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Component: actions-runner-controller

This component creates a Helm release for actions-runner-controller on an EKS cluster.

Usage​

Stack Level: Regional

Once the catalog file is created, the file can be imported as follows.

import:
  - catalog/eks/actions-runner-controller
  ...

The default catalog values e.g. stacks/catalog/eks/actions-runner-controller.yaml

components:
  terraform:
    eks/actions-runner-controller:
      vars:
        enabled: true
        name: "actions-runner" # avoids hitting name length limit on IAM role
        chart: "actions-runner-controller"
        chart_repository: "https://actions-runner-controller.github.io/actions-runner-controller"
        chart_version: "0.22.0"
        kubernetes_namespace: "actions-runner-system"
        create_namespace: true
        kubeconfig_exec_auth_api_version: "client.authentication.k8s.io/v1beta1"
        # helm_manifest_experiment_enabled feature causes inconsistent final plans with charts that have CRDs
        # see https://github.com/hashicorp/terraform-provider-helm/issues/711#issuecomment-836192991
        helm_manifest_experiment_enabled: false

        ssm_github_secret_path: "/github_runners/controller_github_app_secret"
        github_app_id: "REPLACE_ME_GH_APP_ID"
        github_app_installation_id: "REPLACE_ME_GH_INSTALLATION_ID"

        # use to enable docker config json secret, which can login to dockerhub for your GHA Runners
        docker_config_json_enabled: true
        # The content of this param should look like:
        # {
        #  "auths": {
        #    "https://index.docker.io/v1/": {
        #      "username": "your_username",
        #      "password": "your_password
        #      "email": "your_email",
        #      "auth": "$(echo "your_username:your_password" | base64)"
        #    }
        #  }
        # } | base64
        ssm_docker_config_json_path: "/github_runners/docker/config-json"

        # ssm_github_webhook_secret_token_path: "/github_runners/github_webhook_secret_token"
        # The webhook based autoscaler is much more efficient than the polling based autoscaler
        webhook:
          enabled: true
          hostname_template: "gha-webhook.%[3]v.%[2]v.%[1]v.acme.com"

        eks_component_name: "eks/cluster"
        resources:
          limits:
            cpu: 500m
            memory: 256Mi
          requests:
            cpu: 250m
            memory: 128Mi
        runners:
          infra-runner:
            node_selector:
              kubernetes.io/os: "linux"
              kubernetes.io/arch: "amd64"
            type: "repository" # can be either 'organization' or 'repository'
            dind_enabled: false # If `true`, a Docker sidecar container will be deployed
            # To run Docker in Docker (dind), change image to summerwind/actions-runner-dind
            # If not running Docker, change image to summerwind/actions-runner use a smaller image
            image: summerwind/actions-runner-dind
            # `scope` is org name for Organization runners, repo name for Repository runners
            scope: "org/infra"
            # We can trade the fast-start behavior of min_replicas > 0 for the better guarantee
            # that Karpenter will not terminate the runner while it is running a job.
            #  # Tell Karpenter not to evict this pod. This is only safe when min_replicas is 0.
            #  # If we do not set this, Karpenter will feel free to terminate the runner while it is running a job.
            #  pod_annotations:
            #    karpenter.sh/do-not-evict: "true"
            min_replicas: 1
            max_replicas: 20
            scale_down_delay_seconds: 100
            resources:
              limits:
                cpu: 200m
                memory: 512Mi
              requests:
                cpu: 100m
                memory: 128Mi
            webhook_driven_scaling_enabled: true
            webhook_startup_timeout: "30m"
            pull_driven_scaling_enabled: false
            # Labels are not case-sensitive to GitHub, but *are* case-sensitive
            # to the webhook based autoscaler, which requires exact matches
            # between the `runs-on:` label in the workflow and the runner labels.
            labels:
              - "Linux"
              - "linux"
              - "Ubuntu"
              - "ubuntu"
              - "X64"
              - "x64"
              - "x86_64"
              - "amd64"
              - "AMD64"
              - "core-auto"
              - "common"
          # Uncomment this additional runner if you want to run a second
          # runner pool for `arm64` architecture
          #infra-runner-arm64:
          #  node_selector:
          #    kubernetes.io/os: "linux"
          #    kubernetes.io/arch: "arm64"
          #  # Add the corresponding taint to the Kubernetes nodes running `arm64` architecture
          #  # to prevent Kubernetes pods without node selectors from being scheduled on them.
          #  tolerations:
          #  - key: "kubernetes.io/arch"
          #    operator: "Equal"
          #    value: "arm64"
          #    effect: "NoSchedule"
          #  type: "repository" # can be either 'organization' or 'repository'
          #  dind_enabled: false # If `true`, a Docker sidecar container will be deployed
          #  # To run Docker in Docker (dind), change image to summerwind/actions-runner-dind
          #  # If not running Docker, change image to summerwind/actions-runner use a smaller image
          #  image: summerwind/actions-runner-dind
          #  # `scope` is org name for Organization runners, repo name for Repository runners
          #  scope: "org/infra"
          #  group: "ArmRunners"
          #  # Tell Karpenter not to evict this pod. This is only safe when min_replicas is 0.
          #  # If we do not set this, Karpenter will feel free to terminate the runner while it is running a job.
          #  pod_annotations:
          #    karpenter.sh/do-not-evict: "true"
          #  min_replicas: 0
          #  max_replicas: 20
          #  scale_down_delay_seconds: 100
          #  resources:
          #    limits:
          #      cpu: 200m
          #      memory: 512Mi
          #    requests:
          #      cpu: 100m
          #      memory: 128Mi
          #  webhook_driven_scaling_enabled: true
          #  webhook_startup_timeout: "30m"
          #  pull_driven_scaling_enabled: false
          #  # Labels are not case-sensitive to GitHub, but *are* case-sensitive
          #  # to the webhook based autoscaler, which requires exact matches
          #  # between the `runs-on:` label in the workflow and the runner labels.
          #  # Leave "common" off the list so that "common" jobs are always
          #  # scheduled on the amd64 runners. This is because the webhook
          #  # based autoscaler will not scale a runner pool if the
          #  # `runs-on:` labels in the workflow match more than one pool.
          #  labels:
          #    - "Linux"
          #    - "linux"
          #    - "Ubuntu"
          #    - "ubuntu"
          #    - "amd64"
          #    - "AMD64"
          #    - "core-auto"

Generating Required Secrets​

AWS SSM is used to store and retrieve secrets.

Decide on the SSM path for the GitHub secret (PAT or Application private key) and GitHub webhook secret.

Since the secret is automatically scoped by AWS to the account and region where the secret is stored, we recommend the secret be stored at /github_runners/controller_github_app_secret unless you plan on running multiple instances of the controller. If you plan on running multiple instances of the controller, and want to give them different access (otherwise they could share the same secret), then you can add a path component to the SSM path. For example /github_runners/cicd/controller_github_app_secret.

ssm_github_secret_path: "/github_runners/controller_github_app_secret"

The preferred way to authenticate is by creating and installing a GitHub App. This is the recommended approach as it allows for more much more restricted access than using a personal access token, at least until fine-grained personal access token permissions are generally available. Follow the instructions here to create and install the GitHub App.

At the creation stage, you will be asked to generate a private key. This is the private key that will be used to authenticate the Action Runner Controller. Download the file and store the contents in SSM using the following command, adjusting the profile and file name. The profile should be the admin role in the account to which you are deploying the runner controller. The file name should be the name of the private key file you downloaded.

AWS_PROFILE=acme-mgmt-use2-auto-admin chamber write github_runners controller_github_app_secret -- "$(cat APP_NAME.DATE.private-key.pem)"

You can verify the file was correctly written to SSM by matching the private key fingerprint reported by GitHub with:

AWS_PROFILE=acme-mgmt-use2-auto-admin chamber read -q github_runners controller_github_app_secret | openssl rsa -in - -pubout -outform DER | openssl sha256 -binary | openssl base64

At this stage, record the Application ID and the private key fingerprint in your secrets manager (e.g. 1Password). You will need the Application ID to configure the runner controller, and want the fingerprint to verify the private key.

Proceed to install the GitHub App in the organization or repository you want to use the runner controller for, and record the Installation ID (the final numeric part of the URL, as explained in the instructions linked above) in your secrets manager. You will need the Installation ID to configure the runner controller.

In your stack configuration, set the following variables, making sure to quote the values so they are treated as strings, not numbers.

github_app_id: "12345"
github_app_installation_id: "12345"

OR (obsolete)

  • A PAT with the scope outlined in this document. Save this to the value specified by ssm_github_token_path using the following command, adjusting the AWS_PROFILE to refer to the admin role in the account to which you are deploying the runner controller:
AWS_PROFILE=acme-mgmt-use2-auto-admin chamber write github_runners controller_github_app_secret -- "<PAT>"
  1. If using the Webhook Driven autoscaling (recommended), generate a random string to use as the Secret when creating the webhook in GitHub.

Generate the string using 1Password (no special characters, length 45) or by running

dd if=/dev/random bs=1 count=33  2>/dev/null | base64

Store this key in AWS SSM under the same path specified by ssm_github_webhook_secret_token_path

ssm_github_webhook_secret_token_path: "/github_runners/github_webhook_secret"

Dockerhub Authentication​

Authenticating with Dockerhub is optional but when enabled can ensure stability by increasing the number of pulls allowed from your runners.

To get started set docker_config_json_enabled to true and ssm_docker_config_json_path to the SSM path where the credentials are stored, for example github_runners/docker.

To create the credentials file, fill out a JSON file locally with the following content:

{
  "auths": {
    "https://index.docker.io/v1/": {
      "username": "your_username",
      "password": "your_password",
      "email": "your_email",
      "auth": "$(echo "your_username: your_password" | base64)"
    }
  }
}

Then write the file to SSM with the following Atmos Workflow:

save/docker-config-json:
  description: Prompt for uploading Docker Config JSON to the AWS SSM Parameter Store
  steps:
    - type: shell
      command: |-
        echo "Please enter the Docker Config JSON file path"
        echo "See https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry for information on how to create the file"
        read -p "Docker Config JSON file path: " -r DOCKER_CONFIG_JSON_FILE_PATH
        if [ -z "DOCKER_CONFIG_JSON_FILE_PATH" ]
        then
            echo 'Inputs cannot be blank please try again!'
            exit 0
        fi

        DOCKER_CONFIG_JSON=$(<$DOCKER_CONFIG_JSON_FILE_PATH);
        ENCODED_DOCKER_CONFIG_JSON=$(echo "$DOCKER_CONFIG_JSON" | base64 -w 0 );

        echo $DOCKER_CONFIG_JSON
        echo $ENCODED_DOCKER_CONFIG_JSON

        AWS_PROFILE=acme-core-gbl-auto-admin

        set -e

        chamber write github_runners/docker config-json -- "$ENCODED_DOCKER_CONFIG_JSON"

        echo 'Saved Docker Config JSON to the AWS SSM Parameter Store'

Don't forget to update the AWS Profile in the script.

Using Runner Groups​

GitHub supports grouping runners into distinct Runner Groups, which allow you to have different access controls for different runners. Read the linked documentation about creating and configuring Runner Groups, which you must do through the GitHub Web UI. If you choose to create Runner Groups, you can assign one or more Runner pools (from the runners map) to groups (only one group per runner pool) by including group: <Runner Group Name> in the runner configuration. We recommend including it immediately after scope.

We recommend using Webhook Driven Autoscaling until GitHub releases their own autoscaling solution (said to be "in the works" as of April 2023).

To use the Webhook Driven Autoscaling, in addition to setting webhook_driven_scaling_enabled to true, you must also install the GitHub organization-level webhook after deploying the component (specifically, the webhook server). The URL for the webhook is determined by the webhook.hostname_template and where it is deployed. Recommended URL is https://gha-webhook.[environment].[stage].[tenant].[service-discovery-domain].

As a GitHub organization admin, go to https://github.com/organizations/[organization]/settings/hooks, and then:

  • Click"Add webhook" and create a new webhook with the following settings:
    • Payload URL: copy from Terraform output webhook_payload_url
    • Content type: application/json
    • Secret: whatever you configured in the sops secret above
    • Which events would you like to trigger this webhook:
      • Select "Let me select individual events"
      • Uncheck everything ("Pushes" is likely the only thing already selected)
      • Check "Workflow jobs"
    • Ensure that "Active" is checked (should be checked by default)
    • Click "Add webhook" at the bottom of the settings page

After the webhook is created, select "edit" for the webhook and go to the "Recent Deliveries" tab and verify that there is a delivery (of a "ping" event) with a green check mark. If not, verify all the settings and consult the logs of the actions-runner-controller-github-webhook-server pod.

Configuring Webhook Driven Autoscaling​

The HorizontalRunnerAutoscaler scaleUpTriggers.duration (see [Webhook Driven Scaling documentation](https://github. com/actions/actions-runner-controller/blob/master/docs/automatically-scaling-runners.md#webhook-driven-scaling)) is controlled by the webhook_startup_timeout setting for each Runner. The purpose of this timeout is to ensure, in case a job cancellation or termination event gets missed, that the resulting idle runner eventually gets terminated.

How the Autoscaler Determines the Desired Runner Pool Size​

When a job is queued, a capacityReservation is created for it. The HRA (Horizontal Runner Autoscaler) sums up all the capacity reservations to calculate the desired size of the runner pool, subject to the limits of minReplicas and maxReplicas. The idea is that a capacityReservation is deleted when a job is completed or canceled, and the pool size will be equal to jobsStarted - jobsFinished. However, it can happen that a job will finish without the HRA being successfully notified about it, so as a safety measure, the capacityReservation will expire after a configurable amount of time, at which point it will be deleted without regard to the job being finished. This ensures that eventually an idle runner pool will scale down to minReplicas.

If it happens that the capacity reservation expires before the job is finished, the Horizontal Runner Autoscaler (HRA) will scale down the pool by 2 instead of 1: once because the capacity reservation expired, and once because the job finished. This will also cause starvation of waiting jobs, because the next in line will have its timeout timer started but will not actually start running because no runner is available. And if minReplicas is set to zero, the pool will scale down to zero before finishing all the jobs, leaving some waiting indefinitely. This is why it is important to set the webhook_startup_timeout to a time long enough to cover the full time a job may have to wait between the time it is queued and the time it finishes, assuming that the HRA scales up the pool by 1 and runs the job on the new runner.

If there are more jobs queued than there are runners allowed by maxReplicas, the timeout timer does not start

on the capacity reservation until enough reservations ahead of it are removed for it to be considered as representing and active job. Although there are some edge cases regarding webhook_startup_timeout that seem not to be covered properly (see actions-runner-controller issue #2466), they only merit adding a few extra minutes to the timeout.

Consequences of Too Short of a webhook_startup_timeout Duration​

If you set webhook_startup_timeout to too short a duration, the Horizontal Runner Autoscaler will cancel capacity reservations for jobs that have not yet finished, and the pool will become too small. This will be most serious if you have set minReplicas = 0 because in this case, jobs will be left in the queue indefinitely. With a higher value of minReplicas, the pool will eventually make it through all the queued jobs, but not as quickly as intended due to the incorrectly reduced capacity.

Consequences of Too Long of a webhook_startup_timeout Duration​

If the Horizontal Runner Autoscaler misses a scale-down event (which can happen because events do not have delivery guarantees), a runner may be left running idly for as long as the webhook_startup_timeout duration. The only problem with this is the added expense of leaving the idle runner running.

Recommendation​

As a result, we recommend setting webhook_startup_timeout to a period long enough to cover:

  • The time it takes for the HRA to scale up the pool and make a new runner available
  • The time it takes for the runner to pick up the job from GitHub
  • The time it takes for the job to start running on the new runner
  • The maximum time a job might take

Because the consequences of expiring a capacity reservation before the job is finished are so severe, we recommend setting webhook_startup_timeout to a period at least 30 minutes longer than you expect the longest job to take. Remember, when everything works properly, the HRA will scale down the pool as jobs finish, so there is little cost to setting a long duration, and the cost looks even smaller by comparison to the cost of having too short a duration.

For lightly used runner pools expecting only short jobs, you can set webhook_startup_timeout to "30m". As a rule of thumb, we recommend setting maxReplicas high enough that jobs never wait on the queue more than an hour.

Interaction with Karpenter or other EKS autoscaling solutions​

Kubernetes cluster autoscaling solutions generally expect that a Pod runs a service that can be terminated on one Node and restarted on another with only a short duration needed to finish processing any in-flight requests. When the cluster is resized, the cluster autoscaler will do just that. However, GitHub Action Runner Jobs do not fit this model. If a Pod is terminated in the middle of a job, the job is lost. The likelihood of this happening is increased by the fact that the Action Runner Controller Autoscaler is expanding and contracting the size of the Runner Pool on a regular basis, causing the cluster autoscaler to more frequently want to scale up or scale down the EKS cluster, and, consequently, to move Pods around.

To handle these kinds of situations, Karpenter respects an annotation on the Pod:

spec:
  template:
    metadata:
      annotations:
        karpenter.sh/do-not-evict: "true"

When you set this annotation on the Pod, Karpenter will not evict it. This means that the Pod will stay on the Node it is on, and the Node it is on will not be considered for eviction. This is good because it means that the Pod will not be terminated in the middle of a job. However, it also means that the Node the Pod is on will not be considered for termination, which means that the Node will not be removed from the cluster, which means that the cluster will not shrink in size when you would like it to.

Since the Runner Pods terminate at the end of the job, this is not a problem for the Pods actually running jobs. However, if you have set minReplicas > 0, then you have some Pods that are just idling, waiting for jobs to be assigned to them. These Pods are exactly the kind of Pods you want terminated and moved when the cluster is underutilized. Therefore, when you set minReplicas > 0, you should NOT set karpenter.sh/do-not-evict: "true" on the Pod.

We have requested a feature that will allow you to set karpenter.sh/do-not-evict: "true" and minReplicas > 0 at the same time by only annotating Pods running jobs. Meanwhile, another option is to set minReplicas = 0 on a schedule using an ARC Autoscaler scheduled override. At present, this component does not support that option, but it could be added in the future if our preferred solution is not implemented.

Updating CRDs​

When updating the chart or application version of actions-runner-controller, it is possible you will need to install new CRDs. Such a requirement should be indicated in the actions-runner-controller release notes and may require some adjustment to our custom chart or configuration.

This component uses helm to manage the deployment, and helm will not auto-update CRDs. If new CRDs are needed, install them manually via a command like

kubectl create -f https://raw.githubusercontent.com/actions-runner-controller/actions-runner-controller/master/charts/actions-runner-controller/crds/actions.summerwind.dev_horizontalrunnerautoscalers.yaml

Useful Reference​

Consult actions-runner-controller documentation for further details.

Requirements​

NameVersion
terraform>= 1.3.0
aws>= 4.9.0
helm>= 2.0
kubernetes>= 2.0, != 2.21.0

Providers​

NameVersion
aws>= 4.9.0

Modules​

NameSourceVersion
actions_runnercloudposse/helm-release/aws0.10.0
actions_runner_controllercloudposse/helm-release/aws0.10.0
ekscloudposse/stack-config/yaml//modules/remote-state1.5.0
iam_roles../../account-map/modules/iam-rolesn/a
thiscloudposse/label/null0.25.0

Resources​

NameType
aws_eks_cluster_auth.eksdata source
aws_ssm_parameter.docker_config_jsondata source
aws_ssm_parameter.github_tokendata source
aws_ssm_parameter.github_webhook_secret_tokendata source

Inputs​

NameDescriptionTypeDefaultRequired
additional_tag_mapAdditional key-value pairs to add to each map in tags_as_list_of_maps. Not added to tags or id.
This is for some rare cases where resources want additional configuration of tags
and therefore take a list of maps with tag key, value, and additional configuration.		map(string){}no
atomicIf set, installation process purges chart on fail. The wait flag will be set automatically if atomic is used.booltrueno
attributesID element. Additional attributes (e.g. workers or cluster) to add to id,
in the order they appear in the list. New attributes are appended to the
end of the list. The elements of the list are joined by the delimiter
and treated as a single ID element.		list(string)[]no
chartChart name to be installed. The chart name can be local path, a URL to a chart, or the name of the chart if repository is specified. It is also possible to use the <repository>/<chart> format here if you are running Terraform on a system that the repository has been added to with helm repo add but this is not recommended.stringn/ayes
chart_descriptionSet release description attribute (visible in the history).stringnullno
chart_repositoryRepository URL where to locate the requested chart.stringn/ayes
chart_valuesAdditional values to yamlencode as helm_release values.any{}no
chart_versionSpecify the exact chart version to install. If this is not specified, the latest version is installed.stringnullno
cleanup_on_failAllow deletion of new resources created in this upgrade when upgrade fails.booltrueno
contextSingle object for setting entire context at once.
See description of individual variables for details.
Leave string and numeric variables as null to use default value.
Individual variable settings (non-null) override settings in context object,
except for attributes, tags, and additional_tag_map, which are merged.		any
{
  "additional_tag_map": {},
  "attributes": [],
  "delimiter": null,
  "descriptor_formats": {},
  "enabled": true,
  "environment": null,
  "id_length_limit": null,
  "label_key_case": null,
  "label_order": [],
  "label_value_case": null,
  "labels_as_tags": [
    "unset"
  ],
  "name": null,
  "namespace": null,
  "regex_replace_chars": null,
  "stage": null,
  "tags": {},
  "tenant": null
}
no
context_tags_enabledWhether or not to include all context tags as labels for each runnerboolfalseno
create_namespaceCreate the namespace if it does not yet exist. Defaults to false.boolnullno
delimiterDelimiter to be used between ID elements.
Defaults to - (hyphen). Set to "" to use no delimiter at all.		stringnullno
descriptor_formatsDescribe additional descriptors to be output in the descriptors output map.
Map of maps. Keys are names of descriptors. Values are maps of the form
{<br/> format = string<br/> labels = list(string)<br/>}
(Type is any so the map values can later be enhanced to provide additional options.)
format is a Terraform format string to be passed to the format() function.
labels is a list of labels, in order, to pass to format() function.
Label values will be normalized before being passed to format() so they will be
identical to how they appear in id.
Default is {} (descriptors output will be empty).		any{}no
docker_config_json_enabledWhether the Docker config JSON is enabledboolfalseno
eks_component_nameThe name of the eks componentstring"eks/cluster"no
enabledSet to false to prevent the module from creating any resourcesboolnullno
environmentID element. Usually used for region e.g. 'uw2', 'us-west-2', OR role 'prod', 'staging', 'dev', 'UAT'stringnullno
existing_kubernetes_secret_nameIf you are going to create the Kubernetes Secret the runner-controller will use
by some means (such as SOPS) outside of this component, set the name of the secret
here and it will be used. In this case, this component will not create a secret
and you can leave the secret-related inputs with their default (empty) values.
The same secret will be used by both the runner-controller and the webhook-server.		string""no
github_app_idThe ID of the GitHub App to use for the runner controller.string""no
github_app_installation_idThe "Installation ID" of the GitHub App to use for the runner controller.string""no
helm_manifest_experiment_enabledEnable storing of the rendered manifest for helm_release so the full diff of what is changing can been seen in the planboolfalseno
id_length_limitLimit id to this many characters (minimum 6).
Set to 0 for unlimited length.
Set to null for keep the existing setting, which defaults to 0.
Does not affect id_full.		numbernullno
kube_data_auth_enabledIf true, use an aws_eks_cluster_auth data source to authenticate to the EKS cluster.
Disabled by kubeconfig_file_enabled or kube_exec_auth_enabled.		boolfalseno
kube_exec_auth_aws_profileThe AWS config profile for aws eks get-token to usestring""no
kube_exec_auth_aws_profile_enabledIf true, pass kube_exec_auth_aws_profile as the profile to aws eks get-tokenboolfalseno
kube_exec_auth_enabledIf true, use the Kubernetes provider exec feature to execute aws eks get-token to authenticate to the EKS cluster.
Disabled by kubeconfig_file_enabled, overrides kube_data_auth_enabled.		booltrueno
kube_exec_auth_role_arnThe role ARN for aws eks get-token to usestring""no
kube_exec_auth_role_arn_enabledIf true, pass kube_exec_auth_role_arn as the role ARN to aws eks get-tokenbooltrueno
kubeconfig_contextContext to choose from the Kubernetes kube config filestring""no
kubeconfig_exec_auth_api_versionThe Kubernetes API version of the credentials returned by the exec auth pluginstring"client.authentication.k8s.io/v1beta1"no
kubeconfig_fileThe Kubernetes provider config_path setting to use when kubeconfig_file_enabled is truestring""no
kubeconfig_file_enabledIf true, configure the Kubernetes provider with kubeconfig_file and use that kubeconfig file for authenticating to the EKS clusterboolfalseno
kubernetes_namespaceThe namespace to install the release into.stringn/ayes
label_key_caseControls the letter case of the tags keys (label names) for tags generated by this module.
Does not affect keys of tags passed in via the tags input.
Possible values: lower, title, upper.
Default value: title.		stringnullno
label_orderThe order in which the labels (ID elements) appear in the id.
Defaults to ["namespace", "environment", "stage", "name", "attributes"].
You can omit any of the 6 labels ("tenant" is the 6th), but at least one must be present.		list(string)nullno
label_value_caseControls the letter case of ID elements (labels) as included in id,
set as tag values, and output by this module individually.
Does not affect values of tags passed in via the tags input.
Possible values: lower, title, upper and none (no transformation).
Set this to title and set delimiter to "" to yield Pascal Case IDs.
Default value: lower.		stringnullno
labels_as_tagsSet of labels (ID elements) to include as tags in the tags output.
Default is to include all labels.
Tags with empty values will not be included in the tags output.
Set to [] to suppress all generated tags.
Notes:
The value of the name tag, if included, will be the id, not the name.
Unlike other null-label inputs, the initial setting of labels_as_tags cannot be
changed in later chained modules. Attempts to change it will be silently ignored.		set(string)
[
  "default"
]
no
nameID element. Usually the component or solution name, e.g. 'app' or 'jenkins'.
This is the only ID element not also included as a tag.
The "name" tag is set to the full id string. There is no tag with the value of the name input.		stringnullno
namespaceID element. Usually an abbreviation of your organization name, e.g. 'eg' or 'cp', to help ensure generated IDs are globally uniquestringnullno
rbac_enabledService Account for pods.booltrueno
regex_replace_charsTerraform regular expression (regex) string.
Characters matching the regex will be removed from the ID elements.
If not set, "/[^a-zA-Z0-9-]/" is used to remove all characters other than hyphens, letters and digits.		stringnullno
regionAWS Region.stringn/ayes
resourcesThe cpu and memory of the deployment's limits and requests.
object({
    limits = object({
      cpu    = string
      memory = string
    })
    requests = object({
      cpu    = string
      memory = string
    })
  })
n/ayes
runnersMap of Action Runner configurations, with the key being the name of the runner. Please note that the name must be in
kebab-case.

For example:
hcl
organization_runner = {
  type = "organization" # can be either 'organization' or 'repository'
  dind_enabled: false # A Docker sidecar container will be deployed
  image: summerwind/actions-runner # If dind_enabled=true, set this to 'summerwind/actions-runner-dind'
  scope = "ACME"  # org name for Organization runners, repo name for Repository runners
  group = "core-automation" # Optional. Assigns the runners to a runner group, for access control.
  scale_down_delay_seconds = 300
  min_replicas = 1
  max_replicas = 5
  busy_metrics = {
    scale_up_threshold = 0.75
    scale_down_threshold = 0.25
    scale_up_factor = 2
    scale_down_factor = 0.5
  }
  labels = [
    "Ubuntu",
    "core-automation",
  ]
}
map(object({
    type            = string
    scope           = string
    group           = optional(string, null)
    image           = optional(string, "")
    dind_enabled    = bool
    node_selector   = optional(map(string), {})
    pod_annotations = optional(map(string), {})
    tolerations = optional(list(object({
      key      = string
      operator = string
      value    = optional(string, null)
      effect   = string
    })), [])
    scale_down_delay_seconds = number
    min_replicas             = number
    max_replicas             = number
    busy_metrics = optional(object({
      scale_up_threshold    = string
      scale_down_threshold  = string
      scale_up_adjustment   = optional(string)
      scale_down_adjustment = optional(string)
      scale_up_factor       = optional(string)
      scale_down_factor     = optional(string)
    }))
    webhook_driven_scaling_enabled = bool
    webhook_startup_timeout        = optional(string, null)
    pull_driven_scaling_enabled    = bool
    labels                         = list(string)
    storage                        = optional(string, null)
    pvc_enabled                    = optional(bool, false)
    resources = object({
      limits = object({
        cpu               = string
        memory            = string
        ephemeral_storage = optional(string, null)
      })
      requests = object({
        cpu    = string
        memory = string
      })
    })
  }))
n/ayes
s3_bucket_arnsList of ARNs of S3 Buckets to which the runners will have read-write access to.list(string)[]no
ssm_docker_config_json_pathSSM path to the Docker config JSONstringnullno
ssm_github_secret_pathThe path in SSM to the GitHub app private key file contents or GitHub PAT token.string""no
ssm_github_webhook_secret_token_pathThe path in SSM to the GitHub Webhook Secret token.string""no
stageID element. Usually used to indicate role, e.g. 'prod', 'staging', 'source', 'build', 'test', 'deploy', 'release'stringnullno
tagsAdditional tags (e.g. {'BusinessUnit': 'XYZ'}).
Neither the tag keys nor the tag values will be modified by this module.		map(string){}no
tenantID element _(Rarely used, not included by default)_. A customer identifier, indicating who this instance of a resource is forstringnullno
timeoutTime in seconds to wait for any individual kubernetes operation (like Jobs for hooks). Defaults to 300 secondsnumbernullno
waitWill wait until all resources are in a ready state before marking the release as successful. It will wait for as long as timeout. Defaults to true.boolnullno
webhookConfiguration for the GitHub Webhook Server.
hostname_template is the format() string to use to generate the hostname via format(var.hostname_template, var.tenant, var.stage, var.environment)"
Typically something like "echo.%[3]v.%[2]v.example.com".
queue_limit is the maximum number of webhook events that can be queued up processing by the autoscaler.
When the queue gets full, webhook events will be dropped (status 500).
object({
    enabled           = bool
    hostname_template = string
    queue_limit       = optional(number, 100)
  })
{
  "enabled": false,
  "hostname_template": null,
  "queue_limit": 100
}
no

Outputs​

NameDescription
metadataBlock status of the deployed release
metadata_action_runner_releasesBlock statuses of the deployed actions-runner chart releases
webhook_payload_urlPayload URL for GitHub webhook

References​