Chapter 3. Customizing configurations in the TektonConfig custom resource

You can modify the fields under the .spec.pipeline.performance parameter in the TektonConfig custom resource (CR) to change high availability (HA) support and performance configuration for the OpenShift Pipelines controller.

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  pipeline:
    performance:
      disable-ha: false
      buckets: 7
      replicas: 5
      threads-per-controller: 2
      kube-api-qps: 5.0
      kube-api-burst: 10

All fields are optional. If you set them, the Red Hat OpenShift Pipelines Operator includes most of the fields as arguments in the openshift-pipelines-controller deployment under the openshift-pipelines-controller container. The OpenShift Pipelines Operator also updates the buckets field in the config-leader-election configuration map under the openshift-pipelines namespace.

If you do not specify the values, the OpenShift Pipelines Operator does not update those fields and applies the default values for the OpenShift Pipelines controller.

High-availability (HA) mode applies to the OpenShift Pipelines controller, which creates and starts pods based on pipeline run and task run definitions. Without HA mode, a single pod executes these operations, potentially creating significant delays under a high load.

In HA mode, OpenShift Pipelines uses several pods (replicas) to execute these operations. Initially, OpenShift Pipelines assigns every controller operation into a bucket. Each replica picks operations from one or more buckets. If two replicas could pick the same operation at the same time, the controller internally determines a leader that executes this operation.

HA mode does not affect execution of task runs after the pods are created.

$ oc --namespace openshift-pipelines scale deployment openshift-pipelines-controller --replicas=3

You can customize the OpenShift Pipelines control plane by editing the configuration fields in the TektonConfig custom resource (CR). The Red Hat OpenShift Pipelines Operator automatically adds the configuration fields with their default values so that you can use the OpenShift Pipelines control plane.

You can change the default service account for OpenShift Pipelines by editing the default-service-account field in the .spec.pipeline and .spec.trigger specifications. The default service account name is pipeline.

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  pipeline:
    default-service-account: pipeline
  trigger:
    default-service-account: pipeline
    enable-api-fields: stable

You can disable the service monitor, which is part of OpenShift Pipelines, to expose the telemetry data. To disable the service monitor, set the enableMetrics parameter to false in the .spec.pipeline specification of the TektonConfig custom resource (CR):

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  pipeline:
    params:
       - name: enableMetrics
         value: 'false'

You can configure pipeline resolvers in the TektonConfig custom resource (CR). You can enable or disable these pipeline resolvers:

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  pipeline:
    enable-bundles-resolver: true
    enable-cluster-resolver: true
    enable-git-resolver: true
    enable-hub-resolver: true

You can also provide resolver specific configurations in the TektonConfig CR. For example, define the following fields in the map[string]string format to set configurations for each pipeline resolver:

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  pipeline:
    bundles-resolver-config:
      default-service-account: pipelines
    cluster-resolver-config:
      default-namespace: test
    git-resolver-config:
      server-url: localhost.com
    hub-resolver-config:
      default-tekton-hub-catalog: tekton

By default, the TektonAddon custom resource (CR) installs clusterTasks and pipelineTemplates resources along with OpenShift Pipelines on the cluster.

You can disable installation of the clusterTasks and pipelineTemplates resources by setting the parameter value to false in the .spec.addon specification. In addition, you can disable the communityClusterTasks parameter.

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  addon:
    params:
      - name: clusterTasks
        value: 'false'
      - name: pipelineTemplates
        value: 'false'
      - name: communityClusterTasks
        value: 'true'

You can disable the integration of Tekton Hub in the web console Developer perspective by setting the enable-devconsole-integration parameter to false in the TektonConfig custom resource (CR).

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  hub:
    params:
      - name: enable-devconsole-integration
        value: false

The default installation of the Red Hat OpenShift Pipelines Operator creates multiple role-based access control (RBAC) resources for all namespaces in the cluster, except the namespaces matching the ^(openshift|kube)-* regular expression pattern. Among these RBAC resources, the pipelines-scc-rolebinding security context constraint (SCC) role binding resource is a potential security issue, because the associated pipelines-scc SCC has the RunAsAny privilege.

To disable the automatic creation of cluster-wide RBAC resources after the Red Hat OpenShift Pipelines Operator is installed, cluster administrators can set the createRbacResource parameter to false in the cluster-level TektonConfig custom resource (CR).

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
spec:
  params:
  - name: createRbacResource
    value: "false"
...

Stale TaskRun and PipelineRun objects and their executed instances occupy physical resources that can be used for active runs. For optimal utilization of these resources, Red Hat OpenShift Pipelines provides a pruner component that automatically removes unused objects and their instances in various namespaces.

apiVersion: operator.tekton.dev/v1alpha1
kind: TektonConfig
metadata:
  name: config
# ...
spec:
  pruner:
    resources:
      - taskrun
      - pipelinerun
    keep: 100
    prune-per-resource: false
    schedule: "* 8 * * *"
# ...

kind: Namespace
apiVersion: v1
# ...
spec:
  annotations:
    operator.tekton.dev/prune.resources: "taskrun, pipelinerun"
    operator.tekton.dev/prune.keep-since: 7200
# ...