---
title: Extensible Templating Processing for clusterctl
authors:
* "@wfernandes"
reviewers:
* "@timothysc"
* "@ncdc"
* "@fabriziopandini"
* "@vincepri"
creation-date: 2020-04-27
last-updated: 2020-05-27
status: implementable
see-also:
* https://github.com/kubernetes-sigs/cluster-api/issues/2339
replaces:
* N/A
superseded-by:
* N/A
---
- Glossary
- Summary
- Motivation
- Proposal
- Alternatives
- Upgrade Strategy
- Additional Details
- Implementation History
Refer to the Cluster API Book Glossary.
SimpleYamlProcessor - This is the processor that will handle the existing variable substitution method of templating. This will be the default mode of operation.
Some templating tools that can be used to manage your templates.
- Ytt - Yaml Templating Tool.
- Cue - Cue Data Constraint Language.
- Dhall - Dhall Programming Configuration Language.
- Source: https://github.com/dhall-lang/dhall-lang
- Golang Library: https://github.com/philandstuff/dhall-golang
- Kubernetes Library: https://github.com/dhall-lang/dhall-kubernetes
- Helm Template
Clusterctl handles the lifecycle of Cluster API management and workload clusters. It automates fetching the YAML files defining provider components and the cluster templates used to define workload clusters. However, as more providers contribute to CAPI and the variety of workload cluster templates increase, it becomes harder for operators to manage all the cluster template flavor permutations. Operators and providers are now leaning towards yaml templating tools to properly manage the variety of cluster templates, and to simplify the end user experience by limiting the amount of boilerplate YAML that operators need to supply.
This proposal outlines the need to create an extensible templating mechanism within clusterctl so that it can be used effectively with other templating tools and continue to provide a seamless user experience.
To support a Cluster API that is cloud agnostic, operators need to deploy workloads in a multi-cloud environment. Operators and providers may need to create and manage multiple cluster templates across a matrix of options and configurations. To manage the explosion of yaml manifests, operators may want to explore templating tools to minimize duplication and assert type correctness.
Users looking to deploy workload clusters may be overwhelmed by the number of variables needed to configure a workload cluster. Some of these options may be circumvented via defaults provided by the operators as part of the templating tool.
This proposal aims to extend clusterctl’s current templating mechanism of simple variable substitution to support other templating formats natively, thus benefiting the operators to deploy workload clusters with minimal configuration.
- Clusterctl will not be changing the way it gets values for yaml variables. That is, it will get values from environment variables and the config file.
- To provide an interface such that other templating solutions may be supported.
- To disrupt upstream templating solutions such as kustomize.
- To replace Clusterctl default mode of processing templates, aka
SimpleYamlProcessor
.
- To automatically detect template files for the appropriate template engine.
- To use the configuration file to determine which provider should use preferred templating mechanisms.
This section outlines the high level work that needs to be done in order to accomplish the task of supporting other templating tools.
- As a clusterctl user, I would like to preserve the current behavior of using existing workload cluster templates with simple variable substitution from the clusterctl config and environment variables.
- As an infrastructure provider, I would like to provide templated yaml with
defaults and have that be consumed by
clusterctl config cluster
to generate cluster manifests. - As a developer, I would like to easily provide a way to extend clusterctl with my preferred templating solution.
Currently the clusterctl command fetches yaml for the provider components (yaml defining the management cluster components) and the workload cluster templates.
For the first iteration, we won't be making any user facing changes to the clusterctl CLI. Therefore all the clusterctl commands will hold true with the current expected behavior. The changes will be exposed via the clusterctl library.
The TemplateClient
will contain a field adhering to the interface - YamlProcessor
.
The YamlProcessor
will provide three behaviors.
-
ArtifactName
will return the name of the template artifacts that need to be retrieved from the source.- For the default
SimpleYamlProcessor
, it will becluster-template.yaml
. If the flavor option is provided, it will becluster-template-<flavor>.yaml
. - For other
YamlProcessor
s, it could be something that follows a separate convention such ascluster-template-<template-engine-type>.<compression-format>
. This should include all the artifacts required by the template processor to produce the final YAML template.
Once we retrieve the artifact blob of bytes we can then perform the required two functions.
- For the default
-
GetVariables
is responsible for parsing the template artifact blob of bytes and providing a list of variables that the template requires. -
Process
is responsible for parsing the artifact blob of bytes and will return the final manifest with values retrieved from theVariablesGetter
.
The yaml specific processor can be passed in via the clusterctl library.
- Another method of defining a yaml processor instead of using its library would be to shell out to the templating engine binary/executable. The advantage of this is that the templating engine is not a dependency within the clusterctl codebase. The disadvantage is that the user needs to ensure the binary is installed separately which disrupts the UX of clusterctl. If each infrastructure provider provides different template styles, the user would need to install multiple templating tool binaries.
-
Support path for supporting extended templating tools within clusterctl. That is, if there are templating issues, who owns them and how do we address them. This is for each templating engine that is included in clusterctl. However since if we decide to put extended templating libraries within a contrib folder, it will be the responsibility of the contributor and not the project maintainers to support the templating libraries so the issue of support should be solved with this contract.
-
Each provider may want to implement their own templating standard. This could affect the UX of clusterctl when automatically pulling workload cluster templates from various providers.
-
Define a format or convention for retrieving multiple template files. Currently, clusterctl supports template retrieval from a ConfigMap in a cluster, URL, Github release artifacts and local file system. We default to retrieving provider cluster templates from github release assets. In order to avoid running into github quota limits on retrieving asset files we can pull a compressed file with all the template contents.
As mentioned above in the Constraints and Implementation section a suggestion for convention would be
cluster-template-<template-engine-type>.<compression-format>
. Compression format could be tar, gzip, zip, etc.We will be leaning towards
tar.gz
compression format unless any objections.
- Currently, clusterctl relies on the conformance of file name conventions
such as
infrastructure-components.yaml
andcluster-template-<flavor>.yaml
. Other templating tools might require other conventions to be defined and followed to allow the same "day 1" experience. - Some templating tools will require multiple files to be defined rather than
a single yaml file. These artifacts will need to be "grouped" together to
support current retrieval mechanisms. Currently,
clusterctl config cluster
retrieves templates from multiple sources such as ConfigMaps within a cluster, URL, Github Repository, Local Repository and even the overrides directory. To ensure compatibility, we’ll need to establish a compression format like tar.gz
- An alternative to allowing clusterctl handle templates would be to just use
another tool upstream to generate the various templates with variables
defined. Then use clusterctl to consume that template and use the
SimpleYamlProcessor
to produce the template.
Any individual template engine libraries would be upgraded via go modules preferably using semver standards.
Currently, cluster-api-provider-azure is using kustomize to author their cluster template flavors. See issue 540 for more details. Maybe we can collect input from them to understand their strategy if they need to manage their template variations.
- 04/22/2020: Proposed idea in an issue or community meeting
- 04/27/2020: Compile a CAEP Google Doc following the CAEP template
- 05/06/2020: First round of feedback from community
- 05/11/2020: Open proposal PR
- 05/13/2020: Present proposal at a community meeting