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Tekton Pipelines Tutorial

This tutorial uses a simple Hello World example to show you how to:

  • Create a Task
  • Create a Pipeline containing your Tasks
  • Use a TaskRun to instantiate and execute a Task outside of a Pipeline
  • Use a PipelineRun to instantiate and run a Pipeline containing your Tasks

This tutorial consists of the following sections:

Note: Items requiring configuration are marked with the #configure annotation. This includes Docker registries, log output locations, and other configuration items specific to a given cloud computing service.

Before you begin

Before you begin this tutorial, make sure you have installed and configured the latest release of Tekton on your Kubernetes cluster, including the Tekton CLI.

If you would like to complete this tutorial on your local workstation, see Running this tutorial locally. To learn more about the Tekton entities involved in this tutorial, see Further reading.

Creating and running a Task

A Task defines a series of steps that run in a desired order and complete a set amount of build work. Every Task runs as a Pod on your Kubernetes cluster with each step as its own container. For example, the following Task outputs "Hello World":

apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: echo-hello-world
spec:
  steps:
    - name: echo
      image: ubuntu
      command:
        - echo
      args:
        - "Hello World"

Apply your Task YAML file as follows:

kubectl apply -f <name-of-task-file.yaml>

To see details about your created Task, use the following command:

tkn task describe echo-hello-world

The output will look similar to the following:

Name:        echo-hello-world
Namespace:   default

📨 Input Resources

 No input resources

📡 Output Resources

 No output resources

⚓ Params

 No params

🦶 Steps

 ∙ echo

🗂  Taskruns

 No taskruns

To run this Task, instantiate it using a TaskRun:

apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
  name: echo-hello-world-task-run
spec:
  taskRef:
    name: echo-hello-world

Apply your TaskRun YAML file as follows:

kubectl apply -f <name-of-taskrun-file.yaml>

To check whether running your TaskRun succeeded, use the following command:

tkn taskrun describe echo-hello-world-task-run

The output will look similar to the following:

Name:        echo-hello-world-task-run
Namespace:   default
Task Ref:    echo-hello-world

Status
STARTED         DURATION    STATUS
4 minutes ago   9 seconds   Succeeded

Input Resources
No resources

Output Resources
No resources

Params
No params

Steps
NAME
echo

The Succeeded status confirms that the TaskRun completed with no errors.

To see more detail about the execution of your TaskRun, view its logs as follows:

tkn taskrun logs echo-hello-world-task-run

The output will look similar to the following:

[echo] hello world

Specifying Task inputs and outputs

In more complex scenarios, a Task requires you to define inputs and outputs. For example, a Task could fetch source code from a GitHub repository and build a Docker image from it.

Use one or more PipelineResources to define the artifacts you want to pass in and out of your Task. The following are examples of the most commonly needed resources.

The git resource specifies a git repository with a specific revision from which the Task will pull the source code:

apiVersion: tekton.dev/v1alpha1
kind: PipelineResource
metadata:
  name: skaffold-git
spec:
  type: git
  params:
    - name: revision
      value: master
    - name: url
      value: https://github.com/GoogleContainerTools/skaffold #configure: change if you want to build something else, perhaps from your own local git repository.

The image resource specifies the repository to which the image built by the Task will be pushed:

apiVersion: tekton.dev/v1alpha1
kind: PipelineResource
metadata:
  name: skaffold-image-leeroy-web
spec:
  type: image
  params:
    - name: url
      value: gcr.io/<use your project>/leeroy-web #configure: replace with where the image should go: perhaps your local registry or Dockerhub with a secret and configured service account

In the following example, you can see a Task definition with the git input and image output introduced earlier. The arguments of the Task command support variable substitution so that the Task definition is constant and the value of parameters can change during runtime.

apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: build-docker-image-from-git-source
spec:
  params:
    - name: pathToDockerFile
      type: string
      description: The path to the dockerfile to build
      default: $(resources.inputs.docker-source.path)/Dockerfile
    - name: pathToContext
      type: string
      description: |
        The build context used by Kaniko
        (https://github.com/GoogleContainerTools/kaniko#kaniko-build-contexts)
      default: $(resources.inputs.docker-source.path)
  resources:
    inputs:
      - name: docker-source
        type: git
    outputs:
      - name: builtImage
        type: image
  steps:
    - name: build-and-push
      image: gcr.io/kaniko-project/executor:v0.16.0
      # specifying DOCKER_CONFIG is required to allow kaniko to detect docker credential
      env:
        - name: "DOCKER_CONFIG"
          value: "/tekton/home/.docker/"
      command:
        - /kaniko/executor
      args:
        - --dockerfile=$(params.pathToDockerFile)
        - --destination=$(resources.outputs.builtImage.url)
        - --context=$(params.pathToContext)

Configuring Task execution credentials

Before you can execute your TaskRun, you must create a secret to push your image to your desired image registry:

kubectl create secret docker-registry regcred \
                    --docker-server=<your-registry-server> \
                    --docker-username=<your-name> \
                    --docker-password=<your-pword> \
                    --docker-email=<your-email>

You must also specify a ServiceAccount that uses this secret to execute your TaskRun:

apiVersion: v1
kind: ServiceAccount
metadata:
  name: tutorial-service
secrets:
  - name: regcred

Save the ServiceAccount definition above to a file and apply the YAML file to make the ServiceAccount available for your TaskRun:

kubectl apply -f <name-of-file.yaml>

Running your Task

You are now ready for your first TaskRun!

A TaskRun binds the inputs and outputs to already defined PipelineResources, sets values for variable substitution parameters, and executes the Steps in the Task.

apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
  name: build-docker-image-from-git-source-task-run
spec:
  serviceAccountName: tutorial-service
  taskRef:
    name: build-docker-image-from-git-source
  params:
    - name: pathToDockerFile
      value: Dockerfile
    - name: pathToContext
      value: $(resources.inputs.docker-source.path)/examples/microservices/leeroy-web #configure: may change according to your source
  resources:
    inputs:
      - name: docker-source
        resourceRef:
          name: skaffold-git
    outputs:
      - name: builtImage
        resourceRef:
          name: skaffold-image-leeroy-web

Save the YAML files that contain your Task, TaskRun, and PipelineResource definitions and apply them using the following command:

kubectl apply -f <name-of-file.yaml>

To examine the resources you've created so far, use the following command:

kubectl get tekton-pipelines

The output will look similar to the following:

NAME                                                   AGE
taskruns/build-docker-image-from-git-source-task-run   30s

NAME                                          AGE
pipelineresources/skaffold-git                6m
pipelineresources/skaffold-image-leeroy-web   7m

NAME                                       AGE
tasks/build-docker-image-from-git-source   7m

To see the result of executing your TaskRun, use the following command:

tkn taskrun describe build-docker-image-from-git-source-task-run

The output will look similar to the following:

Name:        build-docker-image-from-git-source-task-run
Namespace:   default
Task Ref:    build-docker-image-from-git-source

Status
STARTED       DURATION     STATUS
2 hours ago   56 seconds   Succeeded

Input Resources
NAME            RESOURCE REF
docker-source   skaffold-git

Output Resources
NAME         RESOURCE REF
builtImage   skaffold-image-leeroy-web

Params
NAME               VALUE
pathToDockerFile   Dockerfile
pathToContext      /workspace/docker-source/examples/microservices/leeroy-web

Steps
NAME
build-and-push
create-dir-builtimage-wtjh9
git-source-skaffold-git-tck6k
image-digest-exporter-hlbsq

The Succeeded status indicates the Task has completed with no errors. You can also confirm that the output Docker image has been created in the location specified in the resource definition.

To view detailed information about the execution of your TaskRun, view the logs:

tkn taskrun logs build-docker-image-from-git-source-task-run

Creating and running a Pipeline

A Pipeline defines an ordered series of Tasks that you want to execute along with the corresponding inputs and outputs for each Task. You can specify whether the output of one Task is used as an input for the next Task using the from property. Pipelines offer the same variable substitution as Tasks.

Below is an example definition of a Pipeline:

apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: tutorial-pipeline
spec:
  resources:
    - name: source-repo
      type: git
    - name: web-image
      type: image
  tasks:
    - name: build-skaffold-web
      taskRef:
        name: build-docker-image-from-git-source
      params:
        - name: pathToDockerFile
          value: Dockerfile
        - name: pathToContext
          value: /workspace/docker-source/examples/microservices/leeroy-web #configure: may change according to your source
      resources:
        inputs:
          - name: docker-source
            resource: source-repo
        outputs:
          - name: builtImage
            resource: web-image
    - name: deploy-web
      taskRef:
        name: deploy-using-kubectl
      resources:
        inputs:
          - name: source
            resource: source-repo
          - name: image
            resource: web-image
            from:
              - build-skaffold-web
      params:
        - name: path
          value: /workspace/source/examples/microservices/leeroy-web/kubernetes/deployment.yaml #configure: may change according to your source
        - name: yamlPathToImage
          value: "spec.template.spec.containers[0].image"

The above Pipeline is referencing a Task called deploy-using-kubectl defined as follows:

apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: deploy-using-kubectl
spec:
  params:
    - name: path
      type: string
      description: Path to the manifest to apply
    - name: yamlPathToImage
      type: string
      description: |
        The path to the image to replace in the yaml manifest (arg to yq)
  resources:
    inputs:
      - name: source
        type: git
      - name: image
        type: image
  steps:
    - name: replace-image
      image: mikefarah/yq
      command: ["yq"]
      args:
        - "w"
        - "-i"
        - "$(params.path)"
        - "$(params.yamlPathToImage)"
        - "$(resources.inputs.image.url)"
    - name: run-kubectl
      image: lachlanevenson/k8s-kubectl
      command: ["kubectl"]
      args:
        - "apply"
        - "-f"
        - "$(params.path)"

Configuring Pipeline execution credentials

The run-kubectl step in the above example requires additional permissions. You must grant those permissions to your ServiceAccount.

First, create a new role called tutorial-role:

kubectl create clusterrole tutorial-role \
               --verb=* \
               --resource=deployments,deployments.apps

Next, assign this new role to your ServiceAccount:

kubectl create clusterrolebinding tutorial-binding \
             --clusterrole=tutorial-role \
             --serviceaccount=default:tutorial-service

To run your Pipeline, instantiate it with a PipelineRun as follows:

apiVersion: tekton.dev/v1beta1
kind: PipelineRun
metadata:
  name: tutorial-pipeline-run-1
spec:
  serviceAccountName: tutorial-service
  pipelineRef:
    name: tutorial-pipeline
  resources:
    - name: source-repo
      resourceRef:
        name: skaffold-git
    - name: web-image
      resourceRef:
        name: skaffold-image-leeroy-web

The PipelineRun automatically defines a corresponding TaskRun for each Task you have defined in your Pipeline collects the results of executing each TaskRun. In our example, the TaskRun order is as follows:

  1. tutorial-pipeline-run-1-build-skaffold-web runs build-skaffold-web, since it has no from or runAfter clauses.
  2. tutorial-pipeline-run-1-deploy-web runs deploy-web because its input web-image comes from build-skaffold-web. Thus, build-skaffold-web must run before deploy-web.

Save the Task, Pipeline, and PipelineRun definitions above to as YAML files and apply them using the following command:

kubectl apply -f <name-of-file.yaml>

Note: Also apply the deploy-task or the PipelineRun will not execute.

You can monitor the execution of your PipelineRun in realtime as follows:

tkn pipelinerun logs tutorial-pipeline-run-1 -f

To view detailed information about your PipelineRun, use the following command:

tkn pipelinerun describe tutorial-pipeline-run-1

The output will look similar to the following:

Name:           tutorial-pipeline-run-1
Namespace:      default
Pipeline Ref:   tutorial-pipeline

Status
STARTED       DURATION   STATUS
4 hours ago   1 minute   Succeeded

Resources
NAME          RESOURCE REF
source-repo   skaffold-git
web-image     skaffold-image-leeroy-web

Params
No params

Taskruns
NAME                                               TASK NAME            STARTED       DURATION     STATUS
tutorial-pipeline-run-1-deploy-web-jjf2l           deploy-web           4 hours ago   14 seconds   Succeeded
tutorial-pipeline-run-1-build-skaffold-web-7jgjh   build-skaffold-web   4 hours ago   1 minute     Succeeded

The Succeeded status indicates that your PipelineRun completed without errors. You can also see the statuses of the individual TaskRuns.

Running this tutorial locally

To run this tutorial on your local workstation, see the docs for setting up your local environment.

Further reading

To learn more about the Tekton Pipelines entities involved in this tutorial, see the following topics:

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License.