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Copy file name to clipboardExpand all lines: content/actions/hosting-your-own-runners/managing-self-hosted-runners-with-actions-runner-controller/about-actions-runner-controller.md
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{% data reusables.actions.actions-runner-controller-about-arc %}
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The following diagram illustrates the architecture of ARC's autoscaling runner scaleset mode.
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The following diagram illustrates the architecture of ARC's autoscaling runner scale set mode.
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> [!NOTE]
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> To view the following diagram in a larger size, see the [Autoscaling Runner Scale Sets mode](https://github.com/actions/actions-runner-controller/blob/master/docs/gha-runner-scale-set-controller/README.md#how-it-works) documentation in the Actions Runner Controller repository.
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1. {% data variables.product.prodname_actions_runner_controller %} is installed using the supplied Helm charts, and the controller manager pod is deployed in the specified namespace. A new AutoScalingRunnerSet resource is deployed via the supplied Helm charts or a customized manifest file. The AutoScalingRunnerSet Controller calls GitHub's APIs to fetch the runner group ID that the runner scale set will belong to.
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1. The AutoScalingRunnerSet Controller calls the APIs one more time to either fetch or create a runner scale set in the {% data variables.product.prodname_actions %} service before creating the Runner ScaleSet Listener resource.
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1. A Runner ScaleSet Listener pod is deployed by the AutoScalingListener Controller. In this pod, the listener application connects to the {% data variables.product.prodname_actions %} Service to authenticate and establish an HTTPS long poll connection. The listener stays idle until it receives a `Job Available` message from the {% data variables.product.prodname_actions %} Service.
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1. When a workflow run is triggered from a repository, the {% data variables.product.prodname_actions %} Service dispatches individual job runs to the runners or runner scalesets where the `runs-on` key matches the name of the runner scaleset or labels of self-hosted runners.
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1. When a workflow run is triggered from a repository, the {% data variables.product.prodname_actions %} Service dispatches individual job runs to the runners or runner scale sets where the `runs-on` key matches the name of the runner scale set or labels of self-hosted runners.
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1. When the Runner ScaleSet Listener receives the `Job Available` message, it checks whether it can scale up to the desired count. If it can, the Runner ScaleSet Listener acknowledges the message.
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1. The Runner ScaleSet Listener uses a Service Account and a Role bound to that account to make an HTTPS call through the Kubernetes APIs to patch the Ephemeral RunnerSet resource with the number of desired replicas count.
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1. The Ephemeral RunnerSet attempts to create new runners and the EphemeralRunner Controller requests a Just-in-Time (JIT) configuration token to register these runners. The controller attempts to create runner pods. If the pod's status is `failed`, the controller retries up to 5 times. After 24 hours the {% data variables.product.prodname_actions %} Service unassigns the job if no runner accepts it.
Copy file name to clipboardExpand all lines: content/actions/hosting-your-own-runners/managing-self-hosted-runners/customizing-the-containers-used-by-jobs.md
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npm install && npm run bootstrap && npm run build-all
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```
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When the resulting `index.js` is triggered by {% data variables.product.prodname_actions %}, it will run the customization commands defined in the JSON files. To trigger the `index.js`, you will need to add it your `ACTIONS_RUNNER_REQUIRE_JOB_CONTAINER` environment variable, as described in the next section.
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When the resulting `index.js` is triggered by {% data variables.product.prodname_actions %}, it will run the customization commands defined in the JSON files. To trigger the `index.js`, you will need to add it to your `ACTIONS_RUNNER_REQUIRE_JOB_CONTAINER` environment variable, as described in the next section.
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