We will start with a simple kluctl project setup (this tutorial) and then advance to a multi-environment and multi-cluster setup (upcoming tutorial). Afterwards, we will also show how daily business (updates, house keeping, …) with such a deployment would look like.

GCP Microservices Demo

From the README.md of GCP Microservices Demo :

Online Boutique is a cloud-native microservices demo application. Online Boutique consists of a 10-tier microservices application. The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them.

This demo application seems to be a good example for a more or less typical application seen on Kubernetes. It has multiple self-developed microservices while also requiring third-party applications/services (e.g. redis) to be deployed and configured properly.

Ways to deploy the demo

The simplest and most naive way to deploy the demo is by using kubectl apply with the provided release manifests:

$ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/microservices-demo/main/release/kubernetes-manifests.yaml

This is also what is shown in the README.md of the microservices demo.

The shortcomings of this approach are however easy to spot, and probably no one would ever follow this approach up to production. As an example, updates to the application and its dependencies will be hard to maintain. Housekeeping (deleting orphan resources) will also be hard to achieve. At some point in time, when you start deploying the application multiple times to different clusters and/or different environments, configuration will also become hard to maintain, as every target might need different configuration. Long story short…without proper tooling, you’ll easily run into painful limitations.

There are multiple solutions available that each solve parts of the limitations and problems. As an example, Helm and Kustomize are well known. Introducing these tools will easily bring you much further, but you will very likely end up with something complicated/complex around these tools to make it usable in daily business. In the worst case, you’d start using Bash scripts that orchestrate your deployments.

GitOps oriented solutions like ArgoCD and Flux are able to relieve you from parts of the deployment orchestration tasks, but bring in new complexities that need to be solved as well.

Deploying with kluctl

In this tutorial, we’ll show how the microservices demo can be deployed and managed with kluctl. We will start with a simple and naive deployment to a local kind cluster. The next tutorial in this series will then focus on making the deployment multi-environment and multi-cluster capable.

The goal is to make a deployment as simple as typing:

$ kluctl deploy -t local

Setting up the kluctl project

The first thing you need is an empty project directory and the .kluctl.yml project configuration:

$ mkdir -p microservices-demo/1-basic-setup
$ cd microservices-demo/1-basic-setup

Inside this new directory, create the file .kluctl.yml with the following content:

targets:
  - name: local
    context: kind-kind

This is a very simple example with only a single target, being a local kind cluster.

You might have noticed that the target configuration refers a kubectl context that is not existing yet. It’s time to create a local kind cluster now. To do so, first ensure that you have kind installed and then run:

$ kind create cluster

After this, you should have a local cluster setup and your kubeconfig prepared with a new context named kind-kind.

Setting up a minimal deployment project

Inside the kluctl project, you will now have to create a minimal deployment project . The deployment project starts with the root deployment.yml .

The location of this deployment.yml is the same as the .kluctl.yml. Create the file with following content:

deployments:
  - path: redis

commonLabels:
  examples.kluctl.io/deployment-project: "microservices-demo"

This minimal deployment project contains two elements:

The list of deployment items , which currently only consists of the upcoming redis deployment. The next chapter will explain this deployment.
The commonLabels , which is a map of common labels and values. These labels are applied to all deployed resources and are later used by kluctl to identify resources that belong to this kluctl deployment.

Setting up the redis deployment

As seen in the previous chapter, the root deployment.yml refers to a redis deployment item. This deployment item must be located inside the sub-folder redis (hence the path: redis). kluctl expects each deployment item to be a kustomize deployment. Such a kustomize deployment can be as simple as a kustomization.yml with a single resources entry or a fully fledged kustomize deployment with overlays, generators, and so on.

For our example, first create the sub-directory redis:

$ mkdir redis

Then create the file redis/kustomization.yml with the following content:

resources:
  - deployment.yml
  - service.yml

Then create the file redis/deployment.yml with the following content:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: redis-cart
spec:
  selector:
    matchLabels:
      app: redis-cart
  template:
    metadata:
      labels:
        app: redis-cart
    spec:
      containers:
      - name: redis
        image: redis:alpine
        ports:
        - containerPort: 6379
        readinessProbe:
          periodSeconds: 5
          tcpSocket:
            port: 6379
        livenessProbe:
          periodSeconds: 5
          tcpSocket:
            port: 6379
        volumeMounts:
        - mountPath: /data
          name: redis-data
        resources:
          limits:
            memory: 256Mi
            cpu: 125m
          requests:
            cpu: 70m
            memory: 200Mi
      volumes:
      - name: redis-data
        emptyDir: {}

And the file redis/service.yml:

apiVersion: v1
kind: Service
metadata:
  name: redis-cart
spec:
  type: ClusterIP
  selector:
    app: redis-cart
  ports:
  - name: redis
    port: 6379
    targetPort: 6379

The above files (deployment.yml and service.yml) are based on the content of redis.yaml from the original GCP Microservices Demo.

As you can see, there is nothing special about the contents of these files so far. It’s simple and plain Kubernetes and YAML resources. The full potential of kluctl will become clear later, when we start to use templating inside these files. Only with the templating, it will become possible to support multi-environment and multi-cluster deployments.

Setting up the first microservice

Now it’s time to setup the first microservice. It is done the same way as we’re already setup the redis deployment.

First, create the sub-directory cartservice at the same level as you created the redis sub-directory. Then create the following files.

Another kustomization.yml

resources:
  - deployment.yml
  - service.yml

Another deployment.yml, with the content found here

Another service.yml, with the content found here

Finally add the new deployment item to the root deployment.yml

...
deployments:
  ...
  # add this line
  - path: cartservice
...

Setting up all other microservices

The GCP Microservices Demo is composed of multiple other services, which can be setup the same way as the microservice shown before. You can do this by yourself, or alternatively switch to the completed example found here .

From now on, we will assume that all microservices have been added (or that you switched to the example project).

Deploy it!

We now have a minimal kluctl project with two simple kustomize deployments. It’s time to deploy it. From inside the kluct project directory, call:

$ kluctl deploy -t local
INFO[0000] Rendering templates and Helm charts          
INFO[0000] Building kustomize objects                   
Do you really want to deploy to the context/cluster kind-kind? (y/N) y
INFO[0001] Getting remote objects by commonLabels       
INFO[0001] Getting 24 additional remote objects         
INFO[0001] Running server-side apply for all objects    
INFO[0001] shippingservice: Applying 2 objects          
INFO[0001] paymentservice: Applying 2 objects           
INFO[0001] currencyservice: Applying 2 objects          
INFO[0001] frontend: Applying 3 objects                 
INFO[0001] loadgenerator: Applying 1 objects            
INFO[0001] recommendationservice: Applying 2 objects    
INFO[0001] productcatalogservice: Applying 2 objects    
INFO[0001] adservice: Applying 2 objects                
INFO[0001] cartservice: Applying 2 objects              
INFO[0001] emailservice: Applying 2 objects             
INFO[0001] checkoutservice: Applying 2 objects          
INFO[0001] redis: Applying 2 objects                    

New objects:
  default/Deployment/adservice
  default/Deployment/cartservice
  default/Deployment/checkoutservice
  default/Deployment/currencyservice
  default/Deployment/emailservice
  default/Deployment/frontend
  default/Deployment/loadgenerator
  default/Deployment/paymentservice
  default/Deployment/productcatalogservice
  default/Deployment/recommendationservice
  default/Deployment/redis-cart
  default/Deployment/shippingservice
  default/Service/adservice
  default/Service/cartservice
  default/Service/checkoutservice
  default/Service/currencyservice
  default/Service/emailservice
  default/Service/frontend
  default/Service/frontend-external
  default/Service/paymentservice
  default/Service/productcatalogservice
  default/Service/recommendationservice
  default/Service/redis-cart
  default/Service/shippingservice

The -t local selects the local target which was previously defined in the .kluctl.yml. Right now we only have this one target, but we will add more targets in upcoming tutorials from this series.

Answer with y to the question if you really want to deploy. The command will output what is happening and then show what has been changed on the target.

Playing around

You have now deployed redis and the cartservice microservice. You can now start to play around with some other kluctl commands. For example, try to change something inside cartservice.yml (e.g. set terminationGracePeriodSeconds to 10) and then run kluctl diff -t local:

$ kluctl diff -t local
INFO[0000] Rendering templates and Helm charts          
...

Changed objects:
  default/Deployment/cartservice

Diff for object default/Deployment/cartservice
+--------------------------------------------------+---------------------------+
| Path                                             | Diff                      |
+--------------------------------------------------+---------------------------+
| spec.template.spec.terminationGracePeriodSeconds | -5                        |
|                                                  | +10                       |
+--------------------------------------------------+---------------------------+

As you can see, kluctl now shows you what will happen. If you’d now perform a kluctl deploy -t local, kluctl would output what has happened (which would be the same as in the diff as long as you don’t change anything else).

If you try to remove (or at least comment out) a microservice, e.g. the cartservice and then run kluctl diff -t local again, you will get:

$ kluctl diff -t local
INFO[0000] Rendering templates and Helm charts          
...

Changed objects:
  default/Deployment/cartservice

Diff for object default/Deployment/cartservice
+--------------------------------------------------+---------------------------+
| Path                                             | Diff                      |
+--------------------------------------------------+---------------------------+
| spec.template.spec.terminationGracePeriodSeconds | -5                        |
|                                                  | +10                       |
+--------------------------------------------------+---------------------------+

Orphan objects:
  default/Service/cartservice
  default/Deployment/cartservice

As you can see, the resources belonging cartservice are listed as “Orphan objects” now, meaning that these are not found locally anymore. A kluctl prune -t local would then give:

$ kluctl prune -t local
INFO[0000] Rendering templates and Helm charts          
...
Do you really want to delete 2 objects? (y/N) y

Deleted objects:
  default/Service/cartservice
  default/Deployment/cartservice

How to continue

The result of this tutorial is a naive version of the microservices demo deployment. There are a few things that you would solve differently in the real world, e.g. use Helm Charts for things like redis instead of proving self-crafted manifests. The next tutorials in this series will focus on a few improvements and refactorings that will make this kluctl project more “realistic” and more useful. They will also introduce concepts like multi-environment and multi-cluster deployments.

1.1.1.2 - 2. Helm Integration

Introduction

The first tutorial in this series demonstrated how to setup a simple kluctl project that is able to deploy the GCP Microservices Demo to a local kind cluster.

This initial kluctl project was however quite naive and too simple to be any way realistic. For example, the project structure is too flat and will likely result in chaos when the project grows. Also, the project used self-crafted manifests while it might have been better to reuse feature rich Helm Charts. We will fix both these issues in this tutorial.

How to start

This tutorial is based on the results of the first tutorial. As an alternative, you can take the 1-basic-project example project found here and use it the base to be able to continue with this tutorial.

You can also deploy the base project and then incrementally perform deployments after each step in this tutorial. This way you will also gain some experience and feeling for to use kluctl.

A simple refactoring

Let’s start with a simple refactoring. Having all deployment items on the root level will easily get unmaintainable.

kluctl allows you to structure your project in all kinds of fashions by leveraging sub-deployments. The deployment items found in deployment projects allows specifying includes which point to sub-directory with another deployment.yml.

Let’s split the deployment into third-party applications (currently only redis) and the project specific microservices. To do this, create the sub-directories third-party and microservices. Then move the redis directory into third-party and all microservice sub-directories into microservices:

$ mkdir third-party
$ mkdir microservices
$ mv redis third-party/
$ mv adservice cartservice checkoutservice currencyservice emailservice \
    frontend loadgenerator paymentservice \
    productcatalogservice recommendationservice shippingservice microservices/

Now change the deployments list inside the root deployment.yml to:

deployments:
  - include: third-party
  - include: services

Add a deployment.yml with the following content into the third-party sub-directory:

deployments:
  - path: redis

And finally a deployment.yml with the following content into the microservices sub-directory:

deployments:
  - path: adservice
  - path: cartservice
  - path: checkoutservice
  - path: currencyservice
  - path: emailservice
  - path: frontend
  - path: loadgenerator
  - path: paymentservice
  - path: productcatalogservice
  - path: recommendationservice
  - path: shippingservice

To get an overview of these changes, look into this commit inside the example project belonging to this tutorial.

If you deploy the new state of the project, you’ll notice that only labels will change. These labels are automatically added to all resources and represent the tags of the corresponding deployment items.

Some notes on project structure

The refactoring from above is meant as an example that demonstrates how sub-deployments can be used to structure your project. Such sub-deployments can also include deeper sub-deployments, allowing you to structure your project in any way and complexity that fits your needs.

Introducing the first Helm Chart

There are many examples where self-crafting of Kubernetes manifests is not the best solution, simply because there is already a large ecosystem of pre-created Kubernetes packages in the form of Helm Charts .

The redis deployment found in the microservices demo is a good example for this, especially as many available Helm Charts offer quite some functionality, for example high availability.

kluctl allows the integration of Helm Charts, which we will do now to replace the self-crafted redis deployment with the Bitname Redis Chart .

First, create the file third-party/redis/helm-chart.yml with the following content:

helmChart:
  repo: https://charts.bitnami.com/bitnami
  chartName: redis
  chartVersion: 16.8.0
  releaseName: cart
  namespace: default
  output: deploy.yml

Most of the above configuration can directly be mapped to Helm invocations (pull, install, …). The output value has a special meaning and must be reflected inside the kustomization.yml resources list. The reason is that kluctl solves the Helm integration by running helm template and writing the result to the file configured via output. After this, kluctl expects that kustomize takes over, which requires that the generated file is references in kustomization.yml.

To do so, simply replace the content of third-party/redis/kustomization.yml with:

resources:
  - deploy.yml

We now need some configuration for the redis chart, which is provides via [third-party/redis/helm-values.yml`](https://kluctl.io/docs/kluctl/reference/deployments/helm/#helm-valuesyml):

architecture: replication

auth:
  enable: false

sentinel:
  enabled: true
  quorum: 2

replica:
  replicaCount: 3
  persistence:
    enabled: true

master:
  persistence:
    enabled: true

The above configuration will configure redis to run in replication mode with sentinel and 3 replicas, giving us some high availability (at least in theory, as we’d still need a HA Kubernetes cluster and proper affinity configuration).

The Redis Chart will also deploy a Service resource, but with a different name as the self-crafted version. This means we have to fix the service name in microservices/cartservice/deployment.yml (look for the environment variable REDIS_ADDR) to point to cart-redis:6379 instead of redis-cart:6379.

You can now remove the old redis related manifests (third-party/redis/deployment.yml and third-party/redis/service.yml).

All the above changes can be found in this commit from the example project.

Pulling Helm Charts

We have now added a Helm Chart to our deployment, but to make it deployable it must be pre-pulled first. kluctl requires Helm Charts to be pre-pulled for multiple reasons. The most important reasons are performance and reproducibility. Performance would significantly suffer if Helm Chart would have to be pulled on-demand at deployment time. Also, Helm Charts have no functionality to ensure that a chart that you pulled yesterday is equivalent to the chart pulled today, even if the version is unchanged.

To pre-pull the redis Helm Chart, simply call:

$ kluctl helm-pull
INFO[0000] Pulling for third-party/redis/helm-chart.yml

This will pre-pull the chart into the sub-directory third-party/redis/charts. This directory is meant to be added to version control, so that it is always available when deploying.

If you ever change the chart version in helm-chart.yml, don’t forget to re-run the above command and commit the resulting changes.

Deploying the current state

It’s time to deploy the current state again:

$ kluctl deploy -t local
INFO[0000] Rendering templates and Helm charts          
...          

New objects:
  default/ConfigMap/cart-redis-configuration
  default/ConfigMap/cart-redis-health
  default/ConfigMap/cart-redis-scripts
  default/Service/cart-redis
  default/Service/cart-redis-headless
  default/ServiceAccount/cart-redis
  default/StatefulSet/cart-redis-node

Changed objects:
  default/Deployment/cartservice

Diff for object default/Deployment/cartservice
+-------------------------------------------------------+------------------------------+
| Path                                                  | Diff                         |
+-------------------------------------------------------+------------------------------+
| spec.template.spec.containers[0].env.REDIS_ADDR.value | -redis-cart:6379             |
|                                                       | +cart-redis:6379             |
+-------------------------------------------------------+------------------------------+

Orphan objects:
  default/Deployment/redis-cart
  default/Service/redis-cart

As you can see, the changes that we did to the kluctl project are reflected in the output of the deploy call, meaning that we can perfectly see what happened. We can see a few new resources which are all redis related, the change of the service name and the old redis resources being marked as orphan. Let’s get rid of the orphan resources:

$ kluctl prune -t local
INFO[0000] Rendering templates and Helm charts          
INFO[0000] Building kustomize objects                   
INFO[0000] Getting remote objects by commonLabels       
The following objects will be deleted:
  default/Service/redis-cart
  default/Deployment/redis-cart
Do you really want to delete 2 objects? (y/N) y

Deleted objects:
  default/Service/redis-cart
  default/Deployment/redis-cart

You have just performed your first house-keeping, which you’ll probably do quite often from now on in your daily DevOps business.

More house-keeping

When time passes, new versions of the Helm Charts that you integrated are going to be released. You might have to keep your deployments up-to-date in such cases. The most naive way is to simply increase the chart version inside helm-chart.yml and then simply re-call kluctl helm-pull.

As the number of used charts can easily grow to a number where it becomes hard to keep everything up-to-date, kluctl offers a command to support you in this:

$ kluctl helm-update
INFO[0005] Chart third-party/redis/helm-chart.yml has new version 16.8.2 available. Old version is 16.8.0.

As you can see, it will display charts with new versions. You can also use the same command to actually update the helm-chart.yml files and ultimately commit these to git:

$ kluctl helm-update --upgrade --commit
INFO[0005] Chart third-party/redis/helm-chart.yml has new version 16.8.2 available. Old version is 16.8.0. 
INFO[0005] Pulling for third-party/redis/helm-chart.yml 
INFO[0010] Committing: Updated helm chart third-party/redis from 16.8.0 to 16.8.2

How to continue

After this tutorial, you have hopefully learned how to better structure your projects and how to integrate third-party Helm Charts into your project, including some basic house-keeping tasks.

The next tutorials in this series will show you how to use this kluctl project as a base to implement a multi-environment and multi-cluster deployment.

1.1.1.3 - 3. Templating and multi-env deployments

Introduction

The second tutorial in this series demonstrated how to integrate Helm into your deployment project and how to keep things structured.

The project is however still not flexible enough to be deployed multiple times and/or in different flavors. As an example, it doesn’t make much sense to deploy redis with replication on a local cluster, as there can’t be any high availability with single node. Also, the resource requests currently used are quite demanding for a single node cluster.

How to start

This tutorial is based on the results of the second tutorial. As an alternative, you can take the 2-helm-integration example project found here and use it as the base to be able to continue with this tutorial.

This time, you should start with a fresh kind cluster. If you are sure that you won’t loose any critical data by deleting the existing cluster, simply run:

$ kind delete cluster
$ kind create cluster

If you’re unsure or if you want to re-use the existing cluster for some reason, you can also simply delete the old deployment:

$ kluctl delete -t local
  INFO[0000] Rendering templates and Helm charts
  INFO[0000] Building kustomize objects
  INFO[0000] Getting remote objects by commonLabels
The following objects will be deleted:
  default/Service/emailservice
  ...
  default/ConfigMap/cart-redis-scripts
  Do you really want to delete 29 objects? (y/N) y

Deleted objects:
  default/ConfigMap/cart-redis-scripts
  ...
  default/StatefulSet/cart-redis-node

The reason to start with a fresh deployment is that we will later switch to different namespaces and stop using the default namespace.

Targets

If we want to allow the deployment to be deployed multiple times, we first need multiple targets in our project. Let’s add 2 targets called test and prod. To do so, modify the content of .kluctl.yml to contain:

targets:
  - name: local
    context: kind-kind
    args:
      env_type: local
  - name: test
    context: kind-kind
    args:
      env_type: real
  - name: prod
    context: kind-kind
    args:
      env_type: real

You might notice that all targets point to the kind cluster at the moment. This is of course not how you would do it in a real project as you’d probably have at least one real production-ready cluster to target your deployments against.

We’ve also introduced args for each target, with each target having an env_type argument configured. This argument will later be used to change details of the deployment, depending on the value of it. For example, setting it to local might change the redis deployment into a single-node/standalone deployment.

Dynamic namespaces

One of the most obvious and also useful application of templates is making namespaces dynamic, depending on the target that you want to deploy. This allows to deploy the same set of deployment/manifests multiple times, even to the same cluster.

There are a few predefined variables which are always available in all deployments. One of these variables is the target dictionary which is a copy of the currently processed target. This means, we can use {{ target.name }} to insert the current target name through templating.

There are multiple ways to change the namespaces of involved resources. The most naive way is to go directly into the manifests and add the metadata.namespace field. For example, you could edit services/adservice/deployment.yml this way:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: adservice
  namespace: ms-demo-{{ target.name }}
...

This can however easily lead to resources being missed or resources where you are not in control, e.g. rendered Helm Charts. Another way to set the namespace on multiple resources is by using the namespace property of kustomize. For example, instead of changing the adservice deployment directly, you could modify the content of services/adservice/kustomization.yml to:

resources:
  - deployment.yml
  - service.yml

namespace: ms-demo-{{ target.name }}

This is better than the naive solution, but still limited in a comparable (but not as bad) way. The most powerful and preferred solution is use overrideNamespace in the root deployment.yml:

...
overrideNamespace: ms-demo-{{ target.name }}
...

As an alternative, you could also use overrideNamespace separately in third-party/deployment.yml and services/deployment.yml. In this case, you’re also free to use different prefixes for the namespaces, as long as you include {{ target.name }} in them.

Please note that overrideNamespace only takes effect on a kustomize deployment if it does NOT specify namespace. If you followed the kustomization.yml example from above, make sure to undo the changes to kustomization.yml.

Helm Charts and namespaces

The previously described way of making namespaces dynamic in all resources works well for most cases. There are however situations where this is not enough, mostly when the name of the namespace is used in other places than metadata.namespace.

Helm Charts very often do this internally, which makes it necessary to also include the dynamic namespace into the helm-chart.yml’s namespace property. You will have to do this for the redis chart as well, so let’s modify third-party/redis/helm-chart.yml to:

helmChart:
  repo: https://charts.bitnami.com/bitnami
  chartName: redis
  chartVersion: 16.8.2
  releaseName: cart
  namespace: ms-demo-{{ target.name }}
  output: deploy.yml

Without this change, redis is going to be deployed successfully but will then fail to start due to wrong internal references to the default namespace.

Making commonLabels unique per target

commonLabels in your root deployment.yml has a very special meaning which is important to understand and work with. The combination of all commonLabels MUST be unique between all supported targets on a cluster, including the ones that don’t exist yet and are from other kluctl projects.

This is because kluctl uses these to identify resources belonging to the currently processed deployment/target, which becomes especially important when deleting or pruning.

To fulfill this requirement, change the root deployment.yml to:

...
commonLabels:
  examples.kluctl.io/deployment-project: "microservices-demo"
  examples.kluctl.io/deployment-target: "{{ target.name }}"
...

examples.kluctl.io/deployment-project ensures that we don’t get in conflict with any other kluctl project that might get deployed to the same cluster. examples.kluctl.io/deployment-target ensures that the same deployment can be deployed once per target. The names of the labels are arbitrary, and you can choose whatever you like.

Creating necessary namespaces

If you’d try to deploy the current state of the project, you’d notice that it will result in many errors where kluctl says that the desired namespace is not found. This is because kluctl does not create namespaces on its own. It also does not do this for Helm Charts, even if helm install for the same charts would do this. In kluctl you have to create namespaces by yourself, which ensures that you have full control over them.

This implies that we must create the necessary namespace resource by ourselves. Let’s put it into its own kustomize deployment below the root directory. First, create the namespaces directory and place a simple kustomization.yml into it:

resources:
  - namespace.yml

In the same directory, create the manifest namespace.yml:

apiVersion: v1
kind: Namespace
metadata:
  name: ms-demo-{{ target.name }}

Now add the new kustomize deployment to the root deployment.yml:

deployments:
  - path: namespaces
  - include: third-party
  - include: services
...

Deploying multiple targets

You’re now able to deploy the current deployment multiple times to the same kind cluster. Simply run:

$ kluctl deploy -t local
$ kluctl deploy -t prod

After this, you’ll have two namespaces with the same set of microservices and two instances of redis (both replicated with 3 replicas) deployed.

All changes together

For a complete overview of the necessary changes to get to this point, look into this commit .

Make the local target more lightweight

Having the microservices demo deployed twice might easily lead to you local cluster being completely overloaded. The solution would obviously be to not deploy the prod target to your local cluster and instead use a real cluster.

However, for the sake of this tutorial, we’ll instead try to introduce a few differences between targets so that they fit better onto the local cluster.

To do so, let’s introduce variables files that contain different sets of configuration for different environment types. These variables files are simply yaml files with arbitrary content, which is then available in future templating contexts.

First, create the sub-directory vars in the root project directory. The name of this directory is arbitrary and up to you, it must however match what is later used in the deployment.yml.

Inside this directory, create the file local.yml with the following content:

redis:
  architecture: standalone
  # the standalone architecture exposes redis via a different service then the replication architecture (which uses sentinel)
  svcName: cart-redis-master

And the file real.yml with the following content:

redis:
  architecture: replication
  # the standalone architecture exposes redis via a different service then the replication architecture (which uses sentinel)
  svcName: cart-redis

To load these variables files into the templating context, modify the root deployment.yml and add the following to the top:

vars:
  - file: ./vars/{{ args.env_type }}.yml
...

As you can see, we can even use templating inside the deployment.yml. Generally, templating can be used everywhere, with a few limitations outlined in the documentation.

The above changes will now load a different variables file, depending on which env_type was specified in the currently processed target. This allows us to customize all kinds of configurations via templating. You’re completely free in how you use this feature, including loading multiple variables files where each one can use the variables loaded by the previous variables file.

To use the newly introduces variables, first modify the content of third-party/redis/helm-values.yml to:

architecture: {{ redis.architecture }}

auth:
  enabled: false

{% if redis.architecture == "replication" %}
sentinel:
  enabled: true
  quorum: 2

replica:
  replicaCount: 3
  persistence:
    enabled: true
{% endif %}

master:
  persistence:
    enabled: true

The templating engine used by kluctl is currently Jinja2 . We suggest reading through the documentation of Jinja2 to understand what is possible. In the example above, we use simple variable expressions and if/else statements.

We will also have to replace the occurrence of cart-redis:6379 with {{ redis.svcName }}:6379 inside services/cartservice/deployment.yml.

For an overview of the above changes, look into this commit .

Deploying the current state

You can now try to deploy the local and test targets. You’ll notice that the local deployment will result in quite a few changes (seen in the diff) and the test target not having any changes at all. You might also want to do a prune for the local target to get rid of the old redis deployment.

Disable a few services for local

Some services are not needed locally or might not even be able to run properly. Let’s assume this applies to the services loadgenerator and emailservice. We can conditionally remove these from the deployment with simple boolean variables in vars/local.yml and vars/real.yml and if/else statements in services/deployment.yml.

Add the following variables to vars/local.yml:

...
services:
  emailservice:
    enabled: false
  loadgenerator:
    enabled: false

And the following variables to vars/real.yml:

...
services:
  emailservice:
    enabled: true
  loadgenerator:
    enabled: true

Now change the content of services/deployment.yml to:

deployments:
  - path: adservice
  - path: cartservice
  - path: checkoutservice
  - path: currencyservice
  {% if services.emailservice.enabled %}
  - path: emailservice
  {% endif %}
  - path: frontend
  {% if services.loadgenerator.enabled %}
  - path: loadgenerator
  {% endif %}
  - path: paymentservice
  - path: productcatalogservice
  - path: recommendationservice
  - path: shippingservice

A deployment to test should not change anything now. Deploying to local however should reveal multiple orphan resources, which you can then prune.

For an overview of the above changes, look into this commit .

How to continue

After this tutorial, you should have a basic understanding how templating in kluctl works and how a multi-environment deployment can be implemented.

We however only deployed to a single cluster so far and are unable to properly manage the image versions of our microservices at the moment. In the next tutorial of this series, we’ll learn how to deploy to multiple clusters and split third-party image management and (self developed) application image management.

1.2 - Examples

1.2.1 - Simple

Very simple example with cluster and deployment in a single repository.

Description

This example is a very simple one that shows how to define a target cluster, context, create a namespace and deploy a nginx. You can configure the name of the namespace by changing the arg environment in .kluctl.yml .

Prerequisites

A running kind cluster with a context named kind-kind.
Of course, you need to install kluctl. Please take a look at the installation guide , in case you need further information.

How to deploy

git clone git@github.com:kluctl/kluctl-examples.git
cd kluctl-examples/simple
kluctl diff --target simple
kluctl deploy --target simple

1.2.2 - Simple Helm

Very simple example of a helm-based deployment.

Description

This example is very similar to simple but it deploys a Helm-based nginx to give a first impression how kluctl and Helm work together.

Prerequisites

A running kind cluster with a context named kind-kind.
Of course, you need to install kluctl. Please take a look at the installation guide , if you need further information.
You also need to install Helm . Please take a look at the Helm installation guide for further information.

How to deploy

git clone git@github.com:kluctl/kluctl-examples.git
cd kluctl-examples/simple-helm
kluctl helm-pull
kluctl diff --target simple-helm
kluctl deploy --target simple-helm

1.2.3 - Microservices demo

Complex example inspired by inspired by the Google Online Boutique Demo .

Description

This example is a more complex one and contains the files for the microservices tutorial inspired by the Google Online Boutique Demo .

Prerequisites

Please take a look at Tutorials for prerequisites.

How to deploy

Please take a look at Tutorials for deployment instructions.

2 - Kluctl Documentation

The missing glue to put together large Kubernetes deployments.

2.1 - Core Concepts

Core Concepts of Kluctl.

These are some core concepts in Kluctl.

Kluctl project

The kluctl project defines targets. It is defined via the .kluctl.yaml configuration file.

Targets

A target defines a target cluster and a set of deployment arguments. Multiple targets can use the same cluster. Targets allow implementing multi-cluster, multi-environment, multi-customer, … deployments.

Deployments

A deployment defines which Kustomize deployments and which sub-deployments to deploy. It also controls the order of deployments.

Deployments may be configured through deployment arguments, which are typically provided via the targets but might also be provided through the CLI.

Variables

Variables are the main source of configuration. They are either loaded yaml files or directly defined inside deployments. Each variables file that is loaded has access to all the variables which were defined before, allowing complex composition of configuration.

After being loaded, variables are usable through the templating engine at all nearly all places.

Templating

All configuration files (including .kluctl.yaml and deployment.yaml) and all Kubernetes manifests involved are processed through a templating engine. The templating engine allows simple variable substitution and also complex control structures (if/else, for loops, …).

Unified CLI

The CLI of kluctl is designed to be unified/consistent as much as possible. Most commands are centered around targets and thus require you to specify the target name (via -t <target>). If you remember how one command works, it’s easy to figure out how the others work. Output from all targets based commands is also unified, allowing you to easily see what will and what did happen.

2.2 - Installation

Installing kluctl.

Kluctl is available as a CLI and as a GitOps controller.

Installing the CLI

Binaries

The kluctl CLI is available as a binary executable for all major platforms, the binaries can be downloaded form GitHub releases page .

Installation with Homebrew

With Homebrew for macOS and Linux:

brew install kluctl/tap/kluctl

Installation with Bash

With Bash for macOS and Linux:

curl -s https://kluctl.io/install.sh | bash

The install script does the following:

attempts to detect your OS
downloads and unpacks the release tar file in a temporary directory
copies the kluctl binary to /usr/local/bin
removes the temporary directory

Build from source

Clone the repository:

git clone https://github.com/kluctl/kluctl
cd kluctl

Build the kluctl binary (requires go >= 1.19):

make build

Run the binary:

./bin/kluctl -h

Container images

A container image with kluctl is available on GitHub:

ghcr.io/kluctl/kluctl:<version>

Installing the GitOps Controller

The controller can be installed via two available options.

Using the “install” sub-command

The kluctl controller install command can be used to install the controller. It will use an embedded version of the Controller Kluctl deployment project found here .

Using a Kluctl deployment

To manage and install the controller via Kluctl, you can use a Git include in your own deployment:

deployments:
  - git:
      url: https://github.com/kluctl/kluctl.git
      subDir: install/controller
      ref: v2.20.3

2.3 - Get Started

Get Started with Kluctl.

This tutorial shows you how to start using kluctl.

Before you begin

A few things must be prepared before you actually begin.

Get a Kubernetes cluster

The first step is of course: You need a kubernetes cluster. It doesn’t really matter where this cluster is hosted, if it’s a local (e.g. kind ) cluster, managed cluster, or a self-hosted cluster, kops or kubespray based, AWS, GCE, Azure, … and so on. Kluctl is completely independent of how Kubernetes is deployed and where it is hosted.

There is however a minimum Kubernetes version that must be met: 1.20.0. This is due to the heavy use of server-side apply which was not stable enough in older versions of Kubernetes.

Prepare your kubeconfig

Your local kubeconfig should be configured to have access to the target Kubernetes cluster via a dedicated context. The context name should match with the name that you want to use for the cluster from now on. Let’s assume the name is test.example.com, then you’d have to ensure that the kubeconfig context test.example.com is correctly pointing and authorized for this cluster.

See Configure Access to Multiple Clusters for documentation on how to manage multiple clusters with a single kubeconfig. Depending on the Kubernetes provisioning/deployment tooling you used, you might also be able to directly export the context into your local kubeconfig. For example, kops is able to export and merge the kubeconfig for a given cluster.

Objectives

Checkout one of the example Kluctl projects
Deploy to your local cluster
Change something and re-deploy

Install Kluctl

The kluctl command-line interface (CLI) is required to perform deployments. Read the installation instructions to figure out how to install it.

Use Kluctl with a plain Kustomize deployment

The simplest way to test out Kluctl is to use an existing Kustomize deployment and just test out the CLI. For example, try it with the podtato-head project :

$ git clone https://github.com/podtato-head/podtato-head.git
$ cd podtato-head/delivery/kustomize/base
$ kluctl deploy

Then try to modify something inside the Kustomize deployment and retry the kluctl deploy call.

Try out the Kluctl examples

For more advanced examples, check out the Kluctl example projects. Clone the example project found at https://github.com/kluctl/kluctl-examples

git clone https://github.com/kluctl/kluctl-examples.git

Choose one of the examples

You can choose whatever example you like from the cloned repository. We will however continue this guide by referring to the simple-helm example found in that repository. Change the current directory:

cd kluctl-examples/simple-helm

Create your local cluster

Create a local cluster with kind :

kind create cluster

This will update your kubeconfig to contain a context with the name kind-kind. By default, all examples will use the currently active context.

Deploy the example

Now run the following command to deploy the example:

kluctl deploy -t simple-helm

Kluctl will perform a diff first and then ask for your confirmation to deploy it. In this case, you should only see some objects being newly deployed.

kubectl -n simple-helm get pod

Change something and re-deploy

Now change something inside the deployment project. You could for example add replicaCount: 2 to deployment/nginx/helm-values.yml. After you have saved your changes, run the deploy command again:

kluctl deploy -t simple-helm

This time it should show your modifications in the diff. Confirm that you want to perform the deployment and then verify it:

kubectl -n simple-helm get pod

You should need 2 instances of the nginx POD running now.

Where to continue?

Continue by reading through the tutorials and by consulting the reference documentation .

2.4 - Philosophy

The philosophy behind kluctl.

Kluctl tries to follow a few basic ideas and a philosophy. Project and deployments structure, as well as all commands are centered on these.

Be practical

Everything found in kluctl is based on years of experience in daily business, from the perspective of a DevOps Engineer. Kluctl prefers practicability when possible, trying to make the daily life of a DevOps Engineer as comfortable as possible.

Consistent CLI

Commands try to be as consistent as possible, making it easy to remember how they are used. For example, a diff is used the same way as a deploy. This applies to all sizes and complexities of projects. A simple/single-application deployment is used the same way as a complex one, so that it is easy to switch between projects.

Mostly declarative

Kluctl tries to be declarative whenever possible, but loosens this in some cases to stay practical. For example, hooks, barriers and waitReadiness allows you to control order of deployments in a way that a pure declarative approach would not allow.

Predictable and traceable

Always know what will happen (diff or --dry-run) and always know what happened (output changes done by a command). There is nothing worse than not knowing what’s going to happen when you deploy the current state to prod. Not knowing what happened is on the same level.

Live and let live

Kluctl tries to not interfere with any other tools or operators. It achieves this by honoring managed fields in an intelligent way. Kluctl will never force-apply anything without being told so, it will also always inform you about fields that you lost ownership of.

CLI/Client first

Kluctl is centered around a unified command line interface and will always prioritize this. This guarantees that the DevOps Engineer never looses control, even if automation and/or GitOps style operators are being used.

No scripting

Kluctl tries its best to remove the need for scripts (e.g. Bash) around deployments. It tries to remove the need for external orchestration of deployment order and/or dependencies.

2.5 - History

The history of kluctl.

Kluctl was created after multiple incarnations of complex multi-environment (e.g. dev, test, prod) deployments, including everything from monitoring, persistency and the actual custom services. The philosophy of these deployments was always “what belongs together, should be put together”, meaning that only as much Git repositories were involved as necessary.

The problems to solve turned out to be always the same:

Dozens of Helm Charts, kustomize deployments and standalone Kubernetes manifests needed to be orchestrated in a way that they work together (services need to connect to the correct databases, and so on)
(Encrypted) Secrets needed to be managed and orchestrated for multiple environments and clusters
Updates of components was always risky and required keeping track of what actually changed since the last deployment
Available tools (Helm, Kustomize) were not suitable to solve this on its own in an easy/natural way
A lot of bash scripting was required to put things together

When this got more and more complex, and the bash scripts started to become a mess (as “simple” Bash scripts always tend to become), kluctl was started from scratch. It now tries to solve the mentioned problems and provide a useful set of features (commands) in a sane and unified way.

The first versions of kluctl were written in Python, hence the use of Jinja2 templating in kluctl. With version 2.0.0, kluctl was rewritten in Go.

2.6 - Reference

Description of configuration files and commands

2.6.1 - Kluctl project

Kluctl project configuration, found in the .kluctl.yaml file.

The .kluctl.yaml is the central configuration and entry point for your deployments. It defines which targets are available to invoke commands on.

Example

An example .kluctl.yaml looks like this:

discriminator: "my-project-{{ target.name }}"

targets:
  # test cluster, dev env
  - name: dev
    context: dev.example.com
    args:
      environment: dev
  # test cluster, test env
  - name: test
    context: test.example.com
    args:
      environment: test
  # prod cluster, prod env
  - name: prod
    context: prod.example.com
    args:
      environment: prod

args:
  - name: environment

Allowed fields

discriminator

Specifies a default discriminator template to be used for targets that don’t have their own discriminator specified.

See target discriminator for details.

targets

Please check the targets sub-section for details.

args

A list of arguments that can or must be passed to most kluctl operations. Each of these arguments is then available in templating via the global args object.

An example looks like this:

targets:
...

args:
  - name: environment
  - name: enable_debug
    default: false
  - name: complex_arg
    default:
      my:
        nested1: arg1
        nested2: arg2

These arguments can then be used in templating, e.g. by using {{ args.environment }}.

When calling kluctl, most of the commands will then require you to specify at least -a environment=xxx and optionally -a enable_debug=true

The following sub chapters describe the fields for argument entries.

name

The name of the argument.

default

If specified, the argument becomes optional and will use the given value as default when not specified.

The default value can be an arbitrary yaml value, meaning that it can also be a nested dictionary. In that case, passing args in nested form will only set the nested value. With the above example of complex_arg, running:

kluctl deploy -t my-target -a my.nested1=override`

will only modify the value below my.nested1 and keep the value of my.nested2.

Using Kluctl without .kluctl.yaml

It’s possible to use Kluctl without any .kluctl.yaml. In that case, all commands must be used without specifying the target.

2.6.1.1 - targets

Required, defines targets for this kluctl project.

Specifies a list of targets for which commands can be invoked. A target puts together environment/target specific configuration and the target cluster. Multiple targets can exist which target the same cluster but with differing configuration (via args).

Each value found in the target definition is rendered with a simple Jinja2 context that only contains the target and args. The rendering process is retried 10 times until it finally succeeds, allowing you to reference the target itself in complex ways.

Target entries have the following form:

targets:
...
  - name: <target_name>
    context: <context_name>
    args:
      arg1: <value1>
      arg2: <value2>
      ...
    images:
      - image: my-image
        resultImage: my-image:1.2.3
    discriminator: "my-project-{{ target.name }}"
...

The following fields are allowed per target:

name

This field specifies the name of the target. The name must be unique. It is referred in all commands via the -t option.

context

This field specifies the kubectl context of the target cluster. The context must exist in the currently active kubeconfig. If this field is omitted, Kluctl will always use the currently active context.

args

This fields specifies a map of arguments to be passed to the deployment project when it is rendered. Allowed argument names are configured via deployment args .

images

This field specifies a list of fixed images to be used by images.get_image(...) . The format is identical to the fixed images file .

discriminator

Specifies a discriminator which is used to uniquely identify all deployed objects on the cluster. It is added to all objects as the value of the kluctl.io/discriminator label. This label is then later used to identify all objects belonging to the deployment project and target, so that Kluctl can determine which objects got orphaned and need to be pruned. The discriminator is also used to identify all objects that need to be deleted when kluctl delete is called.

If no discriminator is set for a target, kluctl prune and kluctl delete are not supported.

The discriminator can be a template which is rendered at project loading time. While rendering, only the target and args are available as global variables in the templating context.

The rendered discriminator should be unique on the target cluster to avoid mis-identification of objects from other deployments or targets. It’s good practice to prefix the discriminator with a project name and at least use the target name to make it unique. Example discriminator to achieve this: my-project-name-{{ target.name }}.

If a target is meant to be deployed multiple times, e.g. by using external arguments , the external arguments should be taken into account as well. Example: my-project-name-{{ target.name }}-{{ args.environment_name }}.

A default discriminator can also be specified which is used whenever a target has no discriminator configured.

2.6.2 - Deployments

Deployments and sub-deployments.

A deployment project is collection of deployment items and sub-deployments. Deployment items are usually Kustomize deployments, but can also integrate Helm Charts .

Basic structure

The following visualization shows the basic structure of a deployment project. The entry point of every deployment project is the deployment.yaml file, which then includes further sub-deployments and kustomize deployments. It also provides some additional configuration required for multiple kluctl features to work as expected.

As can be seen, sub-deployments can include other sub-deployments, allowing you to structure the deployment project as you need.

Each level in this structure recursively adds tags to each deployed resources, allowing you to control precisely what is deployed in the future.

Some visualized files/directories have links attached, follow them to get more information.

-- project-dir/
   |-- deployment.yaml
   |-- .gitignore
   |-- kustomize-deployment1/
   |   |-- kustomization.yaml
   |   `-- resource.yaml
   |-- sub-deployment/
   |   |-- deployment.yaml
   |   |-- kustomize-deployment2/
   |   |   |-- resource1.yaml
   |   |   `-- ...
   |   |-- kustomize-deployment3/
   |   |   |-- kustomization.yaml
   |   |   |-- resource1.yaml
   |   |   |-- resource2.yaml
   |   |   |-- patch1.yaml
   |   |   `-- ...
   |   |-- kustomize-with-helm-deployment/
   |   |   |-- charts/
   |   |   |   `-- ...
   |   |   |-- kustomization.yaml
   |   |   |-- helm-chart.yaml
   |   |   `-- helm-values.yaml
   |   `-- subsub-deployment/
   |       |-- deployment.yaml
   |       |-- ... kustomize deployments
   |       `-- ... subsubsub deployments
   `-- sub-deployment/
       `-- ...

Order of deployments

Deployments are done in parallel, meaning that there are usually no order guarantees. The only way to somehow control order, is by placing barriers between kustomize deployments. You should however not overuse barriers, as they negatively impact the speed of kluctl.

Plain Kustomize

It’s also possible to use Kluctl on plain Kustomize deployments. Simply run kluctl deploy from inside the folder of your kustomization.yaml. If you also don’t have a .kluctl.yaml, you can also work without targets.

Please note that pruning and deletion is not supported in this mode.

2.6.2.1 - Deployments

Structure of deployment.yaml.

The deployment.yaml file is the entrypoint for the deployment project. Included sub-deployments also provide a deployment.yaml file with the same structure as the initial one.

An example deployment.yaml looks like this:

deployments:
- path: nginx
- path: my-app
- include: monitoring

commonLabels:
  my.prefix/target: "{{ target.name }}"
  my.prefix/deployment-project: my-deployment-project

The following sub-chapters describe the available fields in the deployment.yaml

deployments

deployments is a list of deployment items. Multiple deployment types are supported, which is documented further down. Individual deployments are performed in parallel, unless a barrier is encountered which causes kluctl to wait for all previous deployments to finish.

Deployments can also be conditional by using the when field.

Simple deployments

Simple deployments are specified via path and are expected to be directories with Kubernetes manifests inside. Kluctl will internally generate a kustomization.yaml from these manifests and treat the deployment item the same way as it would treat a Kustomize deployment .

Example:

deployments:
- path: path/to/manifests

Kustomize deployments

When the deployment item directory specified via path contains a kustomization.yaml, Kluctl will use this file instead of generating one.

Please see Kustomize integration for more details.

Example:

deployments:
- path: path/to/deployment1
- path: path/to/deployment2
  waitReadiness: true

The path must point to a directory relative to the directory containing the deployment.yaml. Only directories that are part of the kluctl project are allowed. The directory must contain a valid kustomization.yaml.

waitReadiness is optional and if set to true instructs kluctl to wait for readiness of each individual object of the kustomize deployment. Readiness is defined in readiness .

Includes

Specifies a sub-deployment project to be included. The included sub-deployment project will inherit many properties of the parent project, e.g. tags, commonLabels and so on.

Example:

deployments:
- include: path/to/sub-deployment

Git includes

Specifies an external git project to be included. The project is included the same way with regular includes, except that the included project can not use/load templates from the parent project. An included project might also include further git projects.

Simple example:

deployments:
- git: git@github.com/example/example.git

This will clone the git repository at git@github.com/example/example.git, checkout the default branch and include it into the current project.

Advanced Example:

deployments:
- git:
    url: git@github.com/example/example.git
    ref: my-branch
    subDir: some/sub/dir

The url specifies the Git url to be cloned and checked out. ref is optional and specifies the branch or tag to be used. If ref is omitted, the default branch will be checked out. subDir is optional and specifies the sub directory inside the git repository to include.

Barriers

Causes kluctl to wait until all previous kustomize deployments have been applied. This is useful when upcoming deployments need the current or previous deployments to be finished beforehand. Previous deployments also include all sub-deployments from included deployments.

Example:

deployments:
- path: kustomizeDeployment1
- path: kustomizeDeployment2
- include: subDeployment1
- barrier: true
# At this point, it's ensured that kustomizeDeployment1, kustomizeDeployment2 and all sub-deployments from
# subDeployment1 are fully deployed.
- path: kustomizeDeployment3

To create a barrier with a custom message, include the message parameter when creating the barrier. The message parameter accepts a string value that represents the custom message.

Example:

deployments:
- path: kustomizeDeployment1
- path: kustomizeDeployment2
- include: subDeployment1
- barrier: true
  message: "Waiting for subDeployment1 to be finished"
# At this point, it's ensured that kustomizeDeployment1, kustomizeDeployment2 and all sub-deployments from
# subDeployment1 are fully deployed.
- path: kustomizeDeployment3

If no custom message is provided, the barrier will be created without a specific message, and the default behavior will be applied.

When viewing the kluctl deploy status, the custom message, if provided, will be displayed along with default barrier information.

deleteObjects

Causes kluctl to delete matching objects, specified by a list of group/kind/name/namespace dictionaries. The order/parallelization of deletion is identical to the order and parallelization of normal deployment items, meaning that it happens in parallel by default until a barrier is encountered.

Example:

deployments:
  - deleteObjects:
      - group: apps
        kind: DaemonSet
        namespace: kube-system
        name: kube-proxy
  - barrier: true
  - path: my-cni

The above example shows how to delete the kube-proxy DaemonSet before installing a CNI (e.g. Cilium in proxy-replacement mode).

deployments common properties

All entries in deployments can have the following common properties:

vars (deployment item)

A list of variable sets to be loaded into the templating context, which is then available in all deployment items and sub-deployments .

See templating for more details.

Example:

deployments:
- path: kustomizeDeployment1
  vars:
    - file: vars1.yaml
    - values:
        var1: value1
- path: kustomizeDeployment2
# all sub-deployments of this include will have the given variables available in their Jinj2 context.
- include: subDeployment1
  vars:
    - file: vars2.yaml

when

Each deployment item can be conditional with the help of the when field. It must be set to a Jinja2 based expression that evaluates to a boolean.

Example:

deployments:
- path: item1
- path: item2
  when: my.var == "my-value"

tags (deployment item)

A list of tags the deployment should have. See tags for more details. For includes, this means that all sub-deployments will get these tags applied to. If not specified, the default tags logic as described in tags is applied.

Example:

deployments:
- path: kustomizeDeployment1
  tags:
    - tag1
    - tag2
- path: kustomizeDeployment2
  tags:
    - tag3
# all sub-deployments of this include will get tag4 applied
- include: subDeployment1
  tags:
    - tag4

alwaysDeploy

Forces a deployment to be included everytime, ignoring inclusion/exclusion sets from the command line. See Deploying with tag inclusion/exclusion for details.

deployments:
- path: kustomizeDeployment1
  alwaysDeploy: true
- path: kustomizeDeployment2

Please note that alwaysDeploy will also cause kluctl render to always render the resources.

skipDeleteIfTags

Forces exclusion of a deployment whenever inclusion/exclusion tags are specified via command line. See Deleting with tag inclusion/exclusion for details.

deployments:
- path: kustomizeDeployment1
  skipDeleteIfTags: true
- path: kustomizeDeployment2

onlyRender

Causes a path to be rendered only but not treated as a deployment item. This can be useful if you for example want to use Kustomize components which you’d refer from other deployment items.

deployments:
- path: component
  onlyRender: true
- path: kustomizeDeployment2

vars (deployment project)

A list of variable sets to be loaded into the templating context, which is then available in all deployment items and sub-deployments .

See templating for more details.

commonLabels

A dictionary of labels and values to be added to all resources deployed by any of the deployment items in this deployment project.

Consider the following example deployment.yaml:

deployments:
  - path: nginx
  - include: sub-deployment1

commonLabels:
  my.prefix/target: {{ target.name }}
  my.prefix/deployment-name: my-deployment-project-name
  my.prefix/label-1: value-1
  my.prefix/label-2: value-2

Every resource deployed by the kustomize deployment nginx will now get the four provided labels attached. All included sub-deployment projects (e.g. sub-deployment1) will also recursively inherit these labels and pass them further down.

In case an included sub-deployment project also contains commonLabels, both dictionaries of commonLabels are merged inside the included sub-deployment project. In case of conflicts, the included common labels override the inherited.

Please note that these commonLabels are not related to commonLabels supported in kustomization.yaml files. It was decided to not rely on this feature but instead attach labels manually to resources right before sending them to kubernetes. This is due to an implementation detail in kustomize which causes commonLabels to also be applied to label selectors, which makes otherwise editable resources read-only when it comes to commonLabels.

commonAnnotations

A dictionary of annotations and values to be added to all resources deployed by any of the deployment items in this deployment project.

commonAnnotations are handled the same as commonLabels in regard to inheriting, merging and overriding.

overrideNamespace

A string that is used as the default namespace for all kustomize deployments which don’t have a namespace set in their kustomization.yaml.

tags (deployment project)

A list of common tags which are applied to all kustomize deployments and sub-deployment includes.

See tags for more details.

ignoreForDiff

A list of objects and fields to ignore while performing diffs. Consider the following example:

deployments:
  - ...

ignoreForDiff:
  - group: apps
    kind: Deployment
    namespace: my-namespace
    name: my-deployment
    fieldPath: spec.replicas

This will remove the spec.replicas field from every resource that matches the object. group, kind, namespace and name can be omitted, which results in all objects matching. fieldPath must be a valid JSON Path . fieldPath may also be a list of JSON paths.

Using regex expressions instead of JSON Pathes is also supported:

deployments:
  - ...

ignoreForDiff:
  - group: apps
    kind: Deployment
    namespace: my-namespace
    name: my-deployment
    fieldPathRegex: metadata.labels.my-label-.*

As an alternative, annotations can be used to control diff behavior of individual resources.

2.6.2.2 - Kustomize Integration

How Kustomize is integrated into Kluctl

kluctl uses kustomize to render final resources. This means, that the finest/lowest level in kluctl is represented with kustomize deployments. These kustomize deployments can then perform further customization, e.g. patching and more. You can also use kustomize to easily generate ConfigMaps or secrets from files.

Generally, everything is possible via kustomization.yaml, is thus possible in kluctl.

We advise to read the kustomize reference . You can also look into the official kustomize example .

One way you might use this is to Kustomize a set of manifests from an external project.

For example:

# deployment.yml
deployments:
- git: git@github.com/example/example.git
  onlyRender: true
- path: kustomize_example

# kustomize_example/kustomization.yml
---
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
bases:
  - ../example
patches:
  - # your patches here

2.6.2.3 - Container Images

Dynamic configuration of container images.

There are usually 2 different scenarios where Container Images need to be specified:

When deploying third party applications like nginx, redis, … (e.g. via the Helm integration ).
- In this case, image versions/tags rarely change, and if they do, this is an explicit change to the deployment. This means it’s fine to have the image versions/tags directly in the deployment manifests.
When deploying your own applications.
- In this case, image versions/tags might change very rapidly, sometimes multiple times per hour. Having these versions/tags directly in the deployment manifests can easily lead to commit spam and hard to manage multi-environment deployments.

kluctl offers a better solution for the second case.

images.get_image()

This is solved via a templating function that is available in all templates/resources. The function is part of the global images object and expects the following arguments:

images.get_image(image)

image
- The image name/repository. It is looked up the list of fixed images.

The function will lookup the given image in the list of fixed images and return the last match.

Example deployment:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-deployment
spec:
  template:
    spec:
      containers:
      - name: c1
        image: "{{ images.get_image('registry.gitlab.com/my-group/my-project') }}"

Fixed images

Fixed images can be configured multiple methods:

Command line argument --fixed-image
Command line argument --fixed-images-file
Target definition
Global ‘images’ variable

Command line argument `--fixed-image`

You can pass fixed images configuration via the --fixed-image argument . Due to environment variables support in the CLI, you can also use the environment variable KLUCTL_FIXED_IMAGE_XXX to configure fixed images.

The format of the --fixed-image argument is --fixed-image image<:namespace:deployment:container>=result. The simplest example is --fixed-image registry.gitlab.com/my-group/my-project=registry.gitlab.com/my-group/my-project:1.1.2.

Command line argument `--fixed-images-file`

You can also configure fixed images via a yaml file by using --fixed-images-file /path/to/fixed-images.yaml. file:

images:
  - image: registry.gitlab.com/my-group/my-project
    resultImage: registry.gitlab.com/my-group/my-project:1.1.2

The file must contain a single root list named images with each entry having the following form:

images:
  - image: <image_name>
    resultImage: <result_image>
    # optional fields
    namespace: <namespace>
    deployment: <kind>/<name>
    container: <name>

image and resultImage are required. All the other fields are optional and allow to specify in detail for which object the fixed is specified.

Target definition

The target definition can optionally specify an images field that can contain the same fixed images configuration as found in the --fixed-images-file file.

Global ‘images’ variable

You can also define a global variable named images via one of the variable sources . This variable must be a list of the same format as the images list in the --fixed-images-file file.

This option allows to externalize fixed images configuration, meaning that you can maintain image versions outside the deployment project, e.g. in another Git repository .

2.6.2.4 - Helm Integration

How Helm is integrated into Kluctl.

kluctl offers a simple-to-use Helm integration, which allows you to reuse many common third-party Helm Charts.

The integration is split into 2 parts/steps/layers. The first is the management and pulling of the Helm Charts, while the second part handles configuration/customization and deployment of the chart.

It is recommended to pre-pull Helm Charts with kluctl helm-pull , which will store the pulled charts inside .helm-charts of the project directory. It is however also possible (but not recommended) to skip the pre-pulling phase and let kluctl pull Charts on-demand.

When pre-pulling Helm Charts, you can also add the resulting Chart contents into version control. This is actually recommended as it ensures that the deployment will always behave the same. It also allows pull-request based reviews on third-party Helm Charts.

How it works

Helm charts are not directly installed via Helm. Instead, kluctl renders the Helm Chart into a single file and then hands over the rendered yaml to kustomize . Rendering is done in combination with a provided helm-values.yaml, which contains the necessary values to configure the Helm Chart.

The resulting rendered yaml is then referred by your kustomization.yaml, from which point on the kustomize integration takes over. This means, that you can perform all desired customization (patches, namespace override, …) as if you provided your own resources via yaml files.

Helm hooks

Helm Hooks are implemented by mapping them to kluctl hooks , based on the following mapping table:

Helm hook	kluctl hook
pre-install	pre-deploy-initial
post-install	post-deploy-initial
pre-delete	Not supported
post-delete	Not supported
pre-upgrade	pre-deploy-upgrade
post-upgrade	post-deploy-upgrade
pre-rollback	Not supported
post-rollback	Not supported
test	Not supported

Please note that this is a best effort approach and not 100% compatible to how Helm would run hooks.

helm-chart.yaml

The helm-chart.yaml defines where to get the chart from, which version should be pulled, the rendered output file name, and a few more Helm options. After this file is added to your project, you need to invoke the helm-pull command to pull the Helm Chart into your local project. It is advised to put the pulled Helm Chart into version control, so that deployments will always be based on the exact same Chart (Helm does not guarantee this when pulling).

Example helm-chart.yaml:

helmChart:
  repo: https://charts.bitnami.com/bitnami
  chartName: redis
  chartVersion: 12.1.1
  updateConstraints: ~12.1.0
  skipUpdate: false
  skipPrePull: false
  releaseName: redis-cache
  namespace: "{{ my.jinja2.var }}"
  output: helm-rendered.yaml # this is optional

When running the helm-pull command, it will search for all helm-chart.yaml files in your project and then pull the chart from the specified repository with the specified version. The pull chart will then be located in the sub-directory charts below the same directory as the helm-chart.yaml

The same filename that was specified in output must then be referred in a kustomization.yaml as a normal local resource. If output is omitted, the default value helm-rendered.yaml is used and must also be referenced in kustomization.yaml.

helmChart inside helm-chart.yaml supports the following fields:

repo

The url to the Helm repository where the Helm Chart is located. You can use hub.helm.sh to search for repositories and charts and then use the repos found there.

OCI based repositories are also supported, for example:

helmChart:
  repo: oci://r.myreg.io/mycharts/pepper
  chartName: pepper
  chartVersion: 1.2.3
  releaseName: pepper
  namespace: pepper

path

As alternative to repo, you can also specify path. The path must point to a local Helm Chart that is relative to the helm-chart.yaml. The local Chart must reside in your Kluctl project.

When path is specified, repo, chartName, chartVersion and updateContrainsts are not allowed.

chartName

The name of the chart that can be found in the repository.

chartVersion

The version of the chart. Must be a valid semantic version.

updateConstraints

Specifies version constraints to be used when running helm-update . See Checking Version Constraints for details on the supported syntax.

If omitted, Kluctl will filter out pre-releases by default. Use a updateConstraints like ~1.2.3-0 to enable pre-releases.

skipUpdate

If set to true, skip this Helm Chart when the helm-update command is called. If omitted, defaults to false.

skipPrePull

If set to true, skip pre-pulling of this Helm Chart when running helm-pull . This will also enable pulling on-demand when the deployment project is rendered/deployed.

releaseName

The name of the Helm Release.

namespace

The namespace that this Helm Chart is going to be deployed to. Please note that this should match the namespace that you’re actually deploying the kustomize deployment to. This means, that either namespace in kustomization.yaml or overrideNamespace in deployment.yaml should match the namespace given here. The namespace should also be existing already at the point in time when the kustomize deployment is deployed.

output

This is the file name into which the Helm Chart is rendered into. Your kustomization.yaml should include this same file. The file should not be existing in your project, as it is created on-the-fly while deploying.

skipCRDs

If set to true, kluctl will pass --skip-crds to Helm when rendering the deployment. If set to false (which is the default), kluctl will pass --include-crds to Helm.

helm-values.yaml

This file should be present when you need to pass custom Helm Value to Helm while rendering the deployment. Please read the documentation of the used Helm Charts for details on what is supported.

Updates to helm-charts

In case a Helm Chart needs to be updated, you can either do this manually by replacing the chartVersion value in helm-chart.yaml and the calling the helm-pull command or by simply invoking helm-update with --upgrade and/or --commit being set.

Private Chart Repositories

It is also possible to use private chart repositories. There are currently two options to provide Helm Repository credentials to Kluctl.

Use `helm repo add --username xxx --password xxx` before

Kluctl will try to find known repositories that are managed by the Helm CLI and then try to reuse the credentials of these. The repositories are identified by the URL of the repository, so it doesn’t matter what name you used when you added the repository to Helm. The same method can be used for client certificate based authentication (--key-file in helm repo add).

Use the –username/–password arguments in `kluctl helm-pull`

See the helm-pull command . You can control repository credentials via --username, --password and --key-file. Each argument must be in the form credentialsId:value, where the credentialsId must match the id specified in the helm-chart.yaml. Example:

helmChart:
  repo: https://raw.githubusercontent.com/example/private-helm-repo/main/
  credentialsId: private-helm-repo
  chartName: my-chart
  chartVersion: 1.2.3
  releaseName: my-chart
  namespace: default

When credentialsId is specified, Kluctl will require you to specify --username=private-helm-repo:my-username and --password=private-helm-repo:my-password. You can also specify a client-side certificate instead via --key-file=private-helm-repo:/path/to/cert.

Multiple Helm Charts can use the same credentialsId.

Environment variables can also be used instead of arguments. See Environment Variables for details.

Templating

Both helm-chart.yaml and helm-values.yaml are rendered by the templating engine before they are actually used. This means, that you can use all available Jinja2 variables at that point, which can for example be seen in the above helm-chart.yaml example for the namespace.

There is however one exception that leads to a small limitation. When helm-pull reads the helm-chart.yaml, it does NOT render the file via the templating engine. This is because it can not know how to properly render the template as it does have no information about targets (there are no -t arguments set) at that point.

This exception leads to the limitation that the helm-chart.yaml MUST be valid yaml even in case it is not rendered via the templating engine. This makes using control statements (if/for/…) impossible in this file. It also makes it a requirement to use quotes around values that contain templates (e.g. the namespace in the above example).

helm-values.yaml is not subject to these limitations as it is only interpreted while deploying.

2.6.2.5 - SOPS Integration

How SOPS is integrated into Kluctl

Kluctl integrates natively with SOPS . Kluctl is able to decrypt all resources referenced by Kustomize deployment items (including simple deployments ). In addition, Kluctl will also decrypt all variable sources of the types file and git .

Kluctl assumes that you have setup sops as usual so that it knows how to decrypt these files.

Only encrypting Secrets’s data

To only encrypt the data and stringData fields of Kubernetes secrets, use a .sops.yaml configuration file that encrypted_regex to filter encrypted fields:

creation_rules:
  - path_regex: .*.yaml
    encrypted_regex: ^(data|stringData)$

Combining templating and SOPS

As an alternative, you can split secret values and the resulting Kubernetes resources into two different places and then use templating to use the secret values wherever needed. Example:

Write the following content into secrets/my-secrets.yaml:

secrets:
  mySecret: secret-value

And encrypt it with SOPS:

$ sops -e -i secrets/my-secrets.yaml

Add this variables source to one of your deployments :

vars:
  - file: secrets/my-secrets.yaml

deployments:
- ...

Then, in one of your deployment items define the following Secret:

apiVersion: v1
kind: Secret
metadata:
  name: my-secret
  namespace: default
stringData:
  secret: "{{ secrets.mySecret }}"

2.6.2.6 - Hooks

Kluctl hooks.

Kluctl supports hooks in a similar fashion as known from Helm Charts. Hooks are executed/deployed before and/or after the actual deployment of a kustomize deployment.

To mark a resource as a hook, add the kluctl.io/hook annotation to a resource. The value of the annotation must be a comma separated list of hook names. Possible value are described in the next chapter.

Hook types

Hook Type	Description
pre-deploy-initial	Executed right before the initial deployment is performed.
post-deploy-initial	Executed right after the initial deployment is performed.
pre-deploy-upgrade	Executed right before a non-initial deployment is performed.
post-deploy-upgrade	Executed right after a non-initial deployment is performed.
pre-deploy	Executed right before any (initial and non-initial) deployment is performed.
post-deploy	Executed right after any (initial and non-initial) deployment is performed.

A deployment is considered to be an “initial” deployment if none of the resources related to the current kustomize deployment are found on the cluster at the time of deployment.

If you need to execute hooks for every deployment, independent of its “initial” state, use pre-deploy-initial,pre-deploy to indicate that it should be executed all the time.

Hook deletion

Hook resources are by default deleted right before creation (if they already existed before). This behavior can be changed by setting the kluctl.io/hook-delete-policy to a comma separated list of the following values:

Policy	Description
before-hook-creation	The default behavior, which means that the hook resource is deleted right before (re-)creation.
hook-succeeded	Delete the hook resource directly after it got “ready”
hook-failed	Delete the hook resource when it failed to get “ready”

Hook readiness

After each deployment/execution of the hooks that belong to a deployment stage (before/after deployment), kluctl waits for the hook resources to become “ready”. Readiness is defined here .

It is possible to disable waiting for hook readiness by setting the annotation kluctl.io/hook-wait to “false”.

2.6.2.7 - Readiness

Definition of readiness.

There are multiple places where kluctl can wait for “readiness” of resources, e.g. for hooks or when waitReadiness is specified on a deployment item. Readiness depends on the resource kind, e.g. for a Job, kluctl would wait until it finishes successfully.

2.6.2.8 - Tags

Every kustomize deployment has a set of tags assigned to it. These tags are defined in multiple places, which is documented in deployment.yaml . Look for the tags field, which is available in multiple places per deployment project.

Tags are useful when only one or more specific kustomize deployments need to be deployed or deleted.

Default tags

deployment items in deployment projects can have an optional list of tags assigned.

If this list is completely omitted, one single entry is added by default. This single entry equals to the last element of the path in the deployments entry.

Consider the following example:

deployments:
  - path: nginx
  - path: some/subdir

In this example, two kustomize deployments are defined. The first would get the tag nginx while the second would get the tag subdir.

In most cases this heuristic is enough to get proper tags with which you can work. It might however lead to strange or even conflicting tags (e.g. subdir is really a bad tag), in which case you’d have to explicitly set tags.

Tag inheritance

Deployment projects and deployments items inherit the tags of their parents. For example, if a deployment project has a tags property defined, all deployments entries would inherit all these tags. Also, the sub-deployment projects included via deployment items of type include inherit the tags of the deployment project. These included sub-deployments also inherit the tags specified by the deployment item itself.

Consider the following example deployment.yaml:

deployments:
  - include: sub-deployment1
    tags:
      - tag1
      - tag2
  - include: sub-deployment2
    tags:
      - tag3
      - tag4
  - include: subdir/subsub

Any kustomize deployment found in sub-deployment1 would now inherit tag1 and tag2. If sub-deployment1 performs any further includes, these would also inherit these two tags. Inheriting is additive and recursive.

The last sub-deployment project in the example is subject to the same default-tags logic as described in Default tags , meaning that it will get the default tag subsub.

Deploying with tag inclusion/exclusion

Special care needs to be taken when trying to deploy only a specific part of your deployment which requires some base resources to be deployed as well.

Imagine a large deployment is able to deploy 10 applications, but you only want to deploy one of them. When using tags to achieve this, there might be some base resources (e.g. Namespaces) which are needed no matter if everything or just this single application is deployed. In that case, you’d need to set alwaysDeploy to true.

Deleting with tag inclusion/exclusion

Also, in most cases, even more special care has to be taken for the same types of resources as decribed before.

Imagine a kustomize deployment being responsible for namespaces deployments. If you now want to delete everything except deployments that have the persistency tag assigned, the exclusion logic would NOT exclude deletion of the namespace. This would ultimately lead to everything being deleted, and the exclusion tag having no effect.

In such a case, you’d need to set skipDeleteIfTags to true as well.

In most cases, setting alwaysDeploy to true also requires setting skipDeleteIfTags to true.

2.6.2.9 - Annotations

Annotations usable in Kubernetes resources.

2.6.2.9.1 - All resources

Annotations on all resources

The following annotations control the behavior of the deploy and related commands.

Control deploy behavior

The following annotations control deploy behavior, especially in regard to conflict resolution.

kluctl.io/delete

If set to “true”, the resource will be deleted at deployment time. Kluctl will not emit an error in case the resource does not exist. A resource with this annotation does not have to be complete/valid as it is never sent to the Kubernetes api server.

kluctl.io/force-apply

If set to “true”, the whole resource will be force-applied, meaning that all fields will be overwritten in case of field manager conflicts.

kluctl.io/force-apply-field

Specifies a JSON Path for fields that should be force-applied. Matching fields will be overwritten in case of field manager conflicts.

If more than one field needs to be specified, add -xxx to the annotation key, where xxx is an arbitrary number.

kluctl.io/ignore-conflicts

If set to “true”, the whole all fields of the object are going to be ignored when conflicts arise. This effectively disables the warnings that are shown when field ownership is lost.

kluctl.io/ignore-conflicts-field

Specifies a JSON Path for fields that should be ignored when conflicts arise. This effectively disables the warnings that are shown when field ownership is lost.

If more than one field needs to be specified, add -xxx to the annotation key, where xxx is an arbitrary number.

Control deletion/pruning

The following annotations control how delete/prune is behaving.

kluctl.io/skip-delete

If set to “true”, the annotated resource will not be deleted when delete or prune is called.

kluctl.io/skip-delete-if-tags

If set to “true”, the annotated resource will not be deleted when delete or prune is called and inclusion/exclusion tags are used at the same time.

This tag is especially useful and required on resources that would otherwise cause cascaded deletions of resources that do not match the specified inclusion/exclusion tags. Namespaces are the most prominent example of such resources, as they most likely don’t match exclusion tags, but cascaded deletion would still cause deletion of the excluded resources.

Control diff behavior

The following annotations control how diffs are performed.

kluctl.io/diff-name

This annotation will override the name of the object when looking for the in-cluster version of an object used for diffs. This is useful when you are forced to use new names for the same objects whenever the content changes, e.g. for all kinds of immutable resource types.

Example (filename job.yaml):

apiVersion: batch/v1
kind: Job
metadata:
  name: myjob-{{ load_sha256("job.yaml", 6) }}
  annotations:
    kluctl.io/diff-name: myjob
spec:
  template:
    spec:
      containers:
      - name: hello
        image: busybox
        command: ["sh",  "-c", "echo hello"]
      restartPolicy: Never

Without the kluctl.io/diff-name annotation, any change to the job.yaml would be treated as a new object in resulting diffs from various commands. This is due to the inclusion of the file hash in the job name. This would make it very hard to figure out what exactly changed in an object.

With the kluctl.io/diff-name annotation, kluctl will pick an existing job from the cluster with the same diff-name and use it for the diff, making it a lot easier to analyze changes. If multiple objects match, the one with the youngest creationTimestamp is chosen.

Please note that this will not cause old objects (with the same diff-name) to be prunes. You still have to regularely prune the deployment.

kluctl.io/ignore-diff

If set to “true”, the whole resource will be ignored while calculating diffs.

kluctl.io/ignore-diff-field

Specifies a JSON Path for fields that should be ignored while calculating diffs.

If more than one field needs to be specified, add -xxx to the annotation key, where xxx is an arbitrary number.

kluctl.io/ignore-diff-field-regex

Same as kluctl.io/ignore-diff-field but specifying a regular expressions instead of a JSON Path.

If more than one field needs to be specified, add -xxx to the annotation key, where xxx is an arbitrary number.

2.6.2.9.2 - Hooks

Annotations on hooks

The following annotations control hook execution

See hooks for more details.

kluctl.io/hook

Declares a resource to be a hook, which is deployed/executed as described in hooks . The value of the annotation determines when the hook is deployed/executed.

kluctl.io/hook-weight

Specifies a weight for the hook, used to determine deployment/execution order.

kluctl.io/hook-delete-policy

Defines when to delete the hook resource.

kluctl.io/hook-wait

Defines whether kluctl should wait for hook-completion.

2.6.2.9.3 - Validation

Annotations to control validation

The following annotations influence the validate command.

validate-result.kluctl.io/xxx

If this annotation is found on a resource that is checked while validation, the key and the value of the annotation are added to the validation result, which is then returned by the validate command.

The annotation key is dynamic, meaning that all annotations that begin with validate-result.kluctl.io/ are taken into account.

kluctl.io/validate-ignore

If this annotation is set to true, the object will be ignored while kluctl validate is run.

2.6.2.9.4 - Kustomize

Annotations on the kustomization.yaml resource

Even though the kustomization.yaml from Kustomize deployments are not really Kubernetes resources (as they are not really deployed), they have the same structure as Kubernetes resources. This also means that the kustomization.yaml can define metadata and annotations. Through these annotations, additional behavior on the deployment can be controlled.

Example:

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization

metadata:
  annotations:
    kluctl.io/barrier: "true"
    kluctl.io/wait-readiness: "true"

resources:
  - deployment.yaml

kluctl.io/barrier

If set to true, kluctl will wait for all previous objects to be applied (but not necessarily ready). This has the same effect as barrier from deployment projects.

kluctl.io/wait-readiness

If set to true, kluctl will wait for readiness of all objects from this kustomization project. Readiness is defined the same as in hook readiness .

2.6.3 - Templating

Templating Engine.

kluctl uses a Jinja2 Templating engine to pre-process/render every involved configuration file and resource before actually interpreting it. Only files that are explicitly excluded via .templateignore files are not rendered via Jinja2.

Generally, everything that is possible with Jinja2 is possible in kluctl configuration/resources. Please read into the Jinja2 documentation to understand what exactly is possible and how to use it.

.templateignore

In some cases it is required to exclude specific files from templating, for example when the contents conflict with the used template engine (e.g. Go templates conflict with Jinja2 and cause errors). In such cases, you can place a .templateignore beside the excluded files or into a parent folder of it. The contents/format of the .templateignore file is the same as you would use in a .gitignore file.

Includes and imports

Standard Jinja2 includes and imports can be used in all templates.

The path given to include/import is searched in the directory of the root template and all it’s parent directories up until the project root. Please note that the search path is not altered in included templates, meaning that it will always search in the same directories even if an include happens inside a file that was included as well.

To include/import a file relative to the currently rendered file (which is not necessarily the root template), prefix the path with ./, e.g. use {% include "./my-relative-file.j2" %}".

Macros

Jinja2 macros are fully supported. When writing macros that produce yaml resources, you must use the --- yaml separator in case you want to produce multiple resources in one go.

Why no Go Templating

kluctl started as a python project and was then migrated to be a Go project. In the python world, Jinja2 is the obvious choice when it comes to templating. In the Go world, of course Go Templates would be the first choice.

When the migration to Go was performed, it was a conscious and opinionated decision to stick with Jinja2 templating. The reason is that I (@codablock) believe that Go Templates are hard to read and write and at the same time quite limited in their features (without extensive work). It never felt natural to write Go Templates.

This “feeling” was confirmed by multiple users of kluctl when it started and users described as “relieving” to not be forced to use Go Templates.

The above is my personal experience and opinion. I’m still quite open for contributions in regard to Go Templating support, as long as Jinja2 support is kept.

2.6.3.1 - Predefined Variables

Available predefined variables.

There are multiple variables available which are pre-defined by kluctl. These are:

args

This is a dictionary of arguments given via command line. It contains every argument defined in deployment args .

target

This is the target definition of the currently processed target. It contains all values found in the target definition , for example target.name.

images

This global object provides the dynamic images features described in images .

2.6.3.2 - Variable Sources

Available variable sources.

There are multiple places in deployment projects (deployment.yaml) where additional variables can be loaded into future Jinja2 contexts.

The first place where vars can be specified is the deployment root, as documented here . These vars are visible for all deployments inside the deployment project, including sub-deployments from includes.

The second place to specify variables is in the deployment items, as documented here .

The variables loaded for each entry in vars are not available inside the deployment.yaml file itself. However, each entry in vars can use all variables defined before that specific entry is processed. Consider the following example.

vars:
- file: vars1.yaml
- file: vars2.yaml
- file: optional-vars.yaml
  ignoreMissing: true
- file: default-vars.yaml
  noOverride: true
- file: vars3.yaml
  when: some.var == "value"

vars2.yaml can now use variables that are defined in vars1.yaml. At all times, variables defined by parents of the current sub-deployment project can be used in the current vars file.

Each variable source can have the optional field ignoreMissing set to true, causing Kluctl to ignore if the source can not be found.

When specifying noOverride: true, Kluctl will not override variables from the previously loaded variables. This is useful if you want to load default values for variables.

Variables can also be loaded conditionally by specifying a condition via when: <condition>. The condition must be in the same format as described in conditional deployment items

Different types of vars entries are possible:

file

This loads variables from a yaml file. Assume the following yaml file with the name vars1.yaml:

my_vars:
  a: 1
  b: "b"
  c:
    - l1
    - l2

This file can be loaded via:

vars:
  - file: vars1.yaml

After which all included deployments and sub-deployments can use the jinja2 variables from vars1.yaml.

Kluctl also supports variable files encrypted with SOPS . See the sops integration integration for more details.

values

An inline definition of variables. Example:

vars:
  - values:
      a: 1
      b: c

These variables can then be used in all deployments and sub-deployments.

git

This loads variables from a git repository. Example:

vars:
  - git:
      url: ssh://git@github.com/example/repo.git
      ref: my-branch
      path: path/to/vars.yaml

Kluctl also supports variable files encrypted with SOPS . See the sops integration integration for more details.

clusterConfigMap

Loads a configmap from the target’s cluster and loads the specified key’s value into the templating context. The value is treated and loaded as YAML and thus can either be a simple value or a complex nested structure. In case of a simple value (e.g. a number), you must also specify targetPath.

The referred ConfigMap must already exist while the Kluctl project is loaded, meaning that it is not possible to use a ConfigMap that is deployed as part of the Kluctl project itself.

Assume the following ConfigMap to be already deployed to the target cluster:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-vars
  namespace: my-namespace
data:
  vars: |
    a: 1
    b: "b"
    c:
      - l1
      - l2

This ConfigMap can be loaded via:

vars:
  - clusterConfigMap:
      name: my-vars
      namespace: my-namespace
      key: vars

The following example uses a simple value:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-vars
  namespace: my-namespace
data:
  value: 123

This ConfigMap can be loaded via:

vars:
  - clusterConfigMap:
      name: my-vars
      namespace: my-namespace
      key: value
      targetPath: deep.nested.path

clusterSecret

Same as clusterConfigMap, but for secrets.

http

The http variables source allows to load variables from an arbitrary HTTP resource by performing a GET (or any other configured HTTP method) on the URL. Example:

vars:
  - http:
      url: https://example.com/path/to/my/vars

The above source will load a variables file from the given URL. The file is expected to be in yaml or json format.

The following additional properties are supported for http sources:

method

Specifies the HTTP method to be used when requesting the given resource. Defaults to GET.

body

The body to send along with the request. If not specified, nothing is sent.

headers

A map of key/values pairs representing the header entries to be added to the request. If not specified, nothing is added.

jsonPath

Can be used to select a nested element from the yaml/json document returned by the HTTP request. This is useful in case some REST api is used which does not directly return the variables file. Example:

vars:
  - http:
      url: https://example.com/path/to/my/vars
      jsonPath: $[0].data

The above example would successfully use the following json document as variables source:

[{"data": {"vars": {"var1": "value1"}}}]

Authentication

Kluctl currently supports BASIC and NTLM authentication. It will prompt for credentials when needed.

awsSecretsManager

AWS Secrets Manager integration. Loads a variables YAML from an AWS Secrets Manager secret. The secret can either be specified via an ARN or via a secretName and region combination. An existing AWS config profile can also be specified.

The secrets stored in AWS Secrets manager must contain a valid yaml or json file.

Example using an ARN:

vars:
  - awsSecretsManager:
      secretName: arn:aws:secretsmanager:eu-central-1:12345678:secret:secret-name-XYZ
      profile: my-prod-profile

Example using a secret name and region:

vars:
  - awsSecretsManager:
      secretName: secret-name
      region: eu-central-1
      profile: my-prod-profile

The advantage of the latter is that the auto-generated suffix in the ARN (which might not be known at the time of writing the configuration) doesn’t have to be specified.

vault

Vault by HashiCorp with Tokens authentication integration. The address and the path to the secret can be configured. The implementation was tested with KV Secrets Engine.

Example using vault:

vars:
  - vault:
      address: http://localhost:8200
      path: secret/data/simple

Before deploying please make sure that you have access to vault. You can do this for example by setting the environment variable VAULT_TOKEN.

systemEnvVars

Load variables from environment variables. Children of systemEnvVars can be arbitrary yaml, e.g. dictionaries or lists. The leaf values are used to get a value from the system environment.

Example:

vars:
- systemEnvVars:
    var1: ENV_VAR_NAME1
    someDict:
      var2: ENV_VAR_NAME2
    someList:
      - var3: ENV_VAR_NAME3

The above example will make 3 variables available: var1, someDict.var2 and someList[0].var3, each having the values of the environment variables specified by the leaf values.

All specified environment variables must be set before calling kluctl unless a default value is set. Default values can be set by using the ENV_VAR_NAME:default-value form.

Example:

vars:
- systemEnvVars:
    var1: ENV_VAR_NAME4:defaultValue

The above example will set the variable var1 to defaultValue in case ENV_VAR_NAME4 is not set.

All values retrieved from environment variables (or specified as default values) will be treated as YAML, meaning that integers and booleans will be treated as integers/booleans. If you want to enforce strings, encapsulate the values in quotes.

Example:

vars:
- systemEnvVars:
    var1: ENV_VAR_NAME5:'true'

The above example will treat true as a string instead of a boolean. When the environment variable is set outside kluctl, it should also contain the quotes. Please note that your shell might require escaping to properly pass quotes.

2.6.3.3 - Filters

Available filters.

In addition to the builtin Jinja2 filters , kluctl provides a few additional filters:

b64encode

Encodes the input value as base64. Example: {{ "test" | b64encode }} will result in dGVzdA==.

b64decode

Decodes an input base64 encoded string. Example {{ my.source.var | b64decode }}.

from_yaml

Parses a yaml string and returns an object. Please note that json is valid yaml, meaning that you can also use this filter to parse json.

to_yaml

Converts a variable/object into its yaml representation. Please note that in most cases the resulting string will not be properly indented, which will require you to also use the indent filter. Example:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-config
data:
  config.yaml: |
        {{ my_config | to_yaml | indent(4) }}

to_json

Same as to_yaml, but with json as output. Please note that json is always valid yaml, meaning that you can also use to_json in yaml files. Consider the following example:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-deployment
spec:
  template:
    spec:
      containers:
      - name: c1
        image: my-image
        env: {{ my_list_of_env_entries | to_json }}

This would render json into a yaml file, which is still a valid yaml file. Compare this to how this would have to be solved with to_yaml:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-deployment
spec:
  template:
    spec:
      containers:
      - name: c1
        image: my-image
        env:
          {{ my_list_of_env_entries | to_yaml | indent(10) }}

The required indention filter is the part that makes this error-prone and hard to maintain. Consider using to_json whenever you can.

render

Renders the input string with the current Jinja2 context. Example:

{% set a="{{ my_var }}" %}
{{ a | render }}

sha256(digest_len)

Calculates the sha256 digest of the input string. Example:

{{ "some-string" | sha256 }}

digest_len is an optional parameter that allows to limit the length of the returned hex digest. Example:

{{ "some-string" | sha256(6) }}

slugify

Slugify a string based on python-slugify .

2.6.3.4 - Functions

Available functions.

In addition to the provided builtin global functions , kluctl also provides a few global functions:

load_template(file)

Loads the given file into memory, renders it with the current Jinja2 context and then returns it as a string. Example:

{% set a=load_template('file.yaml') %}
{{ a }}

load_template uses the same path searching rules as described in includes/imports .

load_sha256(file, digest_len)

Loads the given file into memory, renders it and calculates the sha256 hash of the result.

The filename given to load_sha256 is treated the same as in load_template. Recursive loading/calculating of hashes is allowed and is solved by replacing load_sha256 invocations with currently loaded templates with dummy strings. This also allows to calculate the hash of the currently rendered template, for example:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-config-{{ load_sha256("configmap.yaml") }}
data:

digest_len is an optional parameter that allows to limit the length of the returned hex digest.

get_var(field_path, default)

Convenience method to navigate through the current context variables via a JSON Path . Let’s assume you currently have these variables defined (e.g. via vars ):

my:
  deep:
    var: value

Then {{ get_var('my.deep.var', 'my-default') }} would return value. When any of the elements inside the field path are non-existent, the given default value is returned instead.

The field_path parameter can also be a list of pathes, which are then tried one after the another, returning the first result that gives a value that is not None. For example, {{ get_var(['non.existing.var', my.deep.var'], 'my-default') }} would also return value.

merge_dict(d1, d2)

Clones d1 and then recursively merges d2 into it and returns the result. Values inside d2 will override values in d1.

update_dict(d1, d2)

Same as merge_dict, but merging is performed in-place into d1.

raise(msg)

Raises a python exception with the given message. This causes the current command to abort.

debug_print(msg)

Prints a line to stderr.

time.now()

Returns the current time. The returned object has the following members:

member	description
t.as_timezone(tz)	Converts and returns the time `t` in the given timezone. Example: `{{ time.now().as_timezone("Europe/Berlin") }}`
t.weekday()	Returns the time’s weekday. 0 means Monday and 6 means Sunday.
t.hour()	Returns the time’s hour from 0-23.
t.minute()	Returns the time’s minute from 0-59.
t.second()	Returns the time’s second from 0-59.
t.nanosecond()	Returns the time’s nanosecond from 0-999999999.
t + delta	Adds a delta to `t`. Example: `{{ time.now() + time.second * 10 }}`
t - delta	Subtracts a delta from `t`. Example: `{{ time.now() - time.second * 10 }}`
t1 < t2 t1 >= t2 …	Time objects can be compared to other time objects. Example: `{% if time.now() < time.parse_iso("2022-10-01T10:00") %}...{% endif %}` All logical operators are supported.

time.utcnow()

Returns the current time in UTC. The object has the same members as described in time.now() .

time.parse_iso(iso_time_str)

Parse the given string and return a time object. The string must be in ISO time. The object has the same members as described in time.now() .

time.second, time.minute, time.hour

Represents a time delta to be used with t + delta and t - delta. Example

{{ time.now() + time.minute * 10 }}

2.6.4 - GitOps

Kluctl Controller documentation.

GitOps in Kluctl is implemented through the Kluctl Controller, which must be installed to your target cluster.

The Kluctl Controller is a Kubernetes operator which implements the KluctlDeployment custom resource. This resource allows to define a Kluctl deployment that should be constantly reconciled (re-deployed) whenever the deployment changes.

Motivation and Philosophy

Kluctl tries its best to implement all its features via Kluctl projects , meaning that the deployments are, at least theoretically, deployable from the CLI at all times. The Kluctl Controller does not add functionality on top of that and thus does not couple your deployments to a running controller.

Instead, the KluctlDeployment custom resource acts as an interface to the deployment. It tries to offer the same functionality and options as offered by the CLI, but through a custom resource instead of a CLI invocation.

As an example, arguments passed via -a arg=value can be passed to the custom resource via the spec.args field. The same applies to options like --dry-run, which equals to spec.dryRun: true in the custom resource. Check the documentation of KluctlDeployment for more such options.

Installation

Installation instructions can be found here

Design

The reconciliation process consists of multiple steps which are constantly repeated:

clone the root Kluctl project via Git
prepare the Kluctl deployment by rendering the whole deployment
deploy the specified target via kluctl deploy if the rendered resources changed
prune orphaned objects via kluctl prune
validate the deployment status via kluctl validate

Reconciliation is performed on a configurable interval . A single reconciliation iteration will first clone and prepare the project. Only when the rendered resources indicate a change (by using a hash internally), the controller will initiate a deployment. After the deployment, the controller will also perform pruning (only if prune: true is set).

When the KluctlDeployment is removed from the cluster, the controller cal also delete all resources belonging to that deployment. This will only happen if delete: true is set.

Deletion and pruning is based on the discriminator of the given target.

A KluctlDeployment can be suspended . While suspended, the controller will skip reconciliation, including deletion and pruning.

The API design of the controller can be found at kluctldeployment.gitops.kluctl.io/v1beta1 .

Example

After installing the Kluctl Controller, we can create a KluctlDeployment that automatically deploys the Microservices Demo .

Create a KluctlDeployment that uses the demo project source to deploy the test target to the same cluster that the controller runs on.

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: microservices-demo-test
  namespace: kluctl-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: test
  context: default
  prune: true

This example will deploy a fully-fledged microservices application with multiple backend services, frontends and databases, all via one single KluctlDeployment.

To deploy the same Kluctl project to another target (e.g. prod), simply create the following resource.

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
  namespace: kluctl-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  prune: true

2.6.4.1 - Metrics

OpenMetrics-compatible export of controller metrics

2.6.4.1.1 - v1beta1 metrics

gitops.kluctl.io/v1beta1 metrics

Prometheus Metrics

The controller exports several metrics in the OpenMetrics compatible format . They can be scraped by all sorts of monitoring solutions (e.g. Prometheus) or stored in a database. Because the controller is based on controller-runtime , all the default metrics as well as the following controller-specific custom metrics are exported:

kluctldeployment_controller

2.6.4.1.1.1 - Metrics of the KluctlDeployment Controller

KluctlDeployment documentation

Exported Metrics References

Metrics name	Type	Description
deployment_duration_seconds	Histogram	How long a single deployment takes in seconds.
number_of_changed_objects	Gauge	How many objects have been changed by a single deployment.
number_of_deleted_objects	Gauge	How many objects have been deleted by a single deployment.
number_of_errors	Gauge	How many errors are related to a single deployment.
number_of_images	Gauge	Number of images of a single deployment.
number_of_orphan_objects	Gauge	How many orphans are related to a single deployment.
number_of_warnings	Gauge	How many warnings are related to a single deployment.
prune_duration_seconds	Histogram	How long a single prune takes in seconds.
validate_duration_seconds	Histogram	How long a single validate takes in seconds.
deployment_interval_seconds	Gauge	The configured deployment interval of a single deployment.
dry_run_enabled	Gauge	Is dry-run enabled for a single deployment.
last_object_status	Gauge	Last object status of a single deployment. Zero means failure and one means success.
prune_enabled	Gauge	Is pruning enabled for a single deployment.
delete_enabled	Gauge	Is deletion enabled for a single deployment.
source_spec	Gauge	The configured source spec of a single deployment exported via labels.

2.6.4.2 - Specs

Kluctl Controller specs

2.6.4.2.1 - v1beta1 specs

gitops.kluctl.io/v1beta1 documentation

gitops.kluctl.io/v1beta1

This is the v1beta1 API specification for defining continuous delivery pipelines of Kluctl Deployments.

Specification

KluctlDeployment CRD

2.6.4.2.1.1 - KluctlDeployment

KluctlDeployment documentation

The KluctlDeployment API defines a deployment of a target from a Kluctl Project .

Example

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  prune: true
  delete: true

In the above example a KluctlDeployment is being created that defines the deployment based on the Kluctl project.

The deployment is performed every 5 minutes. It will deploy the prod target and then prune orphaned objects afterward.

When the KluctlDeployment gets deleted, delete: true will cause the controller to actually delete the target resources.

It uses the default context provided by the default service account and thus overrides the context specified in the target definition.

Spec fields

source

The KluctlDeployment spec.source specifies the source repository to be used. Example:

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
spec:
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: path/to/project
    secretRef:
      name: git-credentials
    ref:
      branch: my-branch
  ...

The url specifies the git clone url. It can either be a https or a git/ssh url. Git/Ssh url will require a secret to be provided with credentials.

The path specifies the sub-directory where the Kluctl project is located.

The ref provides the Git reference to be used. It can either be a branch or a tag.

See Git authentication for details on authentication.

interval

See Reconciliation .

suspend

See Reconciliation .

target

spec.target specifies the target to be deployed. It must exist in the Kluctl projects kluctl.yaml targets list.

This field is optional and can be omitted if the referenced Kluctl project allows deployments without targets.

targetNameOverride

spec.targetNameOverride will set or override the name of the target. This is equivalent to passing --target-name-override to kluctl deploy.

context

spec.context will override the context used while deploying. This is equivalent to passing --context to kluctl deploy.

deployMode

By default, the operator will perform a full deployment, which is equivalent to using the kluctl deploy command. As an alternative, the controller can be instructed to only perform a kluctl poke-images command. Please see poke-images for details on the command. To do so, set spec.deployMode field to poke-images.

Example:

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  deployMode: poke-images

prune

To enable pruning, set spec.prune to true. This will cause the controller to run kluctl prune after each successful deployment.

delete

To enable deletion, set spec.delete to true. This will cause the controller to run kluctl delete when the KluctlDeployment gets deleted.

args

spec.args is an object representing arguments passed to the deployment. Example:

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  args:
    arg1: value1
    arg2: value2
    arg3:
      k1: v1
      k2: v2

The above example is equivalent to calling kluctl deploy -t prod -a arg1=value1 -a arg2=value2.

images

spec.images specifies a list of fixed images to be used by image.get_image(...) . Example:

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
spec:
  interval: 5m
  source:
    url: https://example.com
  timeout: 2m
  target: prod
  images:
    - image: nginx
      resultImage: nginx:1.21.6
      namespace: example-namespace
      deployment: Deployment/example
    - image: registry.gitlab.com/my-org/my-repo/image
      resultImage: registry.gitlab.com/my-org/my-repo/image:1.2.3

The above example will cause the images.get_image("nginx") invocations of the example Deployment to return nginx:1.21.6. It will also cause all images.get_image("registry.gitlab.com/my-org/my-repo/image") invocations to return registry.gitlab.com/my-org/my-repo/image:1.2.3.

The fixed images provided here take precedence over the ones provided in the target definition .

spec.images is equivalent to calling kluctl deploy -t prod --fixed-image=nginx:example-namespace:Deployment/example=nginx:1.21.6 ... and to kluctl deploy -t prod --fixed-images-file=fixed-images.yaml with fixed-images.yaml containing:

images:
- image: nginx
  resultImage: nginx:1.21.6
  namespace: example-namespace
  deployment: Deployment/example
- image: registry.gitlab.com/my-org/my-repo/image
  resultImage: registry.gitlab.com/my-org/my-repo/image:1.2.3

dryRun

spec.dryRun is a boolean value that turns the deployment into a dry-run deployment. This is equivalent to calling kluctl deploy -t prod --dry-run.

noWait

spec.noWait is a boolean value that disables all internal waiting (hooks and readiness). This is equivalent to calling kluctl deploy -t prod --no-wait.

forceApply

spec.forceApply is a boolean value that causes kluctl to solve conflicts via force apply. This is equivalent to calling kluctl deploy -t prod --force-apply.

replaceOnError and forceReplaceOnError

spec.replaceOnError and spec.forceReplaceOnError are both boolean values that cause kluctl to perform a replace after a failed apply. forceReplaceOnError goes a step further and deletes and recreates the object in question. These are equivalent to calling kluctl deploy -t prod --replace-on-error and kluctl deploy -t prod --force-replace-on-error.

abortOnError

spec.abortOnError is a boolean value that causes kluctl to abort as fast as possible in case of errors. This is equivalent to calling kluctl deploy -t prod --abort-on-error.

includeTags, excludeTags, includeDeploymentDirs and excludeDeploymentDirs

spec.includeTags and spec.excludeTags are lists of tags to be used in inclusion/exclusion logic while deploying. These are equivalent to calling kluctl deploy -t prod --include-tag <tag1> and kluctl deploy -t prod --exclude-tag <tag2>.

spec.includeDeploymentDirs and spec.excludeDeploymentDirs are lists of relative deployment directories to be used in inclusion/exclusion logic while deploying. These are equivalent to calling kluctl deploy -t prod --include-tag <tag1> and kluctl deploy -t prod --exclude-tag <tag2>.

Reconciliation

The KluctlDeployment spec.interval tells the controller at which interval to try reconciliations. The interval time units are s, m and h e.g. interval: 5m, the minimum value should be over 60 seconds.

At each reconciliation run, the controller will check if any rendered objects have been changes since the last deployment and then perform a new deployment if changes are detected. Changes are tracked via a hash consisting of all rendered objects.

To enforce periodic full deployments even if nothing has changed, spec.deployInterval can be used to specify an interval at which forced deployments must be performed by the controller.

The KluctlDeployment reconciliation can be suspended by setting spec.suspend to true.

The controller can be told to reconcile the KluctlDeployment outside of the specified interval by annotating the KluctlDeployment object with kluctl.io/request-reconcile.

On-demand reconciliation example:

kubectl annotate --overwrite kluctldeployment/microservices-demo-prod kluctl.io/request-reconcile="$(date +%s)"

Similarly, a deployment can be forced even if the source has not changed by using the kluctl.io/request-deploy annotation:

kubectl annotate --overwrite kluctldeployment/microservices-demo-prod kluctl.io/request-deploy="$(date +%s)"

Kubeconfigs and RBAC

As Kluctl is meant to be a CLI-first tool, it expects a kubeconfig to be present while deployments are performed. The controller will generate such kubeconfigs on-the-fly before performing the actual deployment.

The kubeconfig can be generated from 3 different sources:

The default impersonation service account specified at controller startup (via --default-service-account)
The service account specified via spec.serviceAccountName in the KluctlDeployment
The secret specified via spec.kubeConfig in the KluctlDeployment.

The behavior/functionality of 1. and 2. is comparable to how the kustomize-controller handles impersonation, with the difference that a kubeconfig with a “default” context is created in-between.

spec.kubeConfig will simply load the kubeconfig from data.value of the specified secret.

Kluctl targets specify a context name that is expected to be present in the kubeconfig while deploying. As the context found in the generated kubeconfig does not necessarily have the correct name, spec.context can be used to while deploying. This is especially useful when using service account based kubeconfigs, as these always have the same context with the name “default”.

Here is an example of a deployment that uses the service account “prod-service-account” and overrides the context appropriately (assuming the Kluctl cluster config for the given target expects a “prod” context):

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
  namespace: kluctl-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  target: prod
  serviceAccountName: prod-service-account
  context: default

Git authentication

The spec.source can optionally specify a spec.source.secretRef (see here ) which must point to an existing secret (in the same namespace) containing Git credentials.

Basic access authentication

To authenticate towards a Git repository over HTTPS using basic access authentication (in other words: using a username and password), the referenced Secret is expected to contain .data.username and .data.password values.

---
apiVersion: v1
kind: Secret
metadata:
  name: basic-access-auth
type: Opaque
data:
  username: <BASE64>
  password: <BASE64>

HTTPS Certificate Authority

To provide a Certificate Authority to trust while connecting with a Git repository over HTTPS, the referenced Secret can contain a .data.caFile value.

---
apiVersion: v1
kind: Secret
metadata:
  name: https-ca-credentials
  namespace: default
type: Opaque
data:
  caFile: <BASE64>

SSH authentication

To authenticate towards a Git repository over SSH, the referenced Secret is expected to contain identity and known_hosts fields. With the respective private key of the SSH key pair, and the host keys of the Git repository.

---
apiVersion: v1
kind: Secret
metadata:
  name: ssh-credentials
type: Opaque
stringData:
  identity: |
    -----BEGIN OPENSSH PRIVATE KEY-----
    ...
    -----END OPENSSH PRIVATE KEY-----    
  known_hosts: |
        github.com ecdsa-sha2-nistp256 AAAA...

Helm Repository authentication

Kluctl allows to integrate Helm Charts in two different ways. One is to pre-pull charts and put them into version control, making it unnecessary to pull them at deploy time. This option also means that you don’t have to take any special care on the controller side.

The other way is to let Kluctl pull Helm Charts at deploy time. In that case, you have to ensure that the controller has the necessary access to the Helm repositories. To add credentials for authentication, set the spec.helmCredentials field to a list of secret references:

Basic access authentication

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
  namespace: kluctl-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  target: prod
  serviceAccountName: prod-service-account
  context: default

  helmCredentials:
    - secretRef:
        name: helm-creds
---
apiVersion: v1
kind: Secret
metadata:
  name: helm-creds
  namespace: kluctl-system
stringData:
  url: https://example-repo.com
  username: my-user
  password: my-password

TLS authentication

For TLS authentication, see the following example secret:

apiVersion: v1
kind: Secret
metadata:
  name: helm-creds
  namespace: kluctl-system
data:
  certFile: <BASE64>
  keyFile: <BASE64>
  # NOTE: Can be supplied without the above values
  caFile: <BASE64>

Disabling TLS verification

In case you need to disable TLS verification (not recommended!), add the key insecureSkipTlsVerify with the value "true" (make sure it’s a string, so surround it with ").

Pass credentials

To enable passing of credentials to all requests, add the key passCredentialsAll with the value "true". This will pass the credentials to all requests, even if the hostname changes.

Secrets Decryption

Kluctl offers a SOPS Integration that allows to use encrypted manifests and variable sources in Kluctl deployments. Decryption by the controller is also supported and currently mirrors how the Secrets Decryption configuration of the Flux Kustomize Controller. To configure it in the KluctlDeployment, simply set the decryption field in the spec:

apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
  namespace: kluctl-system
spec:
  decryption:
    provider: sops
    secretRef:
      name: sops-keys
  ...

The sops-keys Secret has the same format as in the Flux Kustomize Controller .

AWS KMS with IRSA

In addition to the AWS KMS Secret Entry in the secret and the global AWS KMS authentication via the controller’s service account, the Kluctl controller also supports using the IRSA role of the impersonated service account of the KluctlDeployment (specified via serviceAccountName in the spec or --default-service-account):

apiVersion: v1
kind: ServiceAccount
metadata:
  name: kluctl-deployment
  namespace: kluctl-system
  annotations:
    eks.amazonaws.com/role-arn: arn:aws:iam::123456:role/my-irsa-enabled-role
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: kluctl-deployment
  namespace: kluctl-system
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  # watch out, don't use cluster-admin if you don't trust the deployment
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: kluctl-deployment
    namespace: kluctl-system
---
apiVersion: gitops.kluctl.io/v1beta1
kind: KluctlDeployment
metadata:
  name: example
  namespace: kluctl-system
spec:
  serviceAccountName: kluctl-deployment
  decryption:
    provider: sops
    # you can also leave out the secretRef if you don't provide addinional keys
    secretRef:
      name: sops-keys
  ...

Status

When the controller completes a deployments, it reports the result in the status sub-resource.

A successful reconciliation sets the ready condition to true.

status:
  conditions:
  - lastTransitionTime: "2022-07-07T11:48:14Z"
    message: "deploy: ok"
    reason: ReconciliationSucceeded
    status: "True"
    type: Ready
  lastDeployResult:
    ...
  lastPruneResult:
    ...
  lastValidateResult:
    ...

You can wait for the controller to complete a reconciliation with:

kubectl wait kluctldeployment/backend --for=condition=ready

A failed reconciliation sets the ready condition to false:

status:
  conditions:
  - lastTransitionTime: "2022-05-04T10:18:11Z"
    message: target invalid-name not found in kluctl project
    reason: PrepareFailed
    status: "False"
    type: Ready
  lastDeployResult:
    ...
  lastPruneResult:
    ...
  lastValidateResult:
    ...

Note that the lastDeployResult, lastPruneResult and lastValidateResult are only updated on a successful reconciliation.

2.6.4.3 - Legacy Controller Migration

Legacy Controller Migration

Older versions of Kluctl (pre v2.20.0) relied on a legacy version of the Kluctl controller, named flux-kluctl-controller . If you upgraded from such an older version and were already using KluctlDeployments from the flux.kluctl.io API group, you must migrate these deployments to the new gitops.kluctl.io group.

To do this, follow the following steps:

Upgrade the legacy flux-kluctl-controller to at least v0.16.0. This version will introduce a special marker field into the legacy KluctlDeployment status and set it to true. This marker field is used to inform the new Kluctl Controller that the legacy controller is now aware of the existence of the new controller.
If not already done, install the new Kluctl Controller.
To be on the safe side, disable pruning and deletion for all legacy KluctlDeployment objects. Don’t forget to deploy/apply these changes before continuing with the next step.
Modify your KluctlDeployment manifests to use the gitops.kluctl.io/v1beta1 as apiVersion. It’s important to use the same name and namespace as used in the legacy resources. Also read the breaking changes section.
Deploy/Apply the modified KluctlDeployment resources.
At this point, the legacy controller will detect that the KluctlDeployment exists twice, once for the legacy API group/version and once for the new group/version. Based on that knowledge, the legacy controller will stop reconciling the legacy KluctlDeployment.
At the same time, the new controller will detect that the legacy KluctlDeployment has the marker field set, which means that the legacy controller is known to honor the new controller’s existence.
This will lead to the new controller taking over and reconciling the new KluctlDeployment.
If you disabled deletion/pruning in step 3., you should undo this on the new KluctlDeployments now.

After these steps, the legacy KluctlDeployment resources will be excluded from reconciliation by the legacy controller. This means, you can safely remove/prune the legacy resources.

Breaking changes

There exist some breaking changes between the legacy flux.kluctl.io/v1alpha1 and gitops.kluctl.io/v1beta1 custom resources and controllers. These are:

Only deploy when resources change

The legacy controller did a full deploy on each reconciliation, following the Flux way of reconciliations. This behaviour was configurable by allowing you to set spec.deployInterval: never, which disabled full deployments and caused the controller to only deploy when the resulting rendered resources actually changed.

The new controller will behave this way by default, unless you explicitly set spec.deployInterval to some interval value.

This means, you will have to introduce spec.deployInterval in case you expect the controller to behave as before or remove spec.deployInterval: never if you already used the Kluctl specific behavior.

renameContexts has been removed

The spec.renameContexts field is not available anymore. Use spec.context instead.

status will not contain full result anymore

The legacy controller wrote the full command result (with objects, diffs, …) into the status field. The new controller will instead only write a summary of the result.

Why no fully automated migration?

I have decided against a fully automated migration as the move of the API group causes resources to have a different identity. This can easily lead to unexpected behaviour and does not play well with GitOps.

2.6.4.4 - Kluctl Controller API reference

Kluctl Controller API reference

Packages:

gitops.kluctl.io/v1beta1

gitops.kluctl.io/v1beta1

Package v1beta1 contains API Schema definitions for the gitops.kluctl.io v1beta1 API group.

Resource Types:

Decryption

(Appears on: KluctlDeploymentSpec)

Decryption defines how decryption is handled for Kubernetes manifests.

Field	Description
`provider` string	Provider is the name of the decryption engine.
`secretRef` LocalObjectReference	(Optional) The secret name containing the private OpenPGP keys used for decryption.
`serviceAccount` string	(Optional) ServiceAccount specifies the service account used to authenticate against cloud providers. This is currently only usable for AWS KMS keys. The specified service account will be used to authenticate to AWS by signing a token in an IRSA compliant way.

GitRef

(Appears on: ProjectSource)

Field	Description
`branch` string	(Optional) Branch to filter for. Can also be a regex.
`tag` string	(Optional) Branch to filter for. Can also be a regex.

HelmCredentials

(Appears on: KluctlDeploymentSpec)

Field Description

Field	Description
`secretRef` LocalObjectReference	SecretRef holds the name of a secret that contains the Helm credentials. The secret must either contain the fields `credentialsId` which refers to the credentialsId found in https://kluctl.io/docs/kluctl/reference/deployments/helm/#private-chart-repositories or an `url` used to match the credentials found in Kluctl projects helm-chart.yaml files. The secret can either container basic authentication credentials via `username` and `password` or TLS authentication via `certFile` and `keyFile`. `caFile` can be specified to override the CA to use while contacting the repository. The secret can also contain `insecureSkipTlsVerify: "true"`, which will disable TLS verification. `passCredentialsAll: "true"` can be specified to make the controller pass credentials to all requests, even if the hostname changes in-between.

secretRef
LocalObjectReference

SecretRef holds the name of a secret that contains the Helm credentials. The secret must either contain the fields credentialsId which refers to the credentialsId found in https://kluctl.io/docs/kluctl/reference/deployments/helm/#private-chart-repositories or an url used to match the credentials found in Kluctl projects helm-chart.yaml files. The secret can either container basic authentication credentials via username and password or TLS authentication via certFile and keyFile. caFile can be specified to override the CA to use while contacting the repository. The secret can also contain insecureSkipTlsVerify: "true", which will disable TLS verification. passCredentialsAll: "true" can be specified to make the controller pass credentials to all requests, even if the hostname changes in-between.

KluctlDeployment

KluctlDeployment is the Schema for the kluctldeployments API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
KluctlDeploymentSpec

`source` ProjectSource	Specifies the project source location
`decryption` Decryption	(Optional) Decrypt Kubernetes secrets before applying them on the cluster.
`interval` Kubernetes meta/v1.Duration	The interval at which to reconcile the KluctlDeployment. Reconciliation means that the deployment is fully rendered and only deployed when the result changes compared to the last deployment. To override this behavior, set the DeployInterval value.
`retryInterval` Kubernetes meta/v1.Duration	(Optional) The interval at which to retry a previously failed reconciliation. When not specified, the controller uses the Interval value to retry failures.
`deployInterval` SafeDuration	(Optional) DeployInterval specifies the interval at which to deploy the KluctlDeployment, even in cases the rendered result does not change.
`validateInterval` SafeDuration	(Optional) ValidateInterval specifies the interval at which to validate the KluctlDeployment. Validation is performed the same way as with ‘kluctl validate -t ’. Defaults to the same value as specified in Interval. Validate is also performed whenever a deployment is performed, independent of the value of ValidateInterval
`timeout` Kubernetes meta/v1.Duration	(Optional) Timeout for all operations. Defaults to ‘Interval’ duration.
`suspend` bool	(Optional) This flag tells the controller to suspend subsequent kluctl executions, it does not apply to already started executions. Defaults to false.
`helmCredentials` []HelmCredentials	(Optional) HelmCredentials is a list of Helm credentials used when non pre-pulled Helm Charts are used inside a Kluctl deployment.
`serviceAccountName` string	(Optional) The name of the Kubernetes service account to use while deploying. If not specified, the default service account is used.
`kubeConfig` KubeConfig	(Optional) The KubeConfig for deploying to the target cluster. Specifies the kubeconfig to be used when invoking kluctl. Contexts in this kubeconfig must match the context found in the kluctl target. As an alternative, specify the context to be used via ‘context’
`target` string	(Optional) Target specifies the kluctl target to deploy. If not specified, an empty target is used that has no name and no context. Use ‘TargetName’ and ‘Context’ to specify the name and context in that case.
`targetNameOverride` string	(Optional) TargetNameOverride sets or overrides the target name. This is especially useful when deployment without a target.
`context` string	(Optional) If specified, overrides the context to be used. This will effectively make kluctl ignore the context specified in the target.
`args` k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional) Args specifies dynamic target args.
`images` []github.com/kluctl/kluctl/v2/pkg/types.FixedImage	(Optional) Images contains a list of fixed image overrides. Equivalent to using ‘–fixed-images-file’ when calling kluctl.
`dryRun` bool	(Optional) DryRun instructs kluctl to run everything in dry-run mode. Equivalent to using ‘–dry-run’ when calling kluctl.
`noWait` bool	(Optional) NoWait instructs kluctl to not wait for any resources to become ready, including hooks. Equivalent to using ‘–no-wait’ when calling kluctl.
`forceApply` bool	(Optional) ForceApply instructs kluctl to force-apply in case of SSA conflicts. Equivalent to using ‘–force-apply’ when calling kluctl.
`replaceOnError` bool	(Optional) ReplaceOnError instructs kluctl to replace resources on error. Equivalent to using ‘–replace-on-error’ when calling kluctl.
`forceReplaceOnError` bool	(Optional) ForceReplaceOnError instructs kluctl to force-replace resources in case a normal replace fails. Equivalent to using ‘–force-replace-on-error’ when calling kluctl.
`abortOnError` bool	(Optional) ForceReplaceOnError instructs kluctl to abort deployments immediately when something fails. Equivalent to using ‘–abort-on-error’ when calling kluctl.
`includeTags` []string	(Optional) IncludeTags instructs kluctl to only include deployments with given tags. Equivalent to using ‘–include-tag’ when calling kluctl.
`excludeTags` []string	(Optional) ExcludeTags instructs kluctl to exclude deployments with given tags. Equivalent to using ‘–exclude-tag’ when calling kluctl.
`includeDeploymentDirs` []string	(Optional) IncludeDeploymentDirs instructs kluctl to only include deployments with the given dir. Equivalent to using ‘–include-deployment-dir’ when calling kluctl.
`excludeDeploymentDirs` []string	(Optional) ExcludeDeploymentDirs instructs kluctl to exclude deployments with the given dir. Equivalent to using ‘–exclude-deployment-dir’ when calling kluctl.
`deployMode` string	(Optional) DeployMode specifies what deploy mode should be used. The options ‘full-deploy’ and ‘poke-images’ are supported. With the ‘poke-images’ option, only images are patched into the target without performing a full deployment.
`validate` bool	(Optional) Validate enables validation after deploying
`prune` bool	(Optional) Prune enables pruning after deploying.
`delete` bool	(Optional) Delete enables deletion of the specified target when the KluctlDeployment object gets deleted.

status
KluctlDeploymentStatus

KluctlDeploymentSpec

(Appears on: KluctlDeployment)

Field	Description
`source` ProjectSource	Specifies the project source location
`decryption` Decryption	(Optional) Decrypt Kubernetes secrets before applying them on the cluster.
`interval` Kubernetes meta/v1.Duration	The interval at which to reconcile the KluctlDeployment. Reconciliation means that the deployment is fully rendered and only deployed when the result changes compared to the last deployment. To override this behavior, set the DeployInterval value.
`retryInterval` Kubernetes meta/v1.Duration	(Optional) The interval at which to retry a previously failed reconciliation. When not specified, the controller uses the Interval value to retry failures.
`deployInterval` SafeDuration	(Optional) DeployInterval specifies the interval at which to deploy the KluctlDeployment, even in cases the rendered result does not change.
`validateInterval` SafeDuration	(Optional) ValidateInterval specifies the interval at which to validate the KluctlDeployment. Validation is performed the same way as with ‘kluctl validate -t ’. Defaults to the same value as specified in Interval. Validate is also performed whenever a deployment is performed, independent of the value of ValidateInterval
`timeout` Kubernetes meta/v1.Duration	(Optional) Timeout for all operations. Defaults to ‘Interval’ duration.
`suspend` bool	(Optional) This flag tells the controller to suspend subsequent kluctl executions, it does not apply to already started executions. Defaults to false.
`helmCredentials` []HelmCredentials	(Optional) HelmCredentials is a list of Helm credentials used when non pre-pulled Helm Charts are used inside a Kluctl deployment.
`serviceAccountName` string	(Optional) The name of the Kubernetes service account to use while deploying. If not specified, the default service account is used.
`kubeConfig` KubeConfig	(Optional) The KubeConfig for deploying to the target cluster. Specifies the kubeconfig to be used when invoking kluctl. Contexts in this kubeconfig must match the context found in the kluctl target. As an alternative, specify the context to be used via ‘context’
`target` string	(Optional) Target specifies the kluctl target to deploy. If not specified, an empty target is used that has no name and no context. Use ‘TargetName’ and ‘Context’ to specify the name and context in that case.
`targetNameOverride` string	(Optional) TargetNameOverride sets or overrides the target name. This is especially useful when deployment without a target.
`context` string	(Optional) If specified, overrides the context to be used. This will effectively make kluctl ignore the context specified in the target.
`args` k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional) Args specifies dynamic target args.
`images` []github.com/kluctl/kluctl/v2/pkg/types.FixedImage	(Optional) Images contains a list of fixed image overrides. Equivalent to using ‘–fixed-images-file’ when calling kluctl.
`dryRun` bool	(Optional) DryRun instructs kluctl to run everything in dry-run mode. Equivalent to using ‘–dry-run’ when calling kluctl.
`noWait` bool	(Optional) NoWait instructs kluctl to not wait for any resources to become ready, including hooks. Equivalent to using ‘–no-wait’ when calling kluctl.
`forceApply` bool	(Optional) ForceApply instructs kluctl to force-apply in case of SSA conflicts. Equivalent to using ‘–force-apply’ when calling kluctl.
`replaceOnError` bool	(Optional) ReplaceOnError instructs kluctl to replace resources on error. Equivalent to using ‘–replace-on-error’ when calling kluctl.
`forceReplaceOnError` bool	(Optional) ForceReplaceOnError instructs kluctl to force-replace resources in case a normal replace fails. Equivalent to using ‘–force-replace-on-error’ when calling kluctl.
`abortOnError` bool	(Optional) ForceReplaceOnError instructs kluctl to abort deployments immediately when something fails. Equivalent to using ‘–abort-on-error’ when calling kluctl.
`includeTags` []string	(Optional) IncludeTags instructs kluctl to only include deployments with given tags. Equivalent to using ‘–include-tag’ when calling kluctl.
`excludeTags` []string	(Optional) ExcludeTags instructs kluctl to exclude deployments with given tags. Equivalent to using ‘–exclude-tag’ when calling kluctl.
`includeDeploymentDirs` []string	(Optional) IncludeDeploymentDirs instructs kluctl to only include deployments with the given dir. Equivalent to using ‘–include-deployment-dir’ when calling kluctl.
`excludeDeploymentDirs` []string	(Optional) ExcludeDeploymentDirs instructs kluctl to exclude deployments with the given dir. Equivalent to using ‘–exclude-deployment-dir’ when calling kluctl.
`deployMode` string	(Optional) DeployMode specifies what deploy mode should be used. The options ‘full-deploy’ and ‘poke-images’ are supported. With the ‘poke-images’ option, only images are patched into the target without performing a full deployment.
`validate` bool	(Optional) Validate enables validation after deploying
`prune` bool	(Optional) Prune enables pruning after deploying.
`delete` bool	(Optional) Delete enables deletion of the specified target when the KluctlDeployment object gets deleted.

KluctlDeploymentStatus

(Appears on: KluctlDeployment)

KluctlDeploymentStatus defines the observed state of KluctlDeployment

Field	Description
`lastHandledReconcileAt` string	(Optional) LastHandledReconcileAt holds the value of the most recent reconcile request value, so a change of the annotation value can be detected.
`LastHandledDeployAt` string	(Optional)
`observedGeneration` int64	(Optional) ObservedGeneration is the last reconciled generation.
`observedCommit` string	ObservedCommit is the last commit observed
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`projectKey` github.com/kluctl/kluctl/v2/pkg/types/result.ProjectKey	(Optional)
`targetKey` github.com/kluctl/kluctl/v2/pkg/types/result.TargetKey	(Optional)
`lastObjectsHash` string	(Optional)
`lastDeployError` string	(Optional)
`lastPruneError` string	(Optional)
`lastValidateError` string	(Optional)
`lastDeployResult` github.com/kluctl/kluctl/v2/pkg/types/result.CommandResultSummary	(Optional) LastDeployResult is the result of the last deploy command
`lastPruneResult` github.com/kluctl/kluctl/v2/pkg/types/result.CommandResultSummary	(Optional) LastDeployResult is the result of the last prune command
`lastValidateResult` github.com/kluctl/kluctl/v2/pkg/types/result.ValidateResult	(Optional) LastValidateResult is the result of the last validate command

KubeConfig

(Appears on: KluctlDeploymentSpec)

KubeConfig references a Kubernetes secret that contains a kubeconfig file.

Field Description

Field	Description
`secretRef` SecretKeyReference	SecretRef holds the name of a secret that contains a key with the kubeconfig file as the value. If no key is set, the key will default to ‘value’. The secret must be in the same namespace as the Kustomization. It is recommended that the kubeconfig is self-contained, and the secret is regularly updated if credentials such as a cloud-access-token expire. Cloud specific `cmd-path` auth helpers will not function without adding binaries and credentials to the Pod that is responsible for reconciling the KluctlDeployment.

secretRef
SecretKeyReference

SecretRef holds the name of a secret that contains a key with the kubeconfig file as the value. If no key is set, the key will default to ‘value’. The secret must be in the same namespace as the Kustomization. It is recommended that the kubeconfig is self-contained, and the secret is regularly updated if credentials such as a cloud-access-token expire. Cloud specific cmd-path auth helpers will not function without adding binaries and credentials to the Pod that is responsible for reconciling the KluctlDeployment.

LocalObjectReference

(Appears on: Decryption, HelmCredentials, ProjectSource)

Field	Description
`name` string	Name of the referent.

ProjectSource

(Appears on: KluctlDeploymentSpec)

Field	Description
`url` github.com/kluctl/kluctl/v2/pkg/types.GitUrl	Url specifies the Git url where the project source is located
`ref` GitRef	(Optional) Ref specifies the branch, tag or commit that should be used. If omitted, the default branch of the repo is used.
`path` string	(Optional) Path specifies the sub-directory to be used as project directory
`secretRef` LocalObjectReference	(Optional) SecretRef specifies the Secret containing authentication credentials for the git repository. For HTTPS repositories the Secret must contain ‘username’ and ‘password’ fields. For SSH repositories the Secret must contain ‘identity’ and ‘known_hosts’ fields.

SafeDuration

(Appears on: KluctlDeploymentSpec)

Field	Description
`Duration` Kubernetes meta/v1.Duration

SecretKeyReference

(Appears on: KubeConfig)

SecretKeyReference contains enough information to locate the referenced Kubernetes Secret object in the same namespace. Optionally a key can be specified. Use this type instead of core/v1 SecretKeySelector when the Key is optional and the Optional field is not applicable.

Field	Description
`name` string	Name of the Secret.
`key` string	(Optional) Key in the Secret, when not specified an implementation-specific default key is used.

This page was automatically generated with gen-crd-api-reference-docs

2.6.5 - Commands

Description of available commands.

kluctl offers a unified command line interface that allows to standardize all your deployments. Every project, no matter how different it is from other projects, is managed the same way.

You can always call kluctl --help or kluctl <command> --help for a help prompt.

Individual commands are documented in sub-sections.

2.6.5.1 - Common Arguments

Common arguments

A few sets of arguments are common between multiple commands. These arguments are still part of the command itself and must be placed after the command name.

Global arguments

These arguments are available for all commands.

Global arguments:
      --cpu-profile string   Enable CPU profiling and write the result to the given path
      --debug                Enable debug logging
      --no-color             Disable colored output
      --no-update-check      Disable update check on startup

Project arguments

These arguments are available for all commands that are based on a Kluctl project. They control where and how to load the kluctl project and deployment project.

Project arguments:
  Define where and how to load the kluctl project and its components from.

  -a, --arg stringArray                        Passes a template argument in the form of name=value. Nested args
                                               can be set with the '-a my.nested.arg=value' syntax. Values are
                                               interpreted as yaml values, meaning that 'true' and 'false' will
                                               lead to boolean values and numbers will be treated as numbers. Use
                                               quotes if you want these to be treated as strings. If the value
                                               starts with @, it is treated as a file, meaning that the contents
                                               of the file will be loaded and treated as yaml.
      --args-from-file stringArray             Loads a yaml file and makes it available as arguments, meaning that
                                               they will be available thought the global 'args' variable.
      --context string                         Overrides the context name specified in the target. If the selected
                                               target does not specify a context or the no-name target is used,
                                               --context will override the currently active context.
      --git-cache-update-interval duration     Specify the time to wait between git cache updates. Defaults to not
                                               wait at all and always updating caches.
      --local-git-group-override stringArray   Same as --local-git-override, but for a whole group prefix instead
                                               of a single repository. All repositories that have the given prefix
                                               will be overridden with the given local path and the repository
                                               suffix appended. For example,
                                               'gitlab.com:some-org/sub-org=/local/path/to/my-forks' will override
                                               all repositories below 'gitlab.com:some-org/sub-org/' with the
                                               repositories found in '/local/path/to/my-forks'. It will however
                                               only perform an override if the given repository actually exists
                                               locally and otherwise revert to the actual (non-overridden) repository.
      --local-git-override stringArray         Specify a single repository local git override in the form of
                                               'github.com:my-org/my-repo=/local/path/to/override'. This will
                                               cause kluctl to not use git to clone for the specified repository
                                               but instead use the local directory. This is useful in case you
                                               need to test out changes in external git repositories without
                                               pushing them.
  -c, --project-config existingfile            Location of the .kluctl.yaml config file. Defaults to
                                               $PROJECT/.kluctl.yaml
      --project-dir existingdir                Specify the project directory. Defaults to the current working
                                               directory.
  -t, --target string                          Target name to run command for. Target must exist in .kluctl.yaml.
  -T, --target-name-override string            Overrides the target name. If -t is used at the same time, then the
                                               target will be looked up based on -t <name> and then renamed to the
                                               value of -T. If no target is specified via -t, then the no-name
                                               target is renamed to the value of -T.
      --timeout duration                       Specify timeout for all operations, including loading of the
                                               project, all external api calls and waiting for readiness. (default
                                               10m0s)

Image arguments

These arguments are available on some target based commands. They control image versions requested by images.get_image(...) calls .

Image arguments:
  Control fixed images and update behaviour.

  -F, --fixed-image stringArray          Pin an image to a given version. Expects
                                         '--fixed-image=image<:namespace:deployment:container>=result'
      --fixed-images-file existingfile   Use .yaml file to pin image versions. See output of list-images
                                         sub-command or read the documentation for details about the output format

Inclusion/Exclusion arguments

These arguments are available for some target based commands. They control inclusion/exclusion based on tags and deployment item pathes.

Inclusion/Exclusion arguments:
  Control inclusion/exclusion.

      --exclude-deployment-dir stringArray   Exclude deployment dir. The path must be relative to the root
                                             deployment project. Exclusion has precedence over inclusion, same as
                                             in --exclude-tag
  -E, --exclude-tag stringArray              Exclude deployments with given tag. Exclusion has precedence over
                                             inclusion, meaning that explicitly excluded deployments will always
                                             be excluded even if an inclusion rule would match the same deployment.
      --include-deployment-dir stringArray   Include deployment dir. The path must be relative to the root
                                             deployment project.
  -I, --include-tag stringArray              Include deployments with given tag.

Command Results arguments

These arguments control how command results are stored.

Command Results:
  Configure how command results are stored.

      --command-result-namespace string   Override the namespace to be used when writing command results. (default
                                          "kluctl-results")
      --force-write-command-result        Force writing of command results, even if the command is run in dry-run mode.
      --keep-command-results-count int    Configure how many old command results to keep. (default 10)
      --write-command-result              Enable writing of command results into the cluster.

2.6.5.2 - Environment Variables

Controlling Kluctl via environment variables

In addition to arguments, Kluctl can be controlled via a set of environment variables.

Environment variables as arguments

All options/arguments accepted by kluctl can also be specified via environment variables. The name of the environment variables always start with KLUCTL_ and end with the option/argument in uppercase and dashes replaced with underscores. As an example, --dry-run can also be specified with the environment variable KLUCTL_DRY_RUN=true.

If an argument needs to be specified multiple times through environment variables, indexed can be appended to the names of the environment variables, e.g. KLUCTL_ARG_0=name1=value1 and KLUCTL_ARG_1=name2=value2.

Additional environment variables

A few additional environment variables are supported which do not belong to an option/argument. These are:

KLUCTL_REGISTRY_<idx>_HOST, KLUCTL_REGISTRY_<idx>_USERNAME, and so on. See registries for details.
KLUCTL_GIT_<idx>_HOST, KLUCTL_GIT_<idx>_USERNAME, and so on.
KLUCTL_SSH_DISABLE_STRICT_HOST_KEY_CHECKING. Disable ssh host key checking when accessing git repositories.

2.6.5.3 - controller install

controller command

Command

Usage: kluctl controller install [flags]

Install the Kluctl controller This command will install the kluctl-controller to the current Kubernetes clusters.

Arguments

The following sets of arguments are available:

command results arguments

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --context string              Override the context to use.
      --controller-version string   Specify the controller version to install.
      --dry-run                     Performs all kubernetes API calls in dry-run mode.
  -y, --yes                         Suppresses 'Are you sure?' questions and proceeds as if you would answer 'yes'.

2.6.5.4 - controller run

controller command

Command

Usage: kluctl controller run [flags]

Run the Kluctl controller This command will run the Kluctl Controller. This is usually meant to be run inside a cluster and not from your local machine.

Arguments

The following arguments are available:

Misc arguments:
  Command specific arguments.

      --context string                     Override the context to use.
      --default-service-account string     Default service account used for impersonation.
      --dry-run                            Run all deployments in dryRun=true mode.
      --health-probe-bind-address string   The address the probe endpoint binds to. (default ":8081")
      --kubeconfig string                  Override the kubeconfig to use.
      --leader-elect                       Enable leader election for controller manager. Enabling this will
                                           ensure there is only one active controller manager.
      --metrics-bind-address string        The address the metric endpoint binds to. (default ":8080")

2.6.5.5 - delete

delete command

Command

Usage: kluctl delete [flags]

Delete a target (or parts of it) from the corresponding cluster Objects are located based on the target discriminator.

WARNING: This command will also delete objects which are not part of your deployment project (anymore). It really only decides based on the discriminator and does NOT take the local target/state into account!

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --discriminator string                        Override the discriminator used to find objects for deletion.
      --dry-run                                     Performs all kubernetes API calls in dry-run mode.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --no-obfuscate                                Disable obfuscation of sensitive/secret data
  -o, --output-format stringArray                   Specify output format and target file, in the format
                                                    'format=path'. Format can either be 'text' or 'yaml'. Can be
                                                    specified multiple times. The actual format for yaml is
                                                    currently not documented and subject to change.
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --short-output                                When using the 'text' output format (which is the default),
                                                    only names of changes objects are shown instead of showing all
                                                    changes.
  -y, --yes                                         Suppresses 'Are you sure?' questions and proceeds as if you
                                                    would answer 'yes'.

They have the same meaning as described in deploy .

2.6.5.6 - deploy

deploy command

Command

Usage: kluctl deploy [flags]

Deploys a target to the corresponding cluster This command will also output a diff between the initial state and the state after deployment. The format of this diff is the same as for the ‘diff’ command. It will also output a list of prunable objects (without actually deleting them).

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --abort-on-error                              Abort deploying when an error occurs instead of trying the
                                                    remaining deployments
      --dry-run                                     Performs all kubernetes API calls in dry-run mode.
      --force-apply                                 Force conflict resolution when applying. See documentation for
                                                    details
      --force-replace-on-error                      Same as --replace-on-error, but also try to delete and
                                                    re-create objects. See documentation for more details.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --no-obfuscate                                Disable obfuscation of sensitive/secret data
      --no-wait                                     Don't wait for objects readiness'
  -o, --output-format stringArray                   Specify output format and target file, in the format
                                                    'format=path'. Format can either be 'text' or 'yaml'. Can be
                                                    specified multiple times. The actual format for yaml is
                                                    currently not documented and subject to change.
      --readiness-timeout duration                  Maximum time to wait for object readiness. The timeout is
                                                    meant per-object. Timeouts are in the duration format (1s, 1m,
                                                    1h, ...). If not specified, a default timeout of 5m is used.
                                                    (default 5m0s)
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --replace-on-error                            When patching an object fails, try to replace it. See
                                                    documentation for more details.
      --short-output                                When using the 'text' output format (which is the default),
                                                    only names of changes objects are shown instead of showing all
                                                    changes.
  -y, --yes                                         Suppresses 'Are you sure?' questions and proceeds as if you
                                                    would answer 'yes'.

–force-apply

kluctl implements deployments via server-side apply and a custom automatic conflict resolution algorithm. This algurithm is an automatic implementation of the “ Don’t overwrite value, give up management claim ” method. It should work in most cases, but might still fail. In case of such failure, you can use --force-apply to use the “Overwrite value, become sole manager” strategy instead.

Please note that this is a risky operation which might overwrite fields which were initially managed by kluctl but were then overtaken by other managers (e.g. by operators). Always use this option with caution and perform a dry-run before to ensure nothing unexpected gets overwritten.

–replace-on-error

In some situations, patching Kubernetes objects might fail for different reasons. In such cases, you can try --replace-on-error to instruct kluctl to retry with an update operation.

Please note that this will cause all fields to be overwritten, even if owned by other field managers.

–force-replace-on-error

This flag will cause the same replacement attempt on failure as with --replace-on-error. In addition, it will fallback to a delete+recreate operation in case the replace also fails.

Please note that this is a potentially risky operation, especially when an object carries some kind of important state.

–abort-on-error

kluctl does not abort a command when an individual object fails can not be updated. It collects all errors and warnings and outputs them instead. This option modifies the behaviour to immediately abort the command.

2.6.5.7 - poke-images

poke-images command

Command

Usage: kluctl poke-images [flags]

Replace all images in target This command will fully render the target and then only replace images instead of fully deploying the target. Only images used in combination with ‘images.get_image(…)’ are replaced

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --dry-run                                     Performs all kubernetes API calls in dry-run mode.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --no-obfuscate                                Disable obfuscation of sensitive/secret data
  -o, --output-format stringArray                   Specify output format and target file, in the format
                                                    'format=path'. Format can either be 'text' or 'yaml'. Can be
                                                    specified multiple times. The actual format for yaml is
                                                    currently not documented and subject to change.
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --short-output                                When using the 'text' output format (which is the default),
                                                    only names of changes objects are shown instead of showing all
                                                    changes.
  -y, --yes                                         Suppresses 'Are you sure?' questions and proceeds as if you
                                                    would answer 'yes'.

2.6.5.8 - prune

prune command

Command

Usage: kluctl prune [flags]

Searches the target cluster for prunable objects and deletes them

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --dry-run                                     Performs all kubernetes API calls in dry-run mode.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --no-obfuscate                                Disable obfuscation of sensitive/secret data
  -o, --output-format stringArray                   Specify output format and target file, in the format
                                                    'format=path'. Format can either be 'text' or 'yaml'. Can be
                                                    specified multiple times. The actual format for yaml is
                                                    currently not documented and subject to change.
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --short-output                                When using the 'text' output format (which is the default),
                                                    only names of changes objects are shown instead of showing all
                                                    changes.
  -y, --yes                                         Suppresses 'Are you sure?' questions and proceeds as if you
                                                    would answer 'yes'.

They have the same meaning as described in deploy .

2.6.5.9 - validate

validate command

Command

Usage: kluctl validate [flags]

Validates the already deployed deployment This means that all objects are retrieved from the cluster and checked for readiness.

TODO: This needs to be better documented!

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --command-result existingfile                 Specify a command result to use instead of loading a project.
                                                    This will also perform drift detection.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
  -o, --output stringArray                          Specify output target file. Can be specified multiple times
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --sleep duration                              Sleep duration between validation attempts (default 5s)
      --wait duration                               Wait for the given amount of time until the deployment validates
      --warnings-as-errors                          Consider warnings as failures

2.6.5.10 - diff

diff command

Command

Usage: kluctl diff [flags]

Perform a diff between the locally rendered target and the already deployed target The output is by default in human readable form (a table combined with unified diffs). The output can also be changed to output a yaml file. Please note however that the format is currently not documented and prone to changes. After the diff is performed, the command will also search for prunable objects and list them.

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --force-apply                                 Force conflict resolution when applying. See documentation for
                                                    details
      --force-replace-on-error                      Same as --replace-on-error, but also try to delete and
                                                    re-create objects. See documentation for more details.
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --ignore-annotations                          Ignores changes in annotations when diffing
      --ignore-labels                               Ignores changes in labels when diffing
      --ignore-tags                                 Ignores changes in tags when diffing
      --no-obfuscate                                Disable obfuscation of sensitive/secret data
  -o, --output-format stringArray                   Specify output format and target file, in the format
                                                    'format=path'. Format can either be 'text' or 'yaml'. Can be
                                                    specified multiple times. The actual format for yaml is
                                                    currently not documented and subject to change.
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --replace-on-error                            When patching an object fails, try to replace it. See
                                                    documentation for more details.
      --short-output                                When using the 'text' output format (which is the default),
                                                    only names of changes objects are shown instead of showing all
                                                    changes.

--force-apply and --replace-on-error have the same meaning as in deploy .

2.6.5.11 - list-targets

list-targets command

Command

Usage: kluctl list-targets [flags]

Outputs a yaml list with all targets Outputs a yaml list with all targets

Arguments

The following arguments are available:

Misc arguments:
  Command specific arguments.

  -o, --output stringArray   Specify output target file. Can be specified multiple times

2.6.5.12 - helm-pull

helm-pull command

Command

Usage: kluctl helm-pull [flags]

Recursively searches for ‘helm-chart.yaml’ files and pre-pulls the specified Helm charts Kluctl requires Helm Charts to be pre-pulled by default, which is handled by this command. It will collect all required Charts and versions and pre-pull them into .helm-charts. To disable pre-pulling for individual charts, set ‘skipPrePull: true’ in helm-chart.yaml.

See helm-integration for more details.

Arguments

The following sets of arguments are available:

project arguments (except -a)

2.6.5.13 - render

render command

Command

Usage: kluctl render [flags]

Renders all resources and configuration files Renders all resources and configuration files and stores the result in either a temporary directory or a specified directory.

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --kubernetes-version string                   Specify the Kubernetes version that will be assumed. This will
                                                    also override the kubeVersion used when rendering Helm Charts.
      --offline-kubernetes                          Run command in offline mode, meaning that it will not try to
                                                    connect the target cluster
      --print-all                                   Write all rendered manifests to stdout
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.

2.6.5.14 - list-images

list-images command

Command

Usage: kluctl list-images [flags]

Renders the target and outputs all images used via ‘images.get_image(…) The result is a compatible with yaml files expected by –fixed-images-file.

If fixed images (’-f/–fixed-image’) are provided, these are also taken into account, as described in the deploy command.

Arguments

The following sets of arguments are available:

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --kubernetes-version string                   Specify the Kubernetes version that will be assumed. This will
                                                    also override the kubeVersion used when rendering Helm Charts.
      --offline-kubernetes                          Run command in offline mode, meaning that it will not try to
                                                    connect the target cluster
  -o, --output stringArray                          Specify output target file. Can be specified multiple times
      --render-output-dir string                    Specifies the target directory to render the project into. If
                                                    omitted, a temporary directory is used.
      --simple                                      Output a simplified version of the images list

2.6.5.15 - helm-update

helm-update command

Command

Usage: kluctl helm-update [flags]

Recursively searches for ‘helm-chart.yaml’ files and checks for new available versions Optionally performs the actual upgrade and/or add a commit to version control.

Arguments

The following sets of arguments are available:

project arguments (except -a)

In addition, the following arguments are available:

Misc arguments:
  Command specific arguments.

      --commit                                      Create a git commit for every updated chart
      --helm-insecure-skip-tls-verify stringArray   Controls skipping of TLS verification. Must be in the form
                                                    --helm-insecure-skip-tls-verify=<credentialsId>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-key-file stringArray                   Specify client certificate to use for Helm Repository
                                                    authentication. Must be in the form
                                                    --helm-key-file=<credentialsId>:<path>, where <credentialsId>
                                                    must match the id specified in the helm-chart.yaml.
      --helm-password stringArray                   Specify password to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-password=<credentialsId>:<password>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
      --helm-username stringArray                   Specify username to use for Helm Repository authentication.
                                                    Must be in the form
                                                    --helm-username=<credentialsId>:<username>, where
                                                    <credentialsId> must match the id specified in the helm-chart.yaml.
  -i, --interactive                                 Ask for every Helm Chart if it should be upgraded.
      --upgrade                                     Write new versions into helm-chart.yaml and perform helm-pull
                                                    afterwards

3 - Template Controller

Template Controller documentation.

The Template Controller is a controller originating from the Kluctl project, but not limited to Kluctl. It allows to define template objects which are rendered and applied into the cluster based on an input matrix.

In its easiest form, an ObjectTemplate takes one input object (e.g. a ConfigMap) and creates another object (e.g. a Secret) which is then applied into the cluster.

The Template Controller also offers CRDs which allow to query external resources (e.g. GitHub Pull Requests) which can then be used as inputs into ObjectTemplates.

Use Cases

Template Controller has many use case. Some are for example:

Documentation

Reference documentation is available here .

The announcement blog post also contains valuable explanations and examples.

Installation

Installation instructions can be found here

3.1 - Installation

Installation documentation

The Template Controller can currently only be installed via kustomize:

kubectl create ns kluctl-system
kustomize build "https://github.com/kluctl/template-controller/config/install?ref=v0.7.1" | kubectl apply -f-

Helm

A Helm Chart for the controller is also available here . To install the controller via Helm, run:

$ helm repo add kluctl https://kluctl.github.io/charts
$ helm install template-controller kluctl/template-controller

3.2 - Specs

template-controller specs

3.2.1 - v1alpha1 specs

templates.kluctl.io/v1alpha1 documentation

templates.kluctl.io/v1alpha1

This is the v1alpha1 API specification for defining templating related resources.

Specification

Implementation

template-controller

3.2.1.1 - ObjectTemplate

ObjectTemplate documentation

The ObjectTemplate API defines templates that are rendered based on a matrix of input values.

Example

apiVersion: v1
kind: ConfigMap
metadata:
  name: input-configmap
  namespace: default
data:
  x: someValue
---
apiVersion: templates.kluctl.io/v1alpha1
kind: ObjectTemplate
metadata:
  name: example-template
  namespace: default
spec:
  serviceAccountName: example-template-service-account
  prune: true
  matrix:
    - name: input1
      object:
        ref:
          apiVersion: v1
          kind: ConfigMap
          name: input-configmap
  templates:
    - object:
        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: "templated-configmap"
        data:
          y: "{{ matrix.input1.x }}"
    - raw: |
        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: "templated-configmap-from-raw"
        data:
          z: "{{ matrix.input1.x }}"

The above manifests show a simple example that will create two ConfigMaps from one input ConfigMap. The individual fields possible in ObjectTemplate are described further down.

Spec fields

The following fields are supported in spec.

serviceAccountName

ObjectTemplate requires a service account to access cluster objects. This is required when it gathers input objects for the matrix and when it applies rendered objects. Please see security for some important notes!

For this to work, the referenced service account must have at least GET, CREATE and UPDATE permissions for the involved objects and kinds. For the above example, the following service account would be enough:

apiVersion: v1
kind: ServiceAccount
metadata:
  name: example-template-service-account
  namespace: default
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: example-template-service-account
  namespace: default
rules:
  - apiGroups: [""]
    resources: ["configmaps"]
    verbs: ["*"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: example-template-service-account
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: example-template-service-account
subjects:
  - kind: ServiceAccount
    name: example-template-service-account
    namespace: default

interval

Specifies the interval at which the ObjectTemplate is reconciled.

suspend

If set to true, reconciliation is suspended.

prune

If true, the Template Controller will delete rendered objects when either the ObjectTemplate gets deleted or when the rendered object disappears from the rendered objects list.

matrix

The matrix defines a list of matrix entries, which are then used as inputs into the templates. Each entry results in a list of values associated with the entry name. All lists are then multiplied together to form the actual matrix of input values.

Each matrix entry has a name, which is later used to identify the value in the template.

As an example, if you have two entries with simple lists with the following values:

matrix:
- name: input1
  list:
    - a: v1
      b: v2
- name: input2
  list:
    - c: v3
      d: v4

It will lead to the following matrix:

- input1:
    a: v1
    b: v2
  input2:
    c: v3
    d: v4

Now take the following matrix example with an entry with two list items:

matrix:
- name: input1
  list:
    - a: v1
      b: v2
    - a: v1_2
      b: v2_2
- name: input2
  list:
    - c: v3
      d: v4

It will lead to the following matrix:

- input1:
    a: v1
    b: v2
  input2:
    c: v3
    d: v4
- input1:
    a: v1_2
    b: v2_2
  input2:
    c: v3
    d: v4

Each input value is then used as input when rendering the templates. In the above examples, it means that all templates are rendered twice, once with matrix.input1 set to the first input value and the second time with the second input value.

The following matrix entry types are supported:

list

This is the simplest form and represents a list of arbitrary objects. See the above examples.

Due to the use of controller-gen and an internal limitation in regard to validation and CRD generation, list elements must be objects at the moment. A future version of the Template Controller will support arbitrary values (e.g. numbers and strings) as elements.

object

This refers an object on the cluster. The object is read by the controller and then used as an input value for the matrix. Example:

matrix:
- name: input1
  object:
    ref:
      apiVersion: v1
      kind: ConfigMap
      name: input-configmap

The referenced object can be of any kind, but the used service account must have access to the referenced object. The read object is then wholly used as matrix input.

To only use a sub-part of the referenced object, set jsonPath to a valid JSON Path pointing to the subfield(s) that you want to use. Example:

matrix:
- name: input1
  object:
    ref:
      apiVersion: v1
      kind: ConfigMap
      name: input-configmap
      jsonPath: .data

This will make the data field available as input instead of the full object, meaning that values can be used inside the templates by simply referring {{ matrix.input1.my_key }} (no .data required).

In case you want to interpret a subfield as an input list instead of a single value, set expandLists to true. Example:

matrix:
- name: input1
  object:
    ref:
      apiVersion: templates.kluctl.io/v1alpha1
      kind: ListGithubPullRequests
      name: list-gh-prs
      jsonPath: status.pullRequests
      expandLists: true

This will lead to one matrix input per list element at status.pullRequests instead of a single matrix input that represents the list.

templates

templates is a list of template objects. Each template object is rendered and applied once per entry from the multiplied matrix inputs. When rendering, the context contains the global variable matrix representing the current entry. matrix has one member field per named matrix input.

In the lists example from above, this would for example give matrix.input1 and matrix.input2 for each render invocation.

In case a template object is missing the namespace, it is set to the namespace of the ObjectTemplate object.

The service account used for the ObjectTemplate must have permissions to get and apply the resulting objects.

There are currently two forms of template objects supported, object and raw. object is an inline object where each string field is treated as independent template to render. raw represents one large (multi-line) string that is rendered in one-go and then unmarshalled as yaml/json.

It is recommended to prefer object over raw and only revert to raw templates when you need to perform advanced templating (e.g. {% if ... %} or other control structures) or when it is important to treat a field as non-string (e.g. boolean or number) when unmarshalled into an object. An example for such case would be if you want to use a template value for replicas of a Deployment, which MUST be a number.

Example for an object:

templates:
- object:
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: "templated-configmap"
    data:
      y: "{{ matrix.input1.x }}"

Example for a raw template object:

templates:
- raw: |
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: "templated-configmap-from-raw"
    data:
      z: "{{ matrix.input1.x }}"

See templating for more details on the templating engine.

3.2.1.2 - GitProjector

GitProjector documentation

The GitProjector API defines projections of Git repositories.

Projection of Git repositories means that the content of selected branches and selected files are loaded into Kubernetes, accessible through the status of the GitProjector.

The projected branches and files can then be used as matrix inputs for an ObjectTemplate.

Example

apiVersion: templates.kluctl.io/v1alpha1
kind: GitProjector
metadata:
  name: preview
  namespace: default
spec:
  interval: 1m
  url: https://github.com/kluctl/kluctl-examples.git
  # In case you use a private repository
  secretRef:
    name: git-credentials
  ref:
    branch: main
  files:
    - glob: "preview-envs/preview-*.yaml"
      parseYaml: true

The above example creates a GitProjector that will periodically clone the kluctl-examples repo, look for the main branch and all files matching the given glob. It will then parse all yamls and make them available through the GitProjector’s status:

apiVersion: templates.kluctl.io/v1alpha1
kind: GitProjector
metadata:
  name: preview
  namespace: default
spec:
  ...
status:
  allRefsHash: 104d3dc9b5ffabf5ba3c76532fb71da58757c494acdcb7dff3665d256f516612
  conditions:
  - lastTransitionTime: "2022-12-14T09:09:51Z"
    message: Success
    observedGeneration: 1
    reason: Success
    status: "True"
    type: Ready
  result:
  - files:
    - parsed:
      - envName: preview-env1
        replicas: 3
      path: preview-envs/preview-env1.yaml
    - parsed:
      - envName: preview-env2
        replicas: 1
      path: preview-envs/preview-env2.yaml
    ref:
      branch: main

Spec fields

The following fields are supported in spec.

interval

Specifies the interval at which the GitProjector is reconciled.

suspend

If set to true, reconciliation is suspended.

url

The git url of the repository to project. Can either be a https or a git/ssh url.

ref

The git reference to project. Either spec.ref.branch or spec.ref.tag must be set.

Both tags and refs can be regular expressions. In case of a regular expression, the controller will include all matching refs in the status.result field.

secretRef

Same as in the Kluctl Controllers KluctlDeployment

files

List of file to project into the status. Must be of the format:

...
spec:
  ...
  files:
    - glob: "my-file.yaml"
      parseYaml: true

Each entry must at least contain a glob which is used to match files. The controller uses the https://github.com/gobwas/glob library for pattern matching.

If parseYaml is set to true, the controller will try to parse matching files as yaml and include the parsed structured data in the resulting status. Parsing of yaml is done with the assumption that all files possibly contain multiple yaml documents, meaning that even yaml files with just a single document will result in a parsed list of one document.

Consider the following matching yaml file:

envName: preview-env1
replicas: 3

This will result in the following projection:

...
status:
  result:
  - files:
    - parsed:
      - envName: preview-env1
        replicas: 3
      path: preview-envs/preview-env1.yaml
    ref:
      branch: main

If parseYaml is false, the result will contain a raw string representation of the matching files:

...
status:
  result:
  - files:
    - path: preview-envs/preview-env1.yaml
      raw: |-
        envName: preview-env1
        replicas: 3        
    ref:
      branch: main

3.2.1.3 - GithubComment

GithubComment documentation

The GithubComment API allows to post a comment to a GitHub Pull Request.

Example

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-configmap
  namespace: default
data:
  my-key: |
        This can by **any** form of [Markdown](https://en.wikipedia.org/wiki/Markdown) supported by Github.
---
apiVersion: templates.kluctl.io/v1alpha1
kind: GithubComment
metadata:
  name: comment-gh
  namespace: default
spec:
  github:
    owner: my-org-or-user
    repo: my-repo
    pullRequestId: 1234
    tokenRef:
      secretName: git-credentials
      key: github-token
  comment:
    source:
      configMap:
        name: my-configmap
        key: my-key

The above example will post a comment to the specified pull request. The comment’s content is loaded from the ConfigMap my-configmap. Other sources are also supported, see the source field documentation for details.

The comment will be updated whenever the underlying comment source changes.

Spec fields

suspend

If set to true, reconciliation of this comment is suspended.

github

Specifies which GitHub project and pull request to post the comment to.

github.owner

Specifies the user or organisation name where the repository is localed.

github.repo

Specifies the repository name to query PRs for.

github.tokenRef

In case of private repositories, this field can be used to specify a secret that contains a GitHub API token.

github.pullRequestId

Specifies the ID of the pull request.

comment

This field specifies the necessary information for the comment content.

comment.id

This optional field specifies the identifier to mark the comment with so that the controller can identify it. It defaults to a generated id built from the namespace and name of the comment resource.

comment.source

This specifies the comment source. Multiple source types are supported, specified via a sub-field.

comment.source.text

Raw text for the template’s content. Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: GithubComment
metadata:
  name: comment-gh
  namespace: default
spec:
  github:
    owner: my-org-or-user
    repo: my-repo
    pullRequestId: 1234
    tokenRef:
      secretName: git-credentials
      key: github-token
  comment:
    source:
      text: |
                This can by **any** form of [Markdown](https://en.wikipedia.org/wiki/Markdown) supported by Github.

comment.source.configMap

Uses a ConfigMap as source for the comment’s content. Example:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-configmap
  namespace: default
data:
  my-key: |
        This can by **any** form of [Markdown](https://en.wikipedia.org/wiki/Markdown) supported by Github.
---
apiVersion: templates.kluctl.io/v1alpha1
kind: GithubComment
metadata:
  name: comment-gh
  namespace: default
spec:
  github:
    owner: my-org-or-user
    repo: my-repo
    pullRequestId: 1234
    tokenRef:
      secretName: git-credentials
      key: github-token
  comment:
    source:
      configMap:
        name: my-configmap
        key: my-key

comment.source.textTemplate

Uses a TextTemplate as source for the comment’s content. Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: TextTemplate
metadata:
  name: my-texttemplate
  namespace: default
spec:
  inputs:
    ... # See TextTemplate documentation for details.
  template: |
        This can by **any** form of [Markdown](https://en.wikipedia.org/wiki/Markdown) supported by Github.
---
apiVersion: templates.kluctl.io/v1alpha1
kind: GithubComment
metadata:
  name: comment-gh
  namespace: default
spec:
  github:
    owner: my-org-or-user
    repo: my-repo
    pullRequestId: 1234
    tokenRef:
      secretName: git-credentials
      key: github-token
  comment:
    source:
      textTemplate:
        name: my-texttemplate

3.2.1.4 - GitlabComment

GitlabComment documentation

The GitlabComment API allows to post a comment to a Gitlab Merge Request.

Example

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-configmap
  namespace: default
data:
  my-key: |
        This can by **any** form of [Markdown](https://en.wikipedia.org/wiki/Markdown) supported by Gitlab.
---
apiVersion: templates.kluctl.io/v1alpha1
kind: GitlabComment
metadata:
  name: comment-gl
  namespace: default
spec:
  gitlab:
    project: my-group/my-repo
    mergeRequestId: 1234
    tokenRef:
      secretName: git-credentials
      key: gitlab-token
  comment:
    source:
      configMap:
        name: my-configmap
        key: my-key

The comment will be updated whenever the underlying comment source changes.

Spec fields

suspend

If set to true, reconciliation of this comment is suspended.

gitlab

Specifies which Gitlab project and merge request to post the comment to.

gitlab.project

Specifies the user or organisation name where the repository is localed.

gitlab.repo

Specifies the repository name to query PRs for.

gitlab.tokenRef

In case of private repositories, this field can be used to specify a secret that contains a Gitlab API token.

github.pullRequestId

Specifies the ID of the pull request.

comment

Same as in GithubComment

3.2.1.5 - ListGithubPullRequests

ListGithubPullRequests documentation

The ListGithubPullRequests API allows to query the GitHub API for a list of pull requests (PRs). These PRs can be filtered when needed. The resulting list of PRs is written into the status of the ListGithubPullRequests object.

The resulting PRs list inside the status can for example be used in ObjectTemplate to create objects based on pull requests.

Example

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGithubPullRequests
metadata:
  name: list-gh-prs
  namespace: default
spec:
  interval: 1m
  owner: podtato-head
  repo: podtato-head
  state: open
  base: main
  head: podtato-head:.*
  tokenRef:
    secretName: git-credentials
    key: github-token

The above example will regularly (1m interval) query the GitHub API for PRs inside the podtato-head repository. It will filter for open PRs and for PRs against the main branch.

Spec fields

interval

Specifies the interval in which to query the GitHub API. Defaults to 5m.

owner

Specifies the user or organisation name where the repository is localed.

repo

Specifies the repository name to query PRs for.

tokenRef

In case of private repositories, this field can be used to specify a secret that contains a GitHub API token.

head

Specifies the head to filter PRs for. The format must be user:ref-name / organization:ref-name. The head field can also contain regular expressions.

base

Specifies the base branch to filter PRs for. The base field can also contain regular expressions.

labels

Specifies a list of labels to filter PRs for.

state

Specifies the PR state to filter for. Can either be open, closed or all. Default to all.

limit

Limits the number of results to accept. This is a safeguard for repositories with hundreds/thousands of PRs. It defaults to 100.

Resulting status

The query result is written into the status.pullRequests field of the ListGithubPullRequests object. Each entry represents a reduced version of the GitHub Pulls API results. The result is reduced in verbosity to avoid overloading the Kubernetes apiserver. Reduction means that all fields containing user, repo, orga and label fields are reduced to id, name, login, owner and full_name.

Please note that the resulting PR objects do not follow the typical camel case notion found in CRDs, as these represent a copy of GitHub API objects.

Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGithubPullRequests
metadata:
  name: list-gh-prs
  namespace: default
spec:
  ...
status:
  conditions:
  - lastTransitionTime: "2022-11-07T14:55:36Z"
    message: Success
    observedGeneration: 3
    reason: Success
    status: "True"
    type: Ready
  pullRequests:
  - base:
      label: podtato-head:main
      ref: main
      repo:
        full_name: podtato-head/podtato-head
        name: podtato-head
      sha: de7e66af16d41b0ef83de9a0b3be6f5cf0caf942
    body: "..."
    created_at: "2022-02-02T23:06:28Z"
    head:
      label: vivek:issue-79_implement_ms_ketch
      ref: issue-79_implement_ms_ketch
      repo:
        full_name: vivek/podtato-head
        name: podtato-head
      sha: 6379b4c8f413dae70daa03a5a13de4267486fd59
    number: 151
    state: open
    title: '...'
    updated_at: "2022-02-04T03:53:03Z"

3.2.1.6 - TextTemplate

TextTemplate documentation

GithubComment

The TextTemplate API allows to define text templates that are rendered into the status of the TextTemplate. The result can for example be used in GitlabComment/GithubComment.

Example

For the below example to work, you will also have to deploy the RBAC resources documented in ObjectTemplate .

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-configmap
  namespace: default
data:
  mykey: input-value
---
apiVersion: templates.kluctl.io/v1alpha1
kind: TextTemplate
metadata:
  name: example
  namespace: default
spec:
  serviceAccountName: example-template-service-account
  inputs:
    - name: input1
      object:
        ref:
          apiVersion: v1
          kind: ConfigMap
          name: my-configmap
  template: |
        This template text can use variables from the inputs defined above, for example this: {{ inputs.input1.data.mykey }}.

The above example will render the given template text and write it into the result of the object:

apiVersion: templates.kluctl.io/v1alpha1
kind: TextTemplate
...
status:
  conditions:
  - lastTransitionTime: "2023-01-16T11:24:15Z"
    message: Success
    observedGeneration: 2
    reason: Success
    status: "True"
    type: Ready
  result: 'This template text can use variables from the inputs defined above, for example this: input-value.'

Spec fields

suspend

If set to true, reconciliation of this TextTemplate is suspended.

serviceAccountName

The service account to use while retrieving template inputs. See the ObjectTemplate documentation for details.

inputs

List of template inputs which are then available while rendering the text template. At the moment, only Kubernetes objects are supported as inputs, but other types of inputs might be supported in the future.

Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: TextTemplate
metadata:
  name: example
  namespace: default
spec:
  serviceAccountName: example-template-service-account
  inputs:
    - name: input1
      object:
        ref:
          apiVersion: v1
          kind: ConfigMap
          name: my-configmap
          namespace: default
        jsonPath: data
  template: |
        This template text can use variables from the inputs defined above, for example this: {{ inputs.input1.mykey }}.

inputs.name

Specifies the name of the input, which is then used to refer to the input inside the text template.

inputs.object

Specifies the object to load as input. The specified service account must have proper permissions to access this object.

template

Specifies the raw template text to be rendered in the reconciliation loop. While rendering, each input is available via the global inputs variable and the specified name of the input, e.g. `{{ inputs.my_input.sub_field }}.

See templating for more details on the templating engine.

templateRef

Specifies another object to load the template text from. Currently only ConfigMaps are supported.

templateRef.configMap:

Specifies a ConfigMap to load the template from.

Example:

apiVersion: v1
kind: ConfigMap
metadata:
  name: my-configmap
  namespace: default
data:
  mykey: input-value
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: my-template
  namespace: default
data:
  template: |
        This template text can use variables from the inputs defined above, for example this: {{ inputs.input1.data.mykey }}.
---
apiVersion: templates.kluctl.io/v1alpha1
kind: TextTemplate
metadata:
  name: example
  namespace: default
spec:
  serviceAccountName: example-template-service-account
  inputs:
    - name: input1
      object:
        ref:
          apiVersion: v1
          kind: ConfigMap
          name: my-configmap
  templateRef:
    configMap:
      name: my-template
      key: template

Resulting status

The resulting rendered template is written into the status and can then be used by other objects, e.g. GitlabComment/GithubComment.

Example:

...
status:
  conditions:
    - lastTransitionTime: "2023-01-16T11:24:15Z"
      message: Success
      observedGeneration: 3
      reason: Success
      status: "True"
      type: Ready
  result: 'This template text can use variables from the inputs defined above,
    for example this: input-value.'

3.2.1.7 - ListGitlabMergeRequests

ListGitlabMergeRequests documentation

The ListGitlabMergeRequests API allows to query the Gitlab API for a list of merge requests (MRs). These MRs can be filtered when needed. The resulting list of MRs is written into the status of the ListGitlabMergeRequests object.

The resulting MRs list inside the status can for example be used in ObjectTemplate to create objects based on pull requests.

Example

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGitlabMergeRequests
metadata:
  name: list-gl-mrs
  namespace: default
spec:
  interval: 1m
  project: my-group/my-repo
  state: opened
  targetBranch: main
  sourceBranch: prefix-.*
  tokenRef:
    secretName: git-credentials
    key: gitlab-token

The above example will regularly (1m interval) query the Gitlab API for MRs inside the my-group/my-repo project. It will filter for open MRs and for MRs against the main branch.

Spec fields

interval

Specifies the interval in which to query the GitHub API. Defaults to 5m.

project

Specifies the Gitlab project to query MRs for. Must be in the format group/project, where group can also contain subgroups (e.g. group1/group2/project).

tokenRef

In case of private repositories, this field can be used to specify a secret that contains a Gitlab API token.

targetBranch

Specifies the target branch to filter MRs for. The targetBranch field can also contain regular expressions.

sourceBranch

Specifies the source branch to filter MRs for. The sourceBranch field can also contain regular expressions.

labels

Specifies a list of labels to filter MRs for.

state

Specifies the PR state to filter for. Can either be opened, closed, locked, merged or all. Default to all.

limit

Limits the number of results to accept. This is a safeguard for repositories with hundreds/thousands of MRs. It defaults to 100.

Resulting status

The query result is written into the status.mergeRequests field of the ListGitlabMergeRequests object. The list is identical to what is documented in the Gitlab Merge requests API .

Please note that the resulting PR objects do not follow the typical camel case notion found in CRDs, as these represent a copy of Gitlab API objects.

Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGitlabMergeRequests
metadata:
  name: list-gl-mrs
  namespace: default
spec:
  ...
status:
  conditions:
  - lastTransitionTime: "2022-11-07T14:55:36Z"
    message: Success
    observedGeneration: 3
    reason: Success
    status: "True"
    type: Ready
  mergeRequests:
  - id: 1
    iid: 1
    project_id: 3
    title: test1
    description: fixed login page css paddings
    state: merged
    merged_by:
      id: 87854
      name: Douwe Maan
      username: DouweM
      state: active
      avatar_url: 'https://gitlab.example.com/uploads/-/system/user/avatar/87854/avatar.png'
      web_url: 'https://gitlab.com/DouweM'
    merge_user:
      id: 87854
      name: Douwe Maan
      username: DouweM
      state: active
      avatar_url: 'https://gitlab.example.com/uploads/-/system/user/avatar/87854/avatar.png'
      web_url: 'https://gitlab.com/DouweM'
    merged_at: '2018-09-07T11:16:17.520Z'
    closed_by: null
    closed_at: null
    created_at: '2017-04-29T08:46:00Z'
    updated_at: '2017-04-29T08:46:00Z'
    target_branch: master
    source_branch: test1
    upvotes: 0
    downvotes: 0
    author:
      id: 1
      name: Administrator
      username: admin
      state: active
      avatar_url: null
      web_url: 'https://gitlab.example.com/admin'
    assignee:
      id: 1
      name: Administrator
      username: admin
      state: active
      avatar_url: null
      web_url: 'https://gitlab.example.com/admin'
    assignees:
      - name: Miss Monserrate Beier
        username: axel.block
        id: 12
        state: active
        avatar_url: >-
                    http://www.gravatar.com/avatar/46f6f7dc858ada7be1853f7fb96e81da?s=80&d=identicon
        web_url: 'https://gitlab.example.com/axel.block'
    reviewers:
      - id: 2
        name: Sam Bauch
        username: kenyatta_oconnell
        state: active
        avatar_url: >-
                    https://www.gravatar.com/avatar/956c92487c6f6f7616b536927e22c9a0?s=80&d=identicon
        web_url: 'http://gitlab.example.com//kenyatta_oconnell'
    source_project_id: 2
    target_project_id: 3
    labels:
      - Community contribution
      - Manage
    draft: false
    work_in_progress: false
    milestone:
      id: 5
      iid: 1
      project_id: 3
      title: v2.0
      description: Assumenda aut placeat expedita exercitationem labore sunt enim earum.
      state: closed
      created_at: '2015-02-02T19:49:26.013Z'
      updated_at: '2015-02-02T19:49:26.013Z'
      due_date: '2018-09-22'
      start_date: '2018-08-08'
      web_url: 'https://gitlab.example.com/my-group/my-project/milestones/1'
    merge_when_pipeline_succeeds: true
    merge_status: can_be_merged
    detailed_merge_status: not_open
    sha: '8888888888888888888888888888888888888888'
    merge_commit_sha: null
    squash_commit_sha: null
    user_notes_count: 1
    discussion_locked: null
    should_remove_source_branch: true
    force_remove_source_branch: false
    allow_collaboration: false
    allow_maintainer_to_push: false
    web_url: 'http://gitlab.example.com/my-group/my-project/merge_requests/1'
    references:
      short: '!1'
      relative: my-group/my-project!1
      full: my-group/my-project!1
    time_stats:
      time_estimate: 0
      total_time_spent: 0
      human_time_estimate: null
      human_total_time_spent: null
    squash: false
    task_completion_status:
      count: 0
      completed_count: 0

3.3 - Security

Security documentation.

The Template Controller is a powerful controller that is able to create/apply arbitrary objects from templates and an input matrix. This has some security implications as it requires you to make sure that you don’t open potential security vulnerabilities inside your cluster.

This means, you must make sure that your ObjectTemplate objects are either not dependent on external inputs (which might contain malicious input) or tha the used service account is restricted enough to not allow malicious modifications to the cluster.

cluster-admin role

Especially watch out when using the cluster-admin (or comparable) role. It can easily lead to privilege escalation if templates and inputs are too dynamic.

3.4 - Templating

Templating documentation.

The Template Controller reuses the Jinja2 templating engine of Kluctl .

Documentation is available here .

3.5 - Use Case: Dynamic environments for Pull Requests

Use Case: Dynamic environments for Pull Requests

This use case was the initial and first use case why the Template Controller was created. You can use ListGithubPullRequests to query the GitHub API for a list of pull requests on a GitHub Repo and then use the result inside a ObjectTemplate to generate GitOps environments for new pull requests.

Flux

This example will create templated Kustomization objects. The means, that you should first install Flux on your cluster. The dev install variant should be sufficient.

podtato-head as example

This example uses the podtato-head demo project to demonstrate the Template Controller. You must fork the repository and replace all occurrences of podtato-head as owner with your own username. It is not recommended to blindly use the public repository as you this will lead to unverified and potentially dangerous environments being deployed into your cluster!

GitHub credentials

In case you want to listen for PRs from a private repository (e.g. because you’ve forked podtato-head), you’ll need to store a GitHub personal access token inside a Kubernetes Secret.

apiVersion: v1
kind: Secret
metadata:
  name: git-credentials
  namespace: default
stringData:
  github-token: "<your-github-token>"

WARNING: Of course, in a real setup you would NOT store the plain token inside a manifest, but instead use Sealed Secrets or SOPS .

A dedicated ServiceAccount

The Template Controller uses service accounts to query matrix inputs and apply rendered objects. These service accounts determine what the template can access and what not. In this example, we’ll create a service account with the cluster-admin role, which you should NOT do in production. Instead, define your own Role or ClusterRole and attach it to the service account. This role should have read/write access to all objects references in the matrix and the rendered objects.

apiVersion: v1
kind: ServiceAccount
metadata:
  name: podtato-head-envs-objecttemplate
  namespace: default
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: podtato-head-envs-objecttemplate
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  # WARNING, this is only for demo purposes. You should use a more restricted role for the ObjectTemplate
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: podtato-head-envs-objecttemplate
    namespace: default

The above serviceAccount is then later referenced inside the ObjectTemplate object.

Listing GitHub pull requests

Listing pull requests from a GitHub repository can be done through the ListGithubPullRequests CRD. It specifies the GitHub repository to use and some filter options.

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGithubPullRequests
metadata:
  name: list-gh-prs
  namespace: default
spec:
  interval: 1m
  # Replace the owner with your username in case you forked podtato-head
  owner: podtato-head
  repo: podtato-head
  # Ignore closed PRs
  state: open
  # Only PR's that go against the main branch
  base: main
  # Replace `podtato-head` with your username. This will only allows heads from your own fork!
  # Otherwise, you risk deploying unsafe environments into your cluster!
  head: podtato-head:.*
  tokenRef:
    secretName: git-credentials
    key: github-token

After applying this resource, the Template Controller will start to query the GitHub API for matching pull requests and then store the results inside the status of the ListGithubPullRequests CR. Example:

apiVersion: templates.kluctl.io/v1alpha1
kind: ListGithubPullRequests
metadata:
  name: list-gh-prs
  namespace: default
spec:
  ...
status:
  conditions:
  - lastTransitionTime: "2022-11-07T14:55:36Z"
    message: Success
    observedGeneration: 3
    reason: Success
    status: "True"
    type: Ready
  # The pullRequests list contains much more detailed info, but to keep it short I've reduced verbosity here
  pullRequests:
  - base:
      label: podtato-head:main
      ref: main
      repo:
        full_name: podtato-head/podtato-head
        name: podtato-head
      sha: de7e66af16d41b0ef83de9a0b3be6f5cf0caf942
    body: "..."
    created_at: "2022-02-02T23:06:28Z"
    head:
      label: vivek:issue-79_implement_ms_ketch
      ref: issue-79_implement_ms_ketch
      repo:
        full_name: vivek/podtato-head
        name: podtato-head
      sha: 6379b4c8f413dae70daa03a5a13de4267486fd59
    number: 151
    state: open
    title: '...'
    updated_at: "2022-02-04T03:53:03Z"

The ObjectTemplate

The pullRequests field from the above status can then be used as an input into the an ObjectTemplate .

apiVersion: templates.kluctl.io/v1alpha1
kind: ObjectTemplate
metadata:
  name: pr-envs
  namespace: default
spec:
  serviceAccountName: podtato-head-envs-objecttemplate
  # This causes removal of templated objects in case they disappear from the rendered list of objects
  prune: true
  matrix:
    - name: pr
      object:
        ref:
          apiVersion: templates.kluctl.io/v1alpha1
          kind: ListGithubPullRequests
          name: list-gh-prs
        jsonPath: status.pullRequests
        expandLists: true
  templates:
    - object:
        apiVersion: v1
        kind: Namespace
        metadata:
          # Give each one its own namespace
          name: "podtato-head-{{ matrix.pr.head.label | slugify }}"
    - object:
        apiVersion: source.toolkit.fluxcd.io/v1beta2
        kind: GitRepository
        metadata:
          # The pullRequests status field from the ListGithubPullRequests is a reduced form of the REST API result
          # of https://docs.github.com/en/rest/pulls/pulls#list-pull-requests, meaning that fields like `head` and `base`
          # are also available.
          name: "podtato-head-{{ matrix.pr.head.label | slugify }}"
          namespace: default
        spec:
          interval: 5m
          url: "https://github.com/{{ matrix.pr.head.repo.full_name }}.git"
          ref:
            branch: "{{ matrix.pr.head.ref }}"
    - object:
        apiVersion: kustomize.toolkit.fluxcd.io/v1beta2
        kind: Kustomization
        metadata:
          name: "podtato-head-env-{{ matrix.pr.head.label | slugify }}"
          namespace: default
        spec:
          interval: 10m
          targetNamespace: "podtato-head-{{ matrix.pr.head.label | slugify }}"
          sourceRef:
            kind: GitRepository
            # refers to the same GitRepository created above
            name: "podtato-head-{{ matrix.pr.head.label | slugify }}"
          path: "./delivery/kustomize/base"
          prune: true

The above ObjectTemplate will create 3 objects per pull request:

A namespace with the name podtato-head-{{ matrix.pr.head.label | slugify }}. Please note the use of Jinja2 templating. Details about what can be done can be found in the ObjectTemplate documentation.
A Flux GitRepository that points to repository and branch of the current pull request.
A Flux Kustomization that is deployed into the above namespace.

3.6 - Use Case: Transformation of Secrets/Objects

Use Case: Transformation of Secrets/Objects

There are cases where an object can not be created before another object is created by some other component inside the cluster, meaning that you have no control over the input object.

A simple example is the Zalando Postgres Operator , which allows you to create a Postgres database with a Custom Resource. Inside the CR, you can define databases and users to be auto-created. When the operator creates these databases and users, it also auto-creates Kubernetes secrets with the credentials allowing you to access the databases.

These secrets can however not be used directly when connecting to the databases, as you’d usually have to build some connection urls (e.g. JDBC urls). Usually, one would create some kind of init script or something like that to build this url and then pass it to the application that wants to use it.

The Template Controller allows an alternative solution.

Using ObjectTemplate to transform secrets

Let’s assume you have a sample Postgres database deployed via the Zalando Postgres Operator. The operator has also created the following secret:

apiVersion: v1
kind: Secret
type: Opaque
metadata:
  name: foo-user.acid-minimal-cluster.credentials.postgresql.acid.zalan.do
  namespace: default
data:
  password: aHNiSVF6MFJJa0hTd2ZxS1NiTG5YV3dUQUVqcUtTNFpvU2dyOXp4b3pzMmJvTE02WWl0eTE0YjJTZlNFTHExdw==
  username: Zm9vX3VzZXI=

Based on that secret, you’d like to create a new secret with the JDBC url generated.

RBAC

The ObjectTemplate requires a service account with proper access rights for the involved secrets:

apiVersion: v1
kind: ServiceAccount
metadata:
  name: postgres-secret-transformer
  namespace: default
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: postgres-secret-transformer
  namespace: default
rules:
  - apiGroups: [""]
    resources: ["secrets"]
    # give the ObjectTemplate access to the two involved secrets
    resourceNames: ["zalando.acid-minimal-cluster.credentials.postgresql.acid.zalan.do", "transformed-postgres-secret"]
    verbs: ["*"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: postgres-secret-transformer
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: postgres-secret-transformer
subjects:
  - kind: ServiceAccount
    name: postgres-secret-transformer
    namespace: default

ObjectTemplate

Use the following ObjectTemplate to perform the transformation:

apiVersion: templates.kluctl.io/v1alpha1
kind: ObjectTemplate
metadata:
  name: postgres-secret-transformer
  namespace: default
spec:
  serviceAccountName: postgres-secret-transformer
  prune: true
  matrix:
    - name: secret
      object:
        ref:
          apiVersion: v1
          kind: Secret
          name: zalando.acid-minimal-cluster.credentials.postgresql.acid.zalan.do
  templates:
  - object:
      apiVersion: v1
      kind: Secret
      metadata:
        name: "transformed-postgres-secret"
      stringData:
        jdbc_url: "jdbc:postgresql://acid-minimal-cluster/zalando?user={{ matrix.secret.data.username | b64decode }}&password={{ matrix.secret.data.password | b64decode }}"
        # sometimes the key names inside a secret are not what another component requires, so we can simply use different names if we want
        username_with_different_key: "{{ matrix.secret.data.username | b64decode }}"
        password_with_different_key: "{{ matrix.secret.data.password | b64decode }}"

This will lead to the following transformed-postgres-secret

apiVersion: v1
kind: Secret
metadata:
  name: transformed-postgres-secret
  namespace: default
type: Opaque
data:
  jdbc_url: amRiYzpwb3N0Z3Jlc3FsOi8vaG9zdC9kYXRhYmFzZT91c2VyPWZvb191c2VyJnBhc3N3b3JkPWJVUU52Zkd4amduQUdiaEhOWkZkamtwZFFYbnk1aDdXNGlFU1YyWUxVNnVrRHdXWjBPMjdRb0NBdUJTTnF3TVk=
  password_with_different_key: YlVRTnZmR3hqZ25BR2JoSE5aRmRqa3BkUVhueTVoN1c0aUVTVjJZTFU2dWtEd1daME8yN1FvQ0F1QlNOcXdNWQ==
  username_with_different_key: Zm9vX3VzZXI=

Base64 decoding the secret data will show:

jdbc_url: jdbc:postgresql://host/database?user=foo_user&password=bUQNvfGxjgnAGbhHNZFdjkpdQXny5h7W4iESV2YLU6ukDwWZ0O27QoCAuBSNqwMY                                                                                                                                                                                      │
password_with_different_key: bUQNvfGxjgnAGbhHNZFdjkpdQXny5h7W4iESV2YLU6ukDwWZ0O27QoCAuBSNqwMY                                                                                                                                                                                                                          │
username_with_different_key: foo_user

3.7 - Template Controller API reference

Template Controller API reference

Packages:

templates.kluctl.io/v1alpha1

templates.kluctl.io/v1alpha1

Package v1alpha1 contains API Schema definitions for the templates.kluctl.io v1alpha1 API group.

Resource Types:

AppliedResourceInfo

(Appears on: ObjectTemplateStatus)

Field	Description
`ref` ObjectRef
`success` bool
`error` string	(Optional)

CommentSourceSpec

(Appears on: CommentSpec)

Field	Description
`text` string	(Optional) Text specifies a raw text comment.
`configMap` ConfigMapRef	(Optional) ConfigMap specifies a ConfigMap and a key to load the source content from
`textTemplate` LocalObjectReference	(Optional) TextTemplate specifies a TextTemplate to load the source content from

CommentSpec

(Appears on: GithubCommentSpec, GitlabCommentSpec)

Field	Description
`id` string	(Optional) Id specifies the identifier to be used by the controller when it needs to find the actual comment when it does not know the internal id. This Id is written into the comment inside a comment, so that a simple text search can reveal the comment
`source` CommentSourceSpec	Source specifies the source content for the comment. Different source types are supported: Text, ConfigMap and TextTemplate

ConfigMapRef

(Appears on: CommentSourceSpec)

Field	Description
`name` string
`key` string

GitFile

(Appears on: GitProjectorSpec)

Field	Description
`glob` string	Glob specifies a glob to use for filename matching.
`parseYaml` bool	(Optional) ParseYaml enables YAML parsing of matching files. The result is then available as `parsed` in the result for the corresponding result file

GitProjector

GitProjector is the Schema for the gitprojectors API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
GitProjectorSpec

`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to scan the Git repository Defaults to 5m.
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object
`url` string	URL specifies the Git url to scan and project
`ref` GitRef	(Optional) Reference specifies the Git branch, tag or commit to scan. Branches and tags can contain regular expressions
`files` []GitFile	(Optional) Files specifies the list of files to include in the projection
`secretRef` LocalObjectReference	(Optional) SecretRefs specifies a Secret use for Git authentication. The contents of the secret must conform to: https://kluctl.io/docs/flux/spec/v1alpha1/kluctldeployment/#git-authentication

status
GitProjectorStatus

GitProjectorResult

(Appears on: GitProjectorStatus)

Field	Description
`ref` GitRef
`files` []GitProjectorResultFile

GitProjectorResultFile

(Appears on: GitProjectorResult)

Field	Description
`path` string
`raw` string	(Optional)
`parsed` []k8s.io/apimachinery/pkg/runtime.RawExtension*	(Optional)

GitProjectorSpec

(Appears on: GitProjector)

GitProjectorSpec defines the desired state of GitProjector

Field	Description
`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to scan the Git repository Defaults to 5m.
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object
`url` string	URL specifies the Git url to scan and project
`ref` GitRef	(Optional) Reference specifies the Git branch, tag or commit to scan. Branches and tags can contain regular expressions
`files` []GitFile	(Optional) Files specifies the list of files to include in the projection
`secretRef` LocalObjectReference	(Optional) SecretRefs specifies a Secret use for Git authentication. The contents of the secret must conform to: https://kluctl.io/docs/flux/spec/v1alpha1/kluctldeployment/#git-authentication

GitProjectorStatus

(Appears on: GitProjector)

GitProjectorStatus defines the observed state of GitProjector

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`allRefsHash` string	(Optional)
`result` []GitProjectorResult	(Optional)

GitRef

(Appears on: GitProjectorResult, GitProjectorSpec)

Field	Description
`branch` string	(Optional) Branch to filter for. Can also be a regex.
`tag` string	(Optional) Tag to filter for. Can also be a regex.
`commit` string	(Optional) Commit SHA to check out, takes precedence over all reference fields.

GithubComment

GithubComment is the Schema for the githubcomments API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
GithubCommentSpec

`github` GithubPullRequestRef
`comment` CommentSpec
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object

status
GithubCommentStatus

GithubCommentSpec

(Appears on: GithubComment)

GithubCommentSpec defines the desired state of GithubComment

Field	Description
`github` GithubPullRequestRef
`comment` CommentSpec
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object

GithubCommentStatus

(Appears on: GithubComment)

GithubCommentStatus defines the observed state of GithubComment

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`commentId` string	(Optional)
`lastPostedBodyHash` string	(Optional)

GithubProject

(Appears on: GithubPullRequestRef, ListGithubPullRequestsSpec)

Field	Description
`owner` string	Owner specifies the GitHub user or organisation that owns the repository
`repo` string	Repo specifies the repository name.
`tokenRef` SecretRef	(Optional) TokenRef specifies a secret and key to load the GitHub API token from

GithubPullRequestRef

(Appears on: GithubCommentSpec, PullRequestRefHolder)

Field	Description
`GithubProject` GithubProject	(Members of `GithubProject` are embedded into this type.)
`pullRequestId` int	PullRequestId specifies the pull request ID.

GitlabComment

GitlabComment is the Schema for the gitlabcomments API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
GitlabCommentSpec

`gitlab` GitlabMergeRequestRef
`comment` CommentSpec
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object

status
GitlabCommentStatus

GitlabCommentSpec

(Appears on: GitlabComment)

GitlabCommentSpec defines the desired state of GitlabComment

Field	Description
`gitlab` GitlabMergeRequestRef
`comment` CommentSpec
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object

GitlabCommentStatus

(Appears on: GitlabComment)

GitlabCommentStatus defines the observed state of GitlabComment

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`noteId` string	(Optional)
`lastPostedBodyHash` string	(Optional)

GitlabMergeRequestRef

(Appears on: GitlabCommentSpec, PullRequestRefHolder)

Field	Description
`GitlabProject` GitlabProject	(Members of `GitlabProject` are embedded into this type.)
`mergeRequestId` int	MergeRequestId specifies the Gitlab merge request internal ID

GitlabProject

(Appears on: GitlabMergeRequestRef, ListGitlabMergeRequestsSpec)

Field	Description
`project` string	Project specifies the Gitlab group and project (separated by slash) to use
`api` string	(Optional) API specifies the GitLab API URL to talk to. If blank, uses https://gitlab.com/.
`tokenRef` SecretRef	(Optional) TokenRef specifies a secret and key to load the Gitlab API token from

Handler

(Appears on: ObjectHandlerSpec)

Field	Description
`pullRequestComment` PullRequestCommentReporter	(Optional)
`pullRequestApprove` PullRequestApproveReporter	(Optional)
`pullRequestCommand` PullRequestCommandHandler	(Optional)

HandlerStatus

Field	Description
`key` string
`error` string	(Optional)
`pullRequestComment` PullRequestCommentReporterStatus	(Optional)
`pullRequestApprove` PullRequestApproveReporterStatus	(Optional)
`pullRequestCommand` PullRequestCommandHandlerStatus	(Optional)

ListGithubPullRequests

ListGithubPullRequests is the Schema for the listgithubpullrequests API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
ListGithubPullRequestsSpec

`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to query the Gitlab API. Defaults to 5m.
`GithubProject` GithubProject	(Members of `GithubProject` are embedded into this type.)
`head` string	(Optional) Head specifies the head to filter for
`base` string	(Optional) Base specifies the base to filter for
`labels` []string	(Optional) Labels is used to filter the PRs that you want to target
`state` string	(Optional) State is an additional PR filter to get only those with a certain state. Default: “all”
`limit` int	Limit limits the maximum number of pull requests to fetch. Defaults to 100

status
ListGithubPullRequestsStatus

ListGithubPullRequestsSpec

(Appears on: ListGithubPullRequests)

ListGithubPullRequestsSpec defines the desired state of ListGithubPullRequests

Field	Description
`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to query the Gitlab API. Defaults to 5m.
`GithubProject` GithubProject	(Members of `GithubProject` are embedded into this type.)
`head` string	(Optional) Head specifies the head to filter for
`base` string	(Optional) Base specifies the base to filter for
`labels` []string	(Optional) Labels is used to filter the PRs that you want to target
`state` string	(Optional) State is an additional PR filter to get only those with a certain state. Default: “all”
`limit` int	Limit limits the maximum number of pull requests to fetch. Defaults to 100

ListGithubPullRequestsStatus

(Appears on: ListGithubPullRequests)

ListGithubPullRequestsStatus defines the observed state of ListGithubPullRequests

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`pullRequests` []k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional)

ListGitlabMergeRequests

ListGitlabMergeRequests is the Schema for the listgitlabmergerequests API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
ListGitlabMergeRequestsSpec

`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to query the Gitlab API. Defaults to 5m.
`GitlabProject` GitlabProject	(Members of `GitlabProject` are embedded into this type.)
`targetBranch` string	(Optional) TargetBranch specifies the target branch to filter for
`sourceBranch` string	(Optional)
`labels` []string	(Optional) Labels is used to filter the MRs that you want to target
`state` string	(Optional) State is an additional MRs filter to get only those with a certain state. Default: “all”
`limit` int	Limit limits the maximum number of merge requests to fetch. Defaults to 100

status
ListGitlabMergeRequestsStatus

ListGitlabMergeRequestsSpec

(Appears on: ListGitlabMergeRequests)

ListGitlabMergeRequestsSpec defines the desired state of ListGitlabMergeRequests

Field	Description
`interval` Kubernetes meta/v1.Duration	(Optional) Interval is the interval at which to query the Gitlab API. Defaults to 5m.
`GitlabProject` GitlabProject	(Members of `GitlabProject` are embedded into this type.)
`targetBranch` string	(Optional) TargetBranch specifies the target branch to filter for
`sourceBranch` string	(Optional)
`labels` []string	(Optional) Labels is used to filter the MRs that you want to target
`state` string	(Optional) State is an additional MRs filter to get only those with a certain state. Default: “all”
`limit` int	Limit limits the maximum number of merge requests to fetch. Defaults to 100

ListGitlabMergeRequestsStatus

(Appears on: ListGitlabMergeRequests)

ListGitlabMergeRequestsStatus defines the observed state of ListGitlabMergeRequests

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`mergeRequests` []k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional)

LocalObjectReference

(Appears on: CommentSourceSpec, GitProjectorSpec)

Field	Description
`name` string	Name of the referent.

MatrixEntry

Field	Description
`name` string	Name specifies the name this matrix input is available while rendering templates
`object` MatrixEntryObject	(Optional) Object specifies an object to load and make available while rendering templates. The object can be accessed through the name specified above. The service account used by the ObjectTemplate must have proper permissions to get this object
`list` []k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional) List specifies a list of plain YAML values which are made available while rendering templates. The list can be accessed through the name specified above

MatrixEntryObject

(Appears on: MatrixEntry)

Field	Description
`ref` ObjectRef	Ref specifies the apiVersion, kind, namespace and name of the object to load. The service account used by the ObjectTemplate must have proper permissions to get this object
`jsonPath` string	(Optional) JsonPath optionally specifies a sub-field to load. When specified, the sub-field (and not the whole object) is made available while rendering templates
`expandLists` bool	(Optional) ExpandLists enables optional expanding of list. Expanding means, that each list entry is interpreted as individual matrix input instead of interpreting the whole list as one matrix input. This feature is only useful when used in combination with `jsonPath`

ObjectHandler

ObjectHandler is the Schema for the objecthandlers API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
ObjectHandlerSpec

`interval` Kubernetes meta/v1.Duration
`forObject` ObjectRef
`handlers` []Handler

status
ObjectHandlerStatus

ObjectHandlerSpec

(Appears on: ObjectHandler)

ObjectHandlerSpec defines the desired state of ObjectHandler

Field	Description
`interval` Kubernetes meta/v1.Duration
`forObject` ObjectRef
`handlers` []Handler

ObjectHandlerStatus

(Appears on: ObjectHandler)

ObjectHandlerStatus defines the observed state of ObjectHandler

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`handlerStatus` []github.com/kluctl/template-controller/api/v1alpha1.HandlerStatus*	(Optional)

ObjectRef

(Appears on: AppliedResourceInfo, MatrixEntryObject, ObjectHandlerSpec, TextTemplateInputObject)

Field	Description
`apiVersion` string
`kind` string
`namespace` string	(Optional)
`name` string

ObjectTemplate

ObjectTemplate is the Schema for the objecttemplates API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
ObjectTemplateSpec

`interval` Kubernetes meta/v1.Duration
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object
`serviceAccountName` string	(Optional) ServiceAccountName specifies the name of the Kubernetes service account to impersonate when reconciling this ObjectTemplate. If omitted, the “default” service account is used
`prune` bool	(Optional) Prune enables pruning of previously created objects when these disappear from the list of rendered objects
`matrix` []github.com/kluctl/template-controller/api/v1alpha1.MatrixEntry*	Matrix specifies the input matrix
`templates` []Template	Templates specifies a list of templates to render and deploy

status
ObjectTemplateStatus

ObjectTemplateSpec

(Appears on: ObjectTemplate)

ObjectTemplateSpec defines the desired state of ObjectTemplate

Field	Description
`interval` Kubernetes meta/v1.Duration
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object
`serviceAccountName` string	(Optional) ServiceAccountName specifies the name of the Kubernetes service account to impersonate when reconciling this ObjectTemplate. If omitted, the “default” service account is used
`prune` bool	(Optional) Prune enables pruning of previously created objects when these disappear from the list of rendered objects
`matrix` []github.com/kluctl/template-controller/api/v1alpha1.MatrixEntry*	Matrix specifies the input matrix
`templates` []Template	Templates specifies a list of templates to render and deploy

ObjectTemplateStatus

(Appears on: ObjectTemplate)

ObjectTemplateStatus defines the observed state of ObjectTemplate

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`appliedResources` []AppliedResourceInfo	(Optional)

PullRequestApproveReporter

(Appears on: Handler)

Field	Description
`PullRequestRefHolder` PullRequestRefHolder	(Members of `PullRequestRefHolder` are embedded into this type.)
`missingReadyConditionIsError` bool	(Optional)

PullRequestApproveReporterStatus

(Appears on: HandlerStatus)

Field	Description
`approved` bool	(Optional)

PullRequestCommandHandler

(Appears on: Handler)

Field	Description
`PullRequestRefHolder` PullRequestRefHolder	(Members of `PullRequestRefHolder` are embedded into this type.)
`postHelpComment` bool	(Optional)
`commands` []PullRequestCommandHandlerCommandSpec

PullRequestCommandHandlerActionAnnotateSpec

(Appears on: PullRequestCommandHandlerActionSpec)

Field	Description
`annotation` string
`value` string

PullRequestCommandHandlerActionSpec

(Appears on: PullRequestCommandHandlerCommandSpec)

Field	Description
`annotate` PullRequestCommandHandlerActionAnnotateSpec	(Optional)
`jsonPatch` []k8s.io/apimachinery/pkg/runtime.RawExtension	(Optional)

PullRequestCommandHandlerCommandSpec

(Appears on: PullRequestCommandHandler)

Field	Description
`name` string
`description` string	(Optional)
`actions` []PullRequestCommandHandlerActionSpec

PullRequestCommandHandlerStatus

(Appears on: HandlerStatus)

Field	Description
`lastProcessedCommentTime` string	(Optional)
`helpNoteId` string	(Optional)
`helpNoteBodyHash` string	(Optional)

PullRequestCommentReporter

(Appears on: Handler)

Field	Description
`PullRequestRefHolder` PullRequestRefHolder	(Members of `PullRequestRefHolder` are embedded into this type.)

PullRequestCommentReporterStatus

(Appears on: HandlerStatus)

Field	Description
`lastPostedStatusHash` string	(Optional)
`noteId` string	(Optional)

PullRequestRefHolder

(Appears on: PullRequestApproveReporter, PullRequestCommandHandler, PullRequestCommentReporter)

Field	Description
`gitlab` GitlabMergeRequestRef	(Optional)
`github` GithubPullRequestRef	(Optional)

SecretRef

(Appears on: GithubProject, GitlabProject)

Utility struct for a reference to a secret key.

Field	Description
`secretName` string
`key` string

Template

(Appears on: ObjectTemplateSpec)

Field	Description
`object` Kubernetes meta/v1/unstructured.Unstructured	(Optional) Object specifies a structured object in YAML form. Each field value is rendered independently.
`raw` string	(Optional) Raw specifies a raw string to be interpreted/parsed as YAML. The whole string is rendered in one go, allowing to use advanced Jinja2 control structures. Raw object might also be required when a templated value must not be interpreted as a string (which would be done in Object).

TemplateRef

(Appears on: TextTemplateSpec)

Field	Description
`configMap` TemplateRefConfigMap	(Optional)

TemplateRefConfigMap

(Appears on: TemplateRef)

Field	Description
`name` string
`namespace` string	(Optional)
`key` string

TextTemplate

TextTemplate is the Schema for the texttemplates API

Field Description

metadata
Kubernetes meta/v1.ObjectMeta Refer to the Kubernetes API documentation for the fields of the metadata field.

spec
TextTemplateSpec

`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object.
`serviceAccountName` string	(Optional) The name of the Kubernetes service account to impersonate when reconciling this TextTemplate. If omitted, the “default” service account is used.
`inputs` []github.com/kluctl/template-controller/api/v1alpha1.TextTemplateInput*	(Optional)
`template` string	(Optional)
`templateRef` TemplateRef	(Optional)

status
TextTemplateStatus

TextTemplateInput

Field	Description
`name` string
`object` TextTemplateInputObject	(Optional)

TextTemplateInputObject

(Appears on: TextTemplateInput)

Field	Description
`ref` ObjectRef
`jsonPath` string	(Optional)

TextTemplateSpec

(Appears on: TextTemplate)

TextTemplateSpec defines the desired state of TextTemplate

Field	Description
`suspend` bool	(Optional) Suspend can be used to suspend the reconciliation of this object.
`serviceAccountName` string	(Optional) The name of the Kubernetes service account to impersonate when reconciling this TextTemplate. If omitted, the “default” service account is used.
`inputs` []github.com/kluctl/template-controller/api/v1alpha1.TextTemplateInput*	(Optional)
`template` string	(Optional)
`templateRef` TemplateRef	(Optional)

TextTemplateStatus

(Appears on: TextTemplate)

TextTemplateStatus defines the observed state of TextTemplate

Field	Description
`conditions` []Kubernetes meta/v1.Condition	(Optional)
`result` string	(Optional)

This page was automatically generated with gen-crd-api-reference-docs

4 - Flux Kluctl Controller (deprecated)

Flux Kluctl Controller documentation.

⚠️The flux-kluctl-controller is deprecated⚠️

Please migrate to the new Kluctl Controller

The migration guide can be found here

The Flux Kluctl Controller is a Kubernetes operator, specialized in running continuous delivery pipelines for infrastructure defined with kluctl .

Motivation

⚠️The flux-kluctl-controller is deprecated⚠️

kluctl is a tool that allows you to declare and manage small, large, simple and/or complex multi-env and multi-cluster deployments. It is designed in a way that allows seamless co-existence of CLI centered DevOps and automation, for example in the form of GitOps/flux.

This means that you can continue doing local development of your deployments and test them from your local machine, for example by regularly running kluctl diff . When you believe you’re done with your work, you can then commit your changes to Git and let the Flux Kluctl Controller do the actual deployment.

You could also have a dedicated target that you solely use for local development and deployment testing and then let the Flux Kluctl Controller handle the deployments to the real (e.g. pre-prod or prod) targets.

This way you can have both:

Easy and reliable development and testing of your deployments (no more change+commit+push+wait+error+retry cycles).
Consistent GitOps style automation.

The Flux Kluctl Controller supports all types of Kluctl projects, including simple ones where a single Git repository contains all necessary data and complex ones where for example clusters or target configurations are in other Git repositories.

Installation

⚠️The flux-kluctl-controller is deprecated⚠️

Installation instructions can be found here

Design

⚠️The flux-kluctl-controller is deprecated⚠️

The reconciliation process can be defined with a Kubernetes custom resource that describes a pipeline such as:

fetch root kluctl project from source-controller (Git repository or S3 bucket)
deploy the specified target via kluctl deploy
prune orphaned objects via kluctl prune
validate the deployment status via kluctl validate
alert if something went wrong
notify if the cluster state changed

A pipeline runs on-a-schedule and ca be triggered manually by a cluster admin or automatically by a source event such as a Git revision change.

When a pipeline is removed from the cluster, the controller’s GC terminates all the objects previously created by that pipeline.

A pipeline can be suspended, while in suspension the controller stops the scheduler and ignores any source events. Deleting a suspended pipeline does not trigger garbage collection.

Alerting can be configured with a Kubernetes custom resource that specifies a webhook address, and a group of pipelines to be monitored.

The API design of the controller can be found at kluctldeployment.flux.kluctl.io/v1beta1 .

Example

⚠️The flux-kluctl-controller is deprecated⚠️

After installing flux-kluctl-controller, we can create a Kluctl deployment that automatically deploys the Microservices Demo .

Create a KluctlDeployment that uses the demo project source to deploy the test target to the same cluster that the controller runs on.

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: microservices-demo-test
  namespace: flux-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: test
  context: default
  prune: true

This example will deploy a fully-fledged microservices application with multiple backend services, frontends and databases, all via one single KluctlDeployment.

To deploy the same Kluctl project to another target (e.g. prod), simply create the following resource.

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
  namespace: flux-system
spec:
  interval: 10m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  prune: true

4.1 - Installation

Installation documentation

⚠️The flux-kluctl-controller is deprecated⚠️

Please migrate to the new Kluctl Controller

The migration guide can be found here

The Flux Kluctl Controller can currently be either installed via Kustomize or via Helm.

kustomize

You can install the Flux Kluctl Controller by running the following command:

kustomize build "https://github.com/kluctl/flux-kluctl-controller/config/install?ref=v0.16.3" | kubectl apply -f-

Helm

⚠️The flux-kluctl-controller is deprecated⚠️

New Helm Charts will not be released!

A Helm Chart for the controller is also available here . To install the controller via Helm, run:

$ helm repo add kluctl https://kluctl.github.io/charts
$ helm install flux-kluctl-controller kluctl/flux-kluctl-controller

4.2 - Metrics

OpenMetrics-compatible export of controller metrics

4.2.1 - v1alpha1 metrics

flux.kluctl.io/v1alpha1 metrics

Prometheus Metrics

kluctldeployment_controller

4.2.1.1 - Metrics of the KluctlDeployment Controller

KluctlDeployment documentation

Exported Metrics References

Metrics name	Type	Description
deployment_duration_seconds	Histogram	How long a single deployment takes in seconds.
number_of_changed_objects	Gauge	How many objects have been changed by a single deployment.
number_of_deleted_objects	Gauge	How many objects have been deleted by a single deployment.
number_of_errors	Gauge	How many errors are related to a single deployment.
number_of_images	Gauge	Number of images of a single deployment.
number_of_orphan_objects	Gauge	How many orphans are related to a single deployment.
number_of_warnings	Gauge	How many warnings are related to a single deployment.
prune_duration_seconds	Histogram	How long a single prune takes in seconds.
validate_duration_seconds	Histogram	How long a single validate takes in seconds.
deployment_interval_seconds	Gauge	The configured deployment interval of a single deployment.
dry_run_enabled	Gauge	Is dry-run enabled for a single deployment.
last_object_status	Gauge	Last object status of a single deployment. Zero means failure and one means success.
prune_enabled	Gauge	Is pruning enabled for a single deployment.
delete_enabled	Gauge	Is deletion enabled for a single deployment.
source_spec	Gauge	The configured source spec of a single deployment exported via labels.

4.3 - Specs

flux-kluctl-controller specs

4.3.1 - v1alpha1 specs

flux.kluctl.io/v1alpha1 documentation

flux.kluctl.io/v1alpha1

This is the v1alpha1 API specification for defining continuous delivery pipelines of Kluctl Deployments.

Specification

KluctlDeployment CRD

Implementation

flux-kluctl-controller

4.3.1.1 - KluctlDeployment

KluctlDeployment documentation

The KluctlDeployment API defines a deployment of a target from a Kluctl Project .

Example

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  prune: true
  delete: true

In the above example a KluctlDeployment is being created that defines the deployment based on the Kluctl project.

The deployment is performed every 5 minutes. It will deploy the prod target and then prune orphaned objects afterwards.

When the KluctlDeployment gets deleted, delete: true will cause the controller to actually delete the target resources.

It uses the default context provided by the default service account and thus overrides the context specified in the target definition.

Spec fields

source

The KluctlDeployment spec.source specifies the source repository to be used. Example:

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: example
spec:
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: path/to/project
    secretRef:
      name: git-credentials
    ref:
      branch: my-branch
  ...

The url specifies the git clone url. It can either be a https or a git/ssh url. Git/Ssh url will require a secret to be provided with credentials.

The path specifies the sub-directory where the Kluctl project is located.

The ref provides the Git reference to be used. It can either be a branch or a tag.

See Git authentication for details on authentication.

interval

See Reconciliation .

target

spec.target specifies the target to be deployed. It must exist in the Kluctl projects kluctl.yaml targets list.

This field is optional and can be omitted if the referenced Kluctl project allows deployments without targets.

targetNameOverride

spec.targetNameOverride will set or override the name of the target. This is equivalent to passing --target-name-override to kluctl deploy.

context

spec.context will override the context used while deploying. This is equivalent to passing --context to kluctl deploy.

deployMode

By default, the operator will perform a full deployment, which is equivalent to using the kluctl deploy command. As an alternative, the controller can be instructed to only perform a kluctl poke-images command. Please see https://kluctl.io/docs/kluctl/reference/commands/poke-images/ for details on the command. To do so, set spec.deployMode field to poke-images.

Example:

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: microservices-demo-prod
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  deployMode: poke-images

prune

To enable pruning, set spec.prune to true. This will cause the controller to run kluctl prune after each successful deployment.

delete

To enable deletion, set spec.delete to true. This will cause the controller to run kluctl delete when the KluctlDeployment gets deleted.

args

spec.args is an object representing arguments passed to the deployment. Example:

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: example
spec:
  interval: 5m
  source:
    url: https://github.com/kluctl/kluctl-examples.git
    path: "./microservices-demo/3-templating-and-multi-env/"
  timeout: 2m
  target: prod
  context: default
  args:
    arg1: value1
    arg2: value2
    arg3:
      k1: v1
      k2: v2

The above example is equivalent to calling kluctl deploy -t prod -a arg1=value1 -a arg2=value2.

images

spec.images specifies a list of fixed images to be used by image.get_image(...) . Example:

apiVersion: flux.kluctl.io/v1alpha1
kind: KluctlDeployment
metadata:
  name: example
spec:
  interval: 5m
  source:
    url: https://example.com
  timeout: 2m
  target: prod
  images:
    - image: nginx
      resultImage: nginx:1.21.6
      namespace: example-namespace
      deployment: Deployment/example
    - image: registry.gitlab.com/my-org/my-repo/image
      resultImage: registry.gitlab.com/my-org/my-repo/image:1.2.3

The fixed images provided here take precedence over the ones provided in the target definition .

images:
- image: nginx
  resultImage: nginx:1.21.6
  namespace: example-namespace
  deployment: Deployment/example
- image: registry.gitlab.com/my-org/my-repo/image
  resultImage: registry.gitlab.com/my-org/my-repo/image:1.2.3

dryRun

spec.dryRun is a