Skip to main content
Redhat Developers  Logo
  • AI

    Get started with AI

    • Red Hat AI
      Accelerate the development and deployment of enterprise AI solutions.
    • AI learning hub
      Explore learning materials and tools, organized by task.
    • AI interactive demos
      Click through scenarios with Red Hat AI, including training LLMs and more.
    • AI/ML learning paths
      Expand your OpenShift AI knowledge using these learning resources.
    • AI quickstarts
      Focused AI use cases designed for fast deployment on Red Hat AI platforms.
    • No-cost AI training
      Foundational Red Hat AI training.

    Featured resources

    • OpenShift AI learning
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

    Red Hat AI Factory with NVIDIA

    • Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.
    • Explore the solution
  • Learn

    Self-guided

    • Documentation
      Find answers, get step-by-step guidance, and learn how to use Red Hat products.
    • Learning paths
      Explore curated walkthroughs for common development tasks.
    • Guided learning
      Receive custom learning paths powered by our AI assistant.
    • See all learning

    Hands-on

    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.
    • Interactive labs
      Learn by doing in these hands-on, browser-based experiences.
    • Interactive demos
      Click through product features in these guided tours.

    Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics

    Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
  • Build

    Get started

    • Red Hat build of Podman Desktop
      A downloadable, local development hub to experiment with our products and builds.
    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.

    Download products

    • Access product downloads to start building and testing right away.
    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset

    References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
  • Community

    Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions

    Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github

    Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

    Join the Red Hat Developer program

    • Download Red Hat products and project builds, access support documentation, learning content, and more.
    • Explore the benefits

Getting started with Tekton on Red Hat OpenShift

July 19, 2019
Huub Daems
Related topics:
Kubernetes
Related products:
Red Hat OpenShift

    I recently heard about Tekton as an alternative for Jenkins on Red Hat OpenShift. What got my attention was that Tekton uses Operators as building blocks, and Operators are something I am also interested in. I don't want to get ahead of myself, though; so we'll start with installing Tekton on Red Hat OpenShift. Installing on Kubernetes is also possible, but for now the focus is on OpenShift.

    To install Tekton, you need to be cluster-admin on a Red Hat OpenShift cluster. The reason for that is that the Controller must run with anyuid. Just have an OpenShift or Minishift cluster at your fingertips on which you can be cluster-admin.

    We are going to use a dedicated project to install the Tekton Operators in:

    oc new-project tekton-pipelines --display-name='Tekton Pipelines'
    oc adm policy add-scc-to-user anyuid -z tekton-pipelines-controller
    oc apply --filename https://storage.googleapis.com/tekton-releases/latest/release.yaml

    This creates two deployments in the tekton-pipelines project, named tekton-pipelines-controller and tekton-pipelines-webhook. It is fast to start up, but to see if the pods are running, use the following oc command and wait for the 'Running' status:

    oc get pods --namespace tekton-pipelines --watch

    Use CTRL + C to exit watch mode.

    Now that Tekton is running, we need to define a Task with steps saying what to do. We also need a TaskRun definition saying which Task to run. We need two yaml files for that. How the files are named does not really matter, but I am using the convention to end them with -task.yaml and -task-run.yaml.

    A Task definition file named echo-hello-world-task.yaml:

    apiVersion: tekton.dev/v1alpha1
    kind: Task
    metadata:
      name: echo-hello-world-task
    spec:
      steps:
        - name: echo
          image: ubuntu
          command:
            - echo
          args:
            - "hello world"
    

    And a TaskRun definition file named echo-hello-world-task-run.yaml:

    apiVersion: tekton.dev/v1alpha1
    kind: TaskRun
    metadata:
      name: echo-hello-world-task-run
    spec:
      taskRef:
        name: echo-hello-world-task
    

    We will apply the two files with the following commands:

    oc apply -f echo-hello-world-task.yaml
    oc apply -f echo-hello-world-task-run.yaml
    

    As soon as both files are applied they will get directly executed. To follow the output of the TaskRun, use the command:

    oc get taskruns/echo-hello-world-task-run -o yaml
    

    Look through the output and search for:

    status:
      conditions:
        - lastTransitionTime: 2019-07-08T18:48:15Z
          status: "True"
          type: Succeeded
    

    If it looks almost the same as above, you have executed the first part of what will become a complete Tekton pipeline.

    Last updated: September 10, 2020

    Recent Posts

    • Red Hat Hardened Images: Top 5 benefits for software developers

    • How EvalHub manages two-layer Kubernetes control planes

    • Tekton joins the CNCF as an incubating project

    • Federated identity across the hybrid cloud using zero trust workload identity manager

    • Confidential virtual machine storage attack scenarios

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Chat Support

    Please log in with your Red Hat account to access chat support.