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kubecm

Control Kubernetes with Puppet
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Version information

  • 0.1.1 (latest)
  • 0.1.0 (deleted)
released Dec 16th 2024
This version is compatible with:
  • Puppet Enterprise 2023.8.x, 2023.7.x, 2023.6.x, 2023.5.x, 2023.4.x, 2023.3.x, 2023.2.x, 2023.1.x, 2021.7.x
  • Puppet >= 7.24 < 9.0.0
  • , , , , , , ,
Plans:
  • deploy

Start using this module

  • r10k or Code Manager
  • Bolt
  • Manual installation
  • Direct download

Add this module to your Puppetfile:

mod 'jtl-kubecm', '0.1.1'
Learn more about managing modules with a Puppetfile

Add this module to your Bolt project:

bolt module add jtl-kubecm
Learn more about using this module with an existing project

Manually install this module globally with Puppet module tool:

puppet module install jtl-kubecm --version 0.1.1

Direct download is not typically how you would use a Puppet module to manage your infrastructure, but you may want to download the module in order to inspect the code.

Download

Documentation

jtl/kubecm — version 0.1.1 Dec 16th 2024

KubeCM: Kubernetes Configuration Management

pipeline status

Overview

KubeCM (Kubernetes Configuration Management) empowers you to control and deploy Kubernetes resources your way, combining the strengths of Puppet, Helm, and Kustomize. With KubeCM, you can manage, customize, and configure Kubernetes deployments using a hierarchical data model and YAML plans that provide clarity and reusability.

Features

  • Unified Management: Deploy Helm charts, custom resources, and Kustomize patches under one plan.
  • Hierarchical Configuration: Use Hiera to store, merge, and override configurations at multiple levels.
  • Secure Secrets: Encrypt sensitive data using Hiera-EYAML.
  • Custom Resource Deployment: Deploy any Kubernetes resource directly without requiring a Helm chart.
  • Integrated Orchestration: Bolt-powered orchestration for on-demand or scheduled deployments.
  • Cloud Transition: Leverage existing Puppet data and automation to ease migrations to Kubernetes.

Motivation

Kubernetes excels at managing clusters, but it struggles with managing entire deployments as cohesive units. Helm addresses this gap with templated "charts," but real-world applications often require configuration changes that Helm templates do not expose. KubeCM steps in to bridge this gap by leveraging Puppet's powerful configuration management features (like Hiera and Bolt) to manage and customize Helm, Kustomize, and raw Kubernetes resources as a unified whole.

Getting Started

Prerequisites

Ensure the following tools are installed and configured on a Linux system:

  • kubectl: Kubernetes CLI for managing clusters.
  • helm: Kubernetes package manager.
  • bolt: Puppet orchestration tool.
  • hiera-eyaml: Optional, for encrypted secrets.

Installation

  1. Create a Bolt project:

    mkdir acme_inc
cd acme_inc
bolt project init

  2. Add KubeCM to bolt-project.yaml:

    ---
name: acme_inc
modules:
  - jtl-kubecm

  3. Install the module:

    bolt module install

Usage

Deploying Applications

The following parameters in the kubecm::deploy plan specify key aspects of a deployment:

  • release: The unique name of the deployment within the Kubernetes namespace. Each deployment should have a distinct release name.
  • chart: The name of the Helm chart to be used for the deployment.
  • chart_source: The location of the Helm chart from a repo, a local directory, or an OCI registry reference. This tells Helm where to retrieve the chart. It can also be undefined to deploy without a chart, using only resources from Hiera.
  • repo_url: If using a repo reference in chart_source (e.g. repo_name/chart_name), the HTTP location of the Helm repository.

Use the kubecm::deploy plan to install applications via Helm charts.

Example:

bolt plan run kubecm::deploy release=shop chart=wordpress chart_source=oci://registry-1.docker.io/bitnamicharts/wordpress
bolt plan run kubecm::deploy release=blog chart=wordpress chart_source=oci://registry-1.docker.io/bitnamicharts/wordpress
bolt plan run kubecm::deploy release=vaultwarden chart_source=guerzon/vaultwarden repo_url=https://guerzon.github.io/vaultwarden

This deploys two WordPress instances ("shop" and "blog") and a Vaultwarden instance.

Configuring Deployments

Configuration is managed using Hiera's hierarchical structure. Create a hiera.yaml in the project directory:

---
version: 5

defaults:
  datadir: data
  data_hash: yaml_data

hierarchy:
  - name: 'Releases'
    paths:
      - "release/%{kubecm::deploy::release}/%{kubecm::deploy::namespace}.yaml"
      - "release/%{kubecm::deploy::release}.yaml"
  - name: 'Charts'
    paths:
      - "chart/%{kubecm::deploy::chart}/%{kubecm::deploy::namespace}.yaml"
      - "chart/%{kubecm::deploy::chart}.yaml"
  - name: 'Common'
    paths:
      - 'common.yaml'

To provide additional customization, you can override KubeCM's default key names for various deployment settings. These keys include:

  • include_key: Used to define additional Puppet classes to be included.
  • resources_key: Used to define Kubernetes resources to be created as part of the deployment.
  • values_key: Used to provide Helm chart values for the deployment.
  • patches_key: Used to define Kustomize patches to apply to resources.

These key names can be set in data/common.yaml to override the defaults as shown below:

---
kubecm::deploy::include_key: 'include'
kubecm::deploy::resources_key: 'resources'
kubecm::deploy::values_key: 'values'
kubecm::deploy::patches_key: 'patches'

This configuration allows for a more customized, DSL-like experience when managing Kubernetes deployments with KubeCM. You can modify these key names to avoid conflicts with other existing keys in your control repository.

Custom Resources, Values, and Patches

Values Examples:

Memory Resource Parameterization:

This example demonstrates how to set default memory requests for Helm deployments and override them at a namespace-specific level.

data/chart/wordpress.yaml

---
memory: 200Mi

values:
  resources:
    requests:
      memory: "%{lookup('memory')}"

data/chart/wordpress/test.yaml

---
memory: 100Mi

Ingress Hostname Parameterization:

This example shows how to set a default ingress hostname pattern for all releases and override it for specific releases.

data/chart/wordpress.yaml

---
ingress_hostname: "%{kubecm::deploy::release}.example.com"

values:
  ingress:
    enabled: true
    hostname: "%{lookup('ingress_hostname')}"

data/release/shop.yaml

---
ingress_hostname: 'store.example.com'

Vaultwarden Admin Token Hash Calculation:

This example demonstrates how to hash the Vaultwarden admin token dynamically and make it available as a Helm chart value.

data/chart/vaultwarden.yaml

---
include:
  - 'acme_inc::vaultwarden'

admin_token: supersecuretoken # encrypt this with hiera-eyaml!

values:
  adminToken:
    value: "%{acme_inc::vaultwarden::admin_token_hash}"

manifests/vaultwarden.pp

class acme_inc::vaultwarden {
  $admin_token = lookup('admin_token')
  $admin_token_hash = generate(
    '/bin/sh',
    '-c',
    "echo -n ${admin_token.shellquote} | argon2 `openssl rand -base64 32` -e -id -k 65540 -t 3 -p 4",
  ).chomp
}

Registry Auths Example:

This example demonstrates how to manage Docker registry authentication secrets to be used by Kubernetes deployments.

data/common.yaml

---
include:
  - 'acme_inc'

registry_tokens:
  registry.example.com: fake-token # encrypt this with hiera-eyaml!

resources:
  registry_auths:
    - apiVersion: v1
      kind: Secret
      metadata:
        name: "%{kubecm::deploy::service}-registry-auths"
        namespace: "%{kubecm::deploy::namespace}"
      data:
        .dockerconfigjson: "%{acme_inc::registry_auths_base64}"
      type: kubernetes.io/dockerconfigjson

manifests/init.pp

class acme_inc {
  $registry_tokens = lookup('registry_tokens')
  $registry_auths_base64 = base64('encode', stdlib::to_json({
    'auths' => $registry_tokens.reduce({}) |$result, $token| {
      $result + { $token[0] => { 'auth' => base64('encode', $token[1]).chomp } }
    },
  }))
}

Patch Example

This example demonstrates how to use a Kustomize patch to modify Kubernetes resources in place. Patches like this are useful when you need to modify resource properties that aren't exposed as chart values, such as node affinity, tolerations, or annotations. Patching can be especially helpful when dealing with third-party charts where direct configuration is limited:

data/chart/vaultwarden.yaml

---
node_role: special

patches:
  10-placement:
    patch:
      kind: not-important
      metadata:
        name: not-important
      spec:
        template:
          spec:
            affinity:
              nodeAffinity:
                requiredDuringSchedulingIgnoredDuringExecution:
                  nodeSelectorTerms:
                    - matchExpressions:
                      - key: "node-role.kubernetes.io/%{lookup('node_role')}"
                        operator: Exists
            tolerations:
              - key: "node-role.kubernetes.io/%{lookup('node_role')}"
                operator: Exists
                effect: NoSchedule
    targets:
      kind: (Deployment|StatefulSet|Job)

YAML Plans

YAML plans provide a simple way to define deployment workflows using YAML syntax. They enable you to automate the execution of multiple tasks, making it easier to manage and update Kubernetes resources in a consistent manner.

YAML plans are especially useful for repeatable deployments, where you want to ensure that all necessary steps are executed in the correct order. Below are two example YAML plans for deploying Vaultwarden and WordPress applications.

Example 1: Deploying Vaultwarden

This YAML plan defines a simple process to deploy the Vaultwarden application using KubeCM's kubecm::deploy plan.

plans/deploy_vaultwarden.yaml

---
description: 'Deploy Acme Inc Vaultwarden'

steps:
  - description: 'Deploy Vaultwarden'
    plan: kubecm::deploy
    parameters:
      release: 'vaultwarden'
      chart_source: 'guerzon/vaultwarden'
      repo_url: 'https://guerzon.github.io/vaultwarden'

This plan deploys the Vaultwarden release using the specified chart and repository URL.

Example 2: Deploying WordPress

This YAML plan defines a more flexible deployment workflow for WordPress. It allows the user to specify which instance (either 'shop' or 'blog') should be deployed.

plans/deploy_wordpress.yaml

---
description: 'Deploy Acme Inc WordPress'

parameters:
  site:
    description: The release to deploy
    type: Enum['shop', 'blog']

steps:
  - description: 'Deploy WordPress'
    plan: kubecm::deploy
    parameters:
      release: $site
      chart: wordpress
      chart_source: oci://registry-1.docker.io/bitnamicharts/wordpress

This plan introduces the parameters block, which requires the user to specify the site (either shop or blog) to be deployed. This is useful when you want to reuse the same plan logic for multiple deployments.

To run these plans, you would use the following Bolt commands:

bolt plan run acme_inc::deploy_vaultwarden
bolt plan run acme_inc::deploy_wordpress site=shop
bolt plan run acme_inc::deploy_wordpress site=blog

These YAML plans streamline deployments, enforce consistency, and ensure repeatable, parameterized workflows that are easy to maintain and execute.

Troubleshooting

If you encounter issues with your deployments, KubeCM provides several tools to help diagnose and debug problems.

Using the render_to Parameter

The render_to parameter allows you to render the final output of the Helm or Kustomize configuration to a local file. This is useful for verifying the rendered Kubernetes manifests before deploying them.

Example usage:

bolt plan run kubecm::deploy release=shop chart=wordpress chart_source=oci://registry-1.docker.io/bitnamicharts/wordpress render_to=output.yaml

After the command runs, the rendered configuration will be saved in output.yaml for review.

Exploring the Build Directory

KubeCM generates a build directory during deployment. This directory contains intermediate files and configurations produced during the rendering and patching process. The build directory provides insight into the final state of configurations before they are applied to the Kubernetes cluster.

By default, the build directory is named build and is created in the current working directory.

To explore the build directory, you can navigate into it and review the files:

cd build
ls -al

Inside, you will find rendered manifests and debug information, which can be invaluable when troubleshooting failed deployments or understanding how your configurations were combined.

Contributing

Contributions are welcome! Follow these steps to contribute:

  1. Use your fork for development:

    Modify the bolt-project.yaml to use your forked repository:

    modules:
  - name: kubecm
    git: <repo-url>
    ref: <branch-name>

    Then run:

    bolt module install

  2. Project is managed with PDK:

    Before contributing changes back to the project, ensure that your changes pass PDK validation and tests:

    pdk validate
pdk test unit

  3. Submit a pull request.

Happy Deploying!