catalog/task/gke-deploy/0.1

gke-deploy Task

This Task deploys an application to a Google Kubernetes Engine cluster using gke-deploy.

Install the Task

kubectl apply -f https://api.hub.tekton.dev/v1/resource/tekton/task/gke-deploy/0.1/raw

Parameters

• ARGS: The arguments to pass to gke-deploy CLI.

  default: ["--help"]

  See here for the arguments to gke-deploy.

Workspaces

• source: The Git source repository that contains your application's Kubernetes configs.

Platforms

The Task can be run on linux/amd64 platform.

Usage

Authorizing gke-deploy commands

See Authorizing gcloud commands for authorizing the gke-deploy Task using a Google IAM Service Account (the instructions describe authorizing gcloud, but the steps are the same).

In order for the gke-deploy Task to deploy to a GKE cluster in your project, the service account that the Task runs as must have the roles/container.developer role, which can be achieved with the command below:

gcloud iam service-accounts [CLUSTER_PROJECT] add-iam-policy-binding \
  --role roles/container.developer\
  --member "serviceAccount:[SERVICE_ACCOUNT_EMAIL]"

Running the Task

You can invoke gke-deploy to deploy manifests in a Git repository by providing a TaskRun:

apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
  name: gke-deploy-repo
spec:
  serviceAccountName: workload-identity-sa  # <-- a SA configured with Workload Identity
  taskRef:
    name: gke-deploy
  workspaces:
  - name: source
    persistentVolumeClaim:
      claimName: my-source
  params:
  - name: ARGS
    value:
    - run
    - --filename="$(inputs.resources.source-repo.path)/[PATH_TO_KUBERNETES_CONFIGS]"
    - --cluster=[CLUSTER_NAME]
    - --location=[CLUSTER_LOCATION]
    - --project=[CLUSTER_PROJECT]

See here for more on how to use the Git Resource.

See here to learn how to access private Git repositories using Tekton.