Nikola JokicandCopilot App 810127e8d9 Record why the cleanup marker check is equality, not monotonicity
The neighbouring applied-revision helper refuses to move its marker
backwards, so the obvious tidy-up is to make this one match. That would
break it.

Applied revisions derive from metadata.generation and only ever climb.
Listener patch IDs do not. setDesiredWorkerState publishes 0 whenever
the set is idle at MinRunners with nothing dirty, restarts its sequence
from 0 when the listener restarts, and wraps explicitly at MaxInt32, so
Spec.PatchID legitimately moves down. The marker only means "the gap
below Spec.Replicas was created by cleaning up for exactly this patch
ID", so it has to follow the patch ID wherever it goes. A marker that
refused to descend would sit above every value the listener went on to
publish, and since the guard suppresses only on an exact match,
suppression would never fire again -- silently disabling the behaviour
this layer adds.

This also settles what the optimistic lock is and is not for. It cannot
make an older patch ID unwritable, because the retry re-reads and
re-applies the same argument, and recording the patch ID whose cleanup
actually happened is a true statement regardless of ordering. What it
prevents is a write decided against state that has since changed.

The test pins the descending case, so a future reader who reaches for
>= gets a failure rather than a silently inert guard.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
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…
2026-08-31 16:53:02 +01:00
2022-12-13 11:39:39 +00:00

Actions Runner Controller (ARC)

CII Best Practices awesome-runners Artifact Hub

About

Actions Runner Controller (ARC) is a Kubernetes operator that orchestrates and scales self-hosted runners for GitHub Actions.

With ARC, you can create runner scale sets that automatically scale based on the number of workflows running in your repository, organization, or enterprise. Because controlled runners can be ephemeral and based on containers, new runner instances can scale up or down rapidly and cleanly. For more information about autoscaling, see "Autoscaling with self-hosted runners."

You can set up ARC on Kubernetes using Helm, then create and run a workflow that uses runner scale sets. For more information about runner scale sets, see "Deploying runner scale sets with Actions Runner Controller."

People

Actions Runner Controller (ARC) is an open-source project currently developed and maintained in collaboration with the GitHub Actions team, external maintainers @mumoshu and @toast-gear, various contributors, and the awesome community.

If you think the project is awesome and is adding value to your business, please consider directly sponsoring community maintainers and individual contributors via GitHub Sponsors.

If you are already the employer of one of the contributors, sponsoring via GitHub Sponsors might not be an option. Just support them by other means!

See the sponsorship dashboard for the former and the current sponsors.

Getting Started

To give ARC a try with just a handful of commands, please refer to the Quickstart guide.

For an overview of ARC, please refer to About ARC.

With the introduction of autoscaling runner scale sets, the existing autoscaling modes are now legacy. The legacy modes have certain use cases and will continue to be maintained by the community only.

For further information on what is supported by GitHub and what's managed by the community, please refer to this announcement discussion.

Documentation

ARC documentation is available on docs.github.com.

Legacy documentation

The following documentation is for the legacy autoscaling modes that continue to be maintained by the community:

Contributing

We welcome contributions from the community. For more details on contributing to the project (including requirements), please refer to "Getting Started with Contributing."

Troubleshooting

We are very happy to help you with any issues you have. Please refer to the "Troubleshooting" section for common issues.

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