- Contributor License Agreements
- Finding Things That Need Help
- Versioning
- Branches
- Contributing a Patch
- Documentation changes
- Releases
- Proposal process (CAEP)
- Triaging E2E test failures
- Reviewing a Patch
- Reviews
- Features and bugs
- Experiments
- Breaking Changes
- API conventions
- Google Doc Viewing Permissions
- Issue and Pull Request Management
- Contributors Ladder
Read the following guide if you're interested in contributing to cluster-api.
We'd love to accept your patches! Before we can take them, we have to jump a couple of legal hurdles.
Please fill out either the individual or corporate Contributor License Agreement (CLA). More information about the CLA and instructions for signing it can be found here.
NOTE: Only original source code from you and other people that have signed the CLA can be accepted into the *repository.
If you're new to the project and want to help, but don't know where to start, we have a semi-curated list of issues that should not need deep knowledge of the system. Have a look and see if anything sounds interesting. Before starting to work on the issue, make sure that it doesn't have a lifecycle/active label. If the issue has been assigned, reach out to the assignee. Alternatively, read some of the docs on other controllers and try to write your own, file and fix any/all issues that come up, including gaps in documentation!
If you're a more experienced contributor, looking at unassigned issues in the next release milestone is a good way to find work that has been prioritized. For example, if the latest minor release is v1.0
, the next release milestone is v1.1
.
Help and contributions are very welcome in the form of code contributions but also in helping to moderate office hours, triaging issues, fixing/investigating flaky tests, being part of the release team, helping new contributors with their questions, reviewing proposals, etc.
⚠ The project does not follow Go Modules guidelines for compatibility requirements for 1.x semver releases.
Cluster API follows upstream Kubernetes semantic versioning. With the v1 release of our codebase, we guarantee the following:
-
A (minor) release CAN include:
- Introduction of new API versions, or new Kinds.
- Compatible API changes like field additions, deprecation notices, etc.
- Breaking API changes for deprecated APIs, fields, or code.
- Features, promotion or removal of feature gates.
- And more!
-
A (patch) release SHOULD only include backwards compatible set of bugfixes.
These guarantees extend to all code exposed in our Go Module, including types from dependencies in public APIs. Types and functions not in public APIs are not considered part of the guarantee. The test module, clusterctl, and experiments do not provide any backward compatible guarantees.
We only accept backports of critical bugs, security issues, or bugs without easy workarounds, any backport MUST not be breaking for either API or behavioral changes. In order to improve user/developer experience maintainers can choose to backport:
- Doc improvements
- Improvements to CI signal
- Improvements to the test framework (enabling improvements to provider's test signal)
- Cert-manager bump (to avoid having branch using cert-manager versions out of support, when possible)
- Changes required to support new Kubernetes versions, when possible.
We generally do not accept PRs against older release branches.
API versioning and guarantees are inspired by the Kubernetes deprecation policy and API change guidelines. We follow the API guidelines as much as possible adapting them if necessary and on a case-by-case basis to CustomResourceDefinition.
Any command line interface in Cluster API (e.g. clusterctl) share the same versioning schema of the codebase. CLI guarantees are inspired by Kubernetes deprecation policy for CLI, however we allow breaking changes after 8 months or 2 releases (whichever is longer) from deprecation.
Cluster API has two types of branches: the main branch and release-X branches.
The main branch is where development happens. All the latest and greatest code, including breaking changes, happens on main.
The release-X branches contain stable, backwards compatible code. On every major or minor release, a new branch is created. It is from these branches that minor and patch releases are tagged. In some cases, it may be necessary to open PRs for bugfixes directly against stable branches, but this should generally not be the case.
Cluster API maintains the most recent release/releases for all supported API and contract versions. Support for this section refers to the ability to backport and release patch versions; backport policy is defined above.
- The API version is determined from the GroupVersion defined in the top-level
api/
package. - The EOL date of each API Version is determined from the last release available once a new API version is published.
API Version | Supported Until |
---|---|
v1beta1 | TBD (current stable) |
v1alpha4 | EOL since 2022-04-06 |
v1alpha3 | EOL since 2022-02-23 |
- For the latest API version we support the two most recent minor releases; older minor releases are immediately unsupported when a new major/minor release is available.
- For older API versions we only support the most recent minor release until the API version reaches EOL.
Minor Release | API Version | Supported Until |
---|---|---|
v1.3.x | v1beta1 | when v1.5.0 will be released |
v1.2.x | v1beta1 | when v1.4.0 will be released, tentatively March 2023 |
v1.1.x | v1beta1 | EOL since 2022-07-18 - v1.2.0 release date (*) |
v1.0.x | v1beta1 | EOL since 2022-02-02 - v1.1.0 release date (*) |
v0.4.x | v1alpha4 | EOL since 2022-04-06 - API version EOL |
v0.3.x | v1alpha3 | EOL since 2022-02-23 - API version EOL |
(*) Previous support policy applies, older minor releases were immediately unsupported when a new major/minor release was available
- Exceptions can be filed with maintainers and taken into consideration on a case-by-case basis.
- If you haven't already done so, sign a Contributor License Agreement (see details above).
- If working on an issue, signal other contributors that you are actively working on it using
/lifecycle active
. - Fork the desired repo, develop and test your code changes.
- Submit a pull request.
- All code PR must be labeled with one of
⚠️ (:warning:
, major or breaking changes)- ✨ (
:sparkles:
, feature additions) - 🐛 (
:bug:
, patch and bugfixes) - 📖 (
:book:
, documentation or proposals) - 🌱 (
:seedling:
, minor or other)
- All code PR must be labeled with one of
- If your PR has multiple commits, you must squash them into a single commit before merging your PR.
Individual commits should not be tagged separately, but will generally be assumed to match the PR. For instance, if you have a bugfix in with a breaking change, it's generally encouraged to submit the bugfix separately, but if you must put them in one PR, mark the commit separately.
All changes must be code reviewed. Coding conventions and standards are explained in the official developer docs. Expect reviewers to request that you avoid common go style mistakes in your PRs.
The documentation is published in form of a book at:
- Current stable release
- Tip of the main branch
- v1alpha4 release branch
- v1alpha3 release branch
- v1alpha2 release branch
The source for the book is this folder containing markdown files and we use mdBook to build it into a static website.
After making changes locally you can run make serve-book
which will build the HTML version
and start a web server so you can preview if the changes render correctly at
http://localhost:3000; the preview auto-updates when changes are detected.
Note: you don't need to have mdBook installed, make serve-book
will ensure
appropriate binaries for mdBook and any used plugins are downloaded into
hack/tools/bin/
directory.
When submitting the PR remember to label it with the 📖 (:book:) icon.
- Minor versions CAN be planned and scheduled for each quarter, or sooner if necessary.
- Each minor version is preceded with one or more planning session.
- Planning consists of one or more backlog grooming meetings, roadmap amendments, and CAEP proposal reviews.
- Cluster API uses GitHub milestones to track work for minor releases.
- Adding an issue to a milestone provides forward visibility on what the next release will be, so, as soon as there is the intent to work on an issue for a specific target release, contributors are expected to work with maintainers to set the milestone on the issue so it will be tracked for the release (note: only major features/bug fixes specifically targeting a release must be tracked; everything else will simply merge when ready without additional toil).
- Before adding an issue to a release milestone, maintainers must ensure that the issue have been triaged and there is an assignee who expressed the intent to complete the work before the release date.
- An issue being in the milestone doesn't guarantee inclusion in the release; this depends on the work being completed before the release code freeze target date.
- Code freeze is in effect at least 72 hours (3 days) before a major/minor release.
- Maintainers should communicate the code freeze date at a community meeting preceding the code freeze date.
- Only critical bug fixes may be merged in between freeze & release.
- Each bug MUST be associated with an open issue and properly triaged.
- PRs MUST be approved by at least 2 project maintainers.
- First approver should
/approve
and/hold
. - Second approver should
/approve
and/hold cancel
.
- First approver should
- E2E Test grid SHOULD be green before cutting a release.
- Patch versions CAN be planned and scheduled each month for supported minor releases.
- Dates in a release are approximations and always subject to change.
The Cluster API Enhancement Proposal is the process this project uses to adopt new features, changes to the APIs, changes to contracts between components, or changes to CLI interfaces.
The template, and accepted proposals live under docs/proposals.
- Proposals or requests for enhancements (RFEs) MUST be associated with an issue.
- Issues can be placed on the roadmap during planning if there is one or more folks that can dedicate time to writing a CAEP and/or implementing it after approval.
- A proposal SHOULD be introduced and discussed during the weekly community meetings or on the
Kubernetes SIG Cluster Lifecycle mailing list.
- Submit and discuss proposals using a collaborative writing platform, preferably Google Docs, share documents with edit permissions with the Kubernetes SIG Cluster Lifecycle mailing list.
- A proposal in a Google Doc MUST turn into a Pull Request.
- Proposals MUST be merged and in
implementable
state to be considered part of a major or minor release.
When you submit a change to the Cluster API repository as set of validation jobs is automatically executed by prow and the results report is added to a comment at the end of your PR.
Some jobs run linters or unit test, and in case of failures, you can repeat the same operation locally using make test lint [etc..]
in order to investigate and potential issues. Prow logs usually provide hints about the make target you should use
(there might be more than one command that needs to be run).
End-to-end (E2E) jobs create real Kubernetes clusters by building Cluster API artifacts with the latest changes. In case of E2E test failures, usually it's required to access the "Artifacts" link on the top of the prow logs page to triage the problem.
The artifact folder contains:
- A folder with the clusterctl local repository used for the test, where you can find components yaml and cluster templates.
- A folder with logs for all the clusters created during the test. Following logs/info are available:
- Controller logs (only if the cluster is a management cluster).
- Dump of the Cluster API resources (only if the cluster is a management cluster).
- Machine logs (only if the cluster is a workload cluster)
In case you want to run E2E test locally, please refer to the Testing guide. An overview over our e2e test jobs (and also all our other jobs) can be found in Jobs.
Parts of the following content have been adapted from https://google.github.io/eng-practices/review.
Any Kubernetes organization member can leave reviews and /lgtm
a pull request.
Code reviews should generally look at:
- Design: Is the code well-designed and consistent with the rest of the system?
- Functionality: Does the code behave as the author (or linked issue) intended? Is the way the code behaves good for its users?
- Complexity: Could the code be made simpler? Would another developer be able to easily understand and use this code when they come across it in the future?
- Tests: Does the code have correct and well-designed tests?
- Naming: Did the developer choose clear names for variable, types, methods, functions, etc.?
- Comments: Are the comments clear and useful? Do they explain the why rather than what?
- Documentation: Did the developer also update relevant documentation?
See Code Review in Cluster API for a more focused list of review items.
Please see the Kubernetes community document on pull requests for more information about the merge process.
- A PR is approved by one of the project maintainers and owners after reviews.
- Approvals should be the very last action a maintainer takes on a pull request.
Open issues to report bugs, or discuss minor feature implementation.
Each new issue will be automatically labeled as needs-triage
; after being triaged by the maintainers the label
will be removed and replaced by one of the following:
triage/accepted
: Indicates an issue or PR is ready to be actively worked on.triage/duplicate
: Indicates an issue is a duplicate of another open issue.triage/needs-information
: Indicates an issue needs more information in order to work on it.triage/not-reproducible
: Indicates an issue can not be reproduced as described.triage/unresolved
: Indicates an issue that can not or will not be resolved.
For big feature, API and contract amendments, we follow the CAEP process as outlined below.
Proof of concepts, code experiments, or other initiatives can live under the exp
folder or behind a feature gate.
- Experiments SHOULD not modify any of the publicly exposed APIs (e.g. CRDs).
- Experiments SHOULD not modify any existing CRD types outside of the experimental API group(s).
- Experiments SHOULD not modify any existing command line contracts.
- Experiments MUST not cause any breaking changes to existing (non-experimental) Go APIs.
- Experiments SHOULD introduce utility helpers in the go APIs for experiments that cross multiple components and require support from bootstrap, control plane, or infrastructure providers.
- Experiments follow a strict lifecycle: Alpha -> Beta prior to Graduation.
- Alpha-stage experiments:
- SHOULD not be enabled by default and any feature gates MUST be marked as 'Alpha'
- MUST be associated with a CAEP that is merged and in at least a provisional state
- MAY be considered inactive and marked as deprecated if the following does not happen within the course of 1 minor release cycle:
- Transition to Beta-stage
- Active development towards progressing to Beta-stage
- Either direct or downstream user evaluation
- Any deprecated Alpha-stage experiment MAY be removed in the next minor release.
- Beta-stage experiments:
- SHOULD be enabled by default, and any feature gates MUST be marked as 'Beta'
- MUST be associated with a CAEP that is at least in the experimental state
- MUST support conversions for any type changes
- MUST remain backwards compatible unless updates are coinciding with a breaking Cluster API release
- MAY be considered inactive and marked as deprecated if the following does not happen within the course of 1 minor release cycle:
- Graduate
- Active development towards Graduation
- Either direct or downstream user consumption
- Any deprecated Beta-stage experiment MAY be removed after being deprecated for an entire minor release.
- Alpha-stage experiments:
- Experiment Graduation MUST coincide with a breaking Cluster API release
- Experiment Graduation checklist:
- MAY provide a way to be disabled, any feature gates MUST be marked as 'GA'
- MUST undergo a full Kubernetes-style API review and update the CAEP with the plan to address any issues raised
- CAEP MUST be in an implementable state and is fully up to date with the current implementation
- CAEP MUST define transition plan for moving out of the experimental api group and code directories
- CAEP MUST define any upgrade steps required for Existing Management and Workload Clusters
- CAEP MUST define any upgrade steps required to be implemented by out-of-tree bootstrap, control plane, and infrastructure providers.
Breaking changes are generally allowed in the main
branch, as this is the branch used to develop the next minor
release of Cluster API.
There may be times, however, when main
is closed for breaking changes. This is likely to happen as we near the
release of a new minor version.
Breaking changes are not allowed in release branches, as these represent minor versions that have already been released. These versions have consumers who expect the APIs, behaviors, etc. to remain stable during the life time of the patch stream for the minor release.
Examples of breaking changes include:
- Removing or renaming a field in a CRD
- Removing or renaming a CRD
- Removing or renaming an exported constant, variable, type, or function
- Updating the version of critical libraries such as controller-runtime, client-go, apimachinery, etc.
- Some version updates may be acceptable, for picking up bug fixes, but maintainers must exercise caution when reviewing.
There may, at times, need to be exceptions where breaking changes are allowed in release branches. These are at the
discretion of the project's maintainers, and must be carefully considered before merging. An example of an allowed
breaking change might be a fix for a behavioral bug that was released in an initial minor version (such as v0.3.0
).
This project follows the Kubernetes API conventions. Minor modifications or additions to the conventions are listed below.
-
Status fields MUST be optional. Our controllers are patching selected fields instead of updating the entire status in every reconciliation.
-
If a field is required (for our controllers to work) and has a default value specified via OpenAPI schema, but we don't want to force users to set the field, we have to mark the field as optional. Otherwise, the client-side kubectl OpenAPI schema validation will force the user to set it even though it would be defaulted on the server-side.
Optional fields have the following properties:
- An optional field MUST be marked with
+optional
and include anomitempty
JSON tag. - Fields SHOULD be pointers if there is a good reason for it, for example:
- the nil and the zero values (by Go standards) have semantic differences.
- Note: This doesn't apply to map or slice types as they are assignable to
nil
.
- Note: This doesn't apply to map or slice types as they are assignable to
- the field is of a struct type, contains only fields with
omitempty
and you want to prevent that it shows up as an empty object after marshalling (e.g.kubectl get
)
- the nil and the zero values (by Go standards) have semantic differences.
When using ClusterClass, the semantic difference is important when you have a field in a template which will
have instance-specific different values in derived objects. Because in this case it's possible to set the field to nil
in the template and then the value can be set in derived objects without being overwritten by the cluster topology controller.
-
Fields in root objects should be kept as scaffolded by kubebuilder, e.g.:
type Machine struct { metav1.TypeMeta `json:",inline"` metav1.ObjectMeta `json:"metadata,omitempty"` Spec MachineSpec `json:"spec,omitempty"` Status MachineStatus `json:"status,omitempty"` } type MachineList struct { metav1.TypeMeta `json:",inline"` metav1.ListMeta `json:"metadata,omitempty"` Items []Machine `json:"items"` }
-
Top-level fields in
status
must always have the+optional
annotation. If we want the field to be always visible even if it has the zero value, it must not have theomitempty
JSON tag, e.g.:- Replica counters like
availableReplicas
in theMachineDeployment
- Flags expressing progress in the object lifecycle like
infrastructureReady
inMachine
- Replica counters like
All our CRD objects should have the following additionalPrinterColumns
order (if the respective field exists in the CRD):
- Namespace (added automatically)
- Name (added automatically)
- Cluster
- Other fields
- Replica-related fields
- Phase
- Age (mandatory field for all CRDs)
- Version
- Other fields for -o wide (fields with priority
1
are only shown with-o wide
and not per default)
NOTE: The columns can be configured via the kubebuilder:printcolumn
annotation on root objects. For examples, please see the ./api
package.
Examples:
kubectl get kubeadmcontrolplane
NAMESPACE NAME INITIALIZED API SERVER AVAILABLE REPLICAS READY UPDATED UNAVAILABLE AGE VERSION
quick-start-d5ufye quick-start-ntysk0-control-plane true true 1 1 1 2m44s v1.23.3
kubectl get machinedeployment
NAMESPACE NAME CLUSTER REPLICAS READY UPDATED UNAVAILABLE PHASE AGE VERSION
quick-start-d5ufye quick-start-ntysk0-md-0 quick-start-ntysk0 1 1 1 ScalingUp 3m28s v1.23.3
To gain viewing permissions to google docs in this project, please join either the kubernetes-dev or kubernetes-sig-cluster-lifecycle google group.
Anyone may comment on issues and submit reviews for pull requests. However, in order to be assigned an issue or pull request, you must be a member of the Kubernetes SIGs GitHub organization.
If you are a Kubernetes GitHub organization member, you are eligible for membership in the Kubernetes SIGs GitHub organization and can request membership by opening an issue against the kubernetes/org repo.
However, if you are a member of any of the related Kubernetes GitHub organizations but not of the Kubernetes org, you will need explicit sponsorship for your membership request. You can read more about Kubernetes membership and sponsorship here.
Cluster API maintainers can assign you an issue or pull request by leaving a /assign <your Github ID>
comment on the
issue or pull request.
New contributors are welcomed to the community by existing members, helped with PR workflow, and directed to relevant documentation and communication channels. We are also committed in helping people willing to do so in stepping up through the contributor ladder and this paragraph describes how we are trying to make this to happen.
As the project adoption increases and the codebase keeps growing, we’re trying to break down ownership into self-driven subareas of interest. Requirements from the Kubernetes community membership guidelines apply for reviewers, maintainers and any member of these subareas. Whenever you meet requisites for taking responsibilities in a subarea, the following procedure should be followed:
- Submit a PR.
- Propose at community meeting.
- Get positive feedback and +1s in the PR and wait one week lazy consensus after agreement.
As of today there are following OWNERS files/Owner groups defining sub areas: