Add notes for unreleased features
@@ -284,6 +284,11 @@ example-runnerdeploy2475ht2qbr mumoshu/actions-runner-controller-ci Running
##### Note on scaling to/from 0
+> This is a documentation about a unreleased version of actions-runner-controller.
+>
+> It would be great if you could try building the latest controller image following https://github.com/actions-runner-controller/actions-runner-controller#contributing if you are eager to test it early and help
+> developers by reporting any bugs :smile:
+
You can either delete the runner deployment, or update it to have `replicas: 0`, so that there will be 0 runner pods in the cluster. This, in combination with e.g. `cluster-autoscaler`, enables you to save your infrastructure cost when there's no need to run Actions jobs.
```yaml
@@ -554,6 +559,11 @@ See ["activity types"](https://docs.github.com/en/actions/reference/events-that-
#### Autoscaling to/from 0
+> This is a documentation about a unreleased version of actions-runner-controller.
+>
+> It would be great if you could try building the latest controller image following https://github.com/actions-runner-controller/actions-runner-controller#contributing if you are eager to test it early and help
+> developers by reporting any bugs :smile:
+
Previously, we've discussed about [how to scale a RunnerDeployment to/from 0](#note-on-scaling-tofrom-0)
To automate the process of scaling to/from 0, you can use `HorizontalRunerAutoscaler` with a caveat.
@@ -574,6 +584,11 @@ Similarly, Webhook-based autoscaling works regarless of there are active runners
#### Scheduled Overrides
+> This is a documentation about a unreleased version of actions-runner-controller.
+>
+> It would be great if you could try building the latest controller image following https://github.com/actions-runner-controller/actions-runner-controller#contributing if you are eager to test it early and help
+> developers by reporting any bugs :smile:
+
`Scheduled Overrides` allows you to configure HorizontalRunnerAutosaler so that its Spec gets updated only during a certain period of time.
usually, this feature is used for following scenarios:
