$ oc login -u <login> -p <password> https://openshift.example.com:6443
With OpenShift Pipelines, you can create a customized CI/CD solution to build, test, and deploy your application.
To create a full-fledged, self-serving CI/CD Pipeline for an application, you must perform the following tasks:
Create custom Tasks, or install existing reusable Tasks.
Create a Pipeline and PipelineResources to define the delivery Pipeline for your application.
Create a PipelineRun to instantiate and invoke the Pipeline.
Add Triggers to capture any events in the source repository.
This section uses the pipelines-tutorial
example to demonstrate the preceding tasks. The example uses a simple application which consists of:
A front-end interface vote-ui
, with the source code in ui-repo
Git repository.
A back-end interface vote-api
, with the source code in api-repo
Git repository.
apply_manifest
and update-deployment
Tasks in pipelines-tutorial
Git repository.
You have access to an OpenShift Container Platform cluster.
You have installed OpenShift Pipelines using the OpenShift Pipelines Operator listed in the OpenShift OperatorHub. Once installed, it is applicable to the entire cluster.
You have installed OpenShift Pipelines CLI.
You have forked the front-end ui-repo
and back-end api-repo
Git repositories using your GitHub ID.
You have Administrator access to your repositories.
Log in to your OpenShift Container Platform cluster:
$ oc login -u <login> -p <password> https://openshift.example.com:6443
Create a project for the sample application. For this example workflow, create the pipelines-tutorial
project:
$ oc new-project pipelines-tutorial
If you create a project with a different name, be sure to update the resource URLs used in the example with your project name. |
View the pipeline
ServiceAccount:
OpenShift Pipelines Operator adds and configures a ServiceAccount named pipeline
that has sufficient permissions to build and push an image. This ServiceAccount is used by PipelineRun.
$ oc get serviceaccount pipeline
Tasks are the building blocks of a Pipeline and consist of sequentially executed Steps. Steps are a series of commands that achieve a specific goal, such as building an image.
Every Task runs as a pod and each Step runs in its own container within the same pod. Because Steps run within the same pod, they have access to the same volumes for caching files, configmaps, and secrets.
A Task uses inputs
parameters, such as a Git resource, and outputs
parameters, such as an image in a registry, to interact with other Tasks. They are reusable and can be used in multiple Pipelines.
Here is an example of a Maven Task with a single Step to build a Maven-based Java application.
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: maven-build
spec:
resources:
inputs:
- name: workspace-git
targetPath: /
type: git
steps:
- name: build
image: maven:3.6.0-jdk-8-slim
command:
- /usr/bin/mvn
args:
- install
This Task starts the pod and runs a container inside that pod using the maven:3.6.0-jdk-8-slim
image to run the specified commands. It receives an input directory called workspace-git
that contains the source code of the application.
The Task only declares the placeholder for the Git repository, it does not specify which Git repository to use. This allows Tasks to be reusable for multiple Pipelines and purposes.
Install the apply-manifests
and update-deployment
Tasks from the pipelines-tutorial
repository, which contains a list of reusable Tasks for Pipelines:
$ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/01_pipeline/01_apply_manifest_task.yaml $ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/01_pipeline/02_update_deployment_task.yaml
Use the tkn task list
command to list the Tasks you created:
$ tkn task list
The output verifies that the apply-manifests
and update-deployment
Tasks were created:
NAME DESCRIPTION AGE apply-manifests 1 minute ago update-deployment 48 seconds ago
Use the tkn clustertasks list
command to list the Operator-installed additional ClusterTasks, for example --buildah
and s2i-python-3
:
You must use a privileged Pod container to run the |
$ tkn clustertasks list
The output lists the Operator-installed ClusterTasks:
NAME DESCRIPTION AGE buildah 1 day ago buildah-v0-11-3 1 day ago git-clone 1 day ago jib-maven 1 day ago kn 1 day ago maven 1 day ago openshift-client 1 day ago openshift-client-v0-11-3 1 day ago s2i 1 day ago s2i-dotnet-3 1 day ago s2i-dotnet-3-v0-11-3 1 day ago s2i-go 1 day ago s2i-go-v0-11-3 1 day ago s2i-java-11 1 day ago s2i-java-11-v0-11-3 1 day ago s2i-java-8 1 day ago s2i-java-8-v0-11-3 1 day ago s2i-nodejs 1 day ago s2i-nodejs-v0-11-3 1 day ago s2i-perl 1 day ago s2i-perl-v0-11-3 1 day ago s2i-php 1 day ago s2i-php-v0-11-3 1 day ago s2i-python-3 1 day ago s2i-python-3-v0-11-3 1 day ago s2i-ruby 1 day ago s2i-ruby-v0-11-3 1 day ago s2i-v0-11-3 1 day ago tkn 1 day ago
PipelineResources are artifacts that are used as inputs or outputs of a Task.
After you create Tasks, create PipelineResources that contain the specifics of the Git repository and the image registry to be used in the Pipeline during execution:
If you are not in the image-registry.openshift-image-registry.svc:5000/<namespace-name>/vote-api:latest |
Create a PipelineResource that defines the Git repository for the front-end application:
$ tkn resource create ? Enter a name for a pipeline resource : ui-repo ? Select a resource type to create : git ? Enter a value for url : http://github.com/openshift-pipelines/vote-ui.git ? Enter a value for revision : release-tech-preview-1
The output verifies that the ui-repo
PipelineResource was created.
New git resource "ui-repo" has been created
Create a PipelineResource that defines the OpenShift Container Platform internal image registry to where you want to push the front-end image:
$ tkn resource create ? Enter a name for a pipeline resource : ui-image ? Select a resource type to create : image ? Enter a value for url : image-registry.openshift-image-registry.svc:5000/pipelines-tutorial/ui:latest ? Enter a value for digest :
The output verifies that the ui-image
PipelineResource was created.
New image resource "ui-image" has been created
Create a PipelineResource that defines the Git repository for the back-end application:
$ tkn resource create ? Enter a name for a pipeline resource : api-repo ? Select a resource type to create : git ? Enter a value for url : http://github.com/openshift-pipelines/vote-api.git ? Enter a value for revision : release-tech-preview-1
The output verifies that the api-repo
PipelineResource was created.
New git resource "api-repo" has been created
Create a PipelineResource that defines the OpenShift Container Platform internal image registry to where you want to push the back-end image:
$ tkn resource create ? Enter a name for a pipeline resource : api-image ? Select a resource type to create : image ? Enter a value for url : image-registry.openshift-image-registry.svc:5000/pipelines-tutorial/api:latest ? Enter a value for digest :
The output verifies that the api-image
PipelineResource was created.
New image resource "api-image" has been created
View the list of resources
created:
$ tkn resource list
The output lists all the PipelineResource that were created.
NAME TYPE DETAILS api-repo git url: http://github.com/openshift-pipelines/vote-api.git ui-repo git url: http://github.com/openshift-pipelines/vote-ui.git api-image image url: image-registry.openshift-image-registry.svc:5000/pipelines-tutorial/api:latest ui-image image url: image-registry.openshift-image-registry.svc:5000/pipelines-tutorial/ui:latest
A Pipeline represents a CI/CD flow and is defined by the Tasks to be executed. It specifies how the Tasks interact with each other and their order of execution using the inputs
, outputs
, and runAfter
parameters. It is designed to be generic and reusable in multiple applications and environments.
In this section, you will create a Pipeline that takes the source code of the application from GitHub and then builds and deploys it on OpenShift Container Platform.
The Pipeline performs the following tasks for the back-end application vote-api
and front-end application vote-ui
:
Clones the source code of the application from the Git repositories api-repo
and ui-repo
.
Builds the container images api-image
and ui-image
using the buildah
ClusterTask.
Pushes the api-image
and ui-image
images to the internal image registry.
Deploys the new images on OpenShift Container Platform using the apply-manifests
and update-deployment
Tasks.
Copy the contents of the following sample Pipeline YAML file and save it:
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: build-and-deploy
spec:
resources:
- name: git-repo
type: git
- name: image
type: image
params:
- name: deployment-name
type: string
description: name of the deployment to be patched
tasks:
- name: build-image
taskRef:
name: buildah
kind: ClusterTask
resources:
inputs:
- name: source
resource: git-repo
outputs:
- name: image
resource: image
params:
- name: TLSVERIFY
value: "false"
- name: apply-manifests
taskRef:
name: apply-manifests
resources:
inputs:
- name: source
resource: git-repo
runAfter:
- build-image
- name: update-deployment
taskRef:
name: update-deployment
resources:
inputs:
- name: image
resource: image
params:
- name: deployment
value: $(params.deployment-name)
runAfter:
- apply-manifests
Notice that the Pipeline definition abstracts away the specifics of the Git source repository and image registries to be used during the Pipeline execution.
Create the Pipeline:
$ oc create -f <pipeline-yaml-file-name.yaml>
Alternatively, you can also execute the YAML file directly from the Git repository:
$ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/01_pipeline/04_pipeline.yaml
Use the tkn pipeline list
command to verify that the Pipeline is added to the application:
$ tkn pipeline list
The output verifies that the build-and-deploy
Pipeline was created:
NAME AGE LAST RUN STARTED DURATION STATUS build-and-deploy 1 minute ago --- --- --- ---
A PipelineRun starts a Pipeline and ties it to the Git and image resources that should be used for the specific invocation. It automatically creates and starts the TaskRuns for each Task in the Pipeline.
Start the Pipeline for the back-end application:
$ tkn pipeline start build-and-deploy -r git-repo=api-repo -r image=api-image -p deployment-name=vote-api
Note the PipelineRun ID returned in the command output.
Track the PipelineRun progress:
$ tkn pipelinerun logs <pipelinerun ID> -f
Start the Pipeline for the front-end application:
$ tkn pipeline start build-and-deploy -r git-repo=ui-repo -r image=ui-image -p deployment-name=vote-ui
Note the PipelineRun ID returned in the command output.
Track the PipelineRun progress:
$ tkn pipelinerun logs <pipelinerun ID> -f
After a few minutes, use tkn pipelinerun list
command to verify that the Pipeline ran successfully by listing all the PipelineRuns:
$ tkn pipelinerun list
The output lists the PipelineRuns:
NAME STARTED DURATION STATUS build-and-deploy-run-xy7rw 1 hour ago 2 minutes Succeeded build-and-deploy-run-z2rz8 1 hour ago 19 minutes Succeeded
Get the application route:
$ oc get route vote-ui --template='http://{{.spec.host}}'
Note the output of the previous command. You can access the application using this route.
To rerun the last PipelineRun, using the PipelineResources and ServiceAccount of the previous Pipeline, run:
$ tkn pipeline start build-and-deploy --last
Use Triggers in conjunction with Pipelines to create a full-fledged CI/CD system where the Kubernetes resources define the entire CI/CD execution. Pipeline Triggers capture the external events and process them to extract key pieces of information. Mapping this event data to a set of predefined parameters triggers a series of tasks that can then create and deploy Kubernetes resources.
For example, you define a CI/CD workflow using OpenShift Pipelines for your application. The PipelineRun must start for any new changes to take effect in the application repository. Triggers automate this process by capturing and processing any change events, and by triggering a PipelineRun that deploys the new image with the latest changes.
Triggers consist of the following main components that work together to form a reusable, decoupled, and self-sustaining CI/CD system:
EventListeners provide endpoints, or an event sink, that listen for incoming HTTP-based events with a JSON payload. The EventListener performs lightweight event processing on the payload using Event Interceptors, which identify the type of payload and optionally modify it. Currently, Pipeline Triggers support four types of Interceptors: Webhook Interceptors, GitHub Interceptors, GitLab Interceptors, and Common Expression Language (CEL) Interceptors.
TriggerBindings extract the fields from an event payload and store them as parameters.
TriggerTemplates specify how to use the parameterized data from the TriggerBindings. A TriggerTemplate defines a resource template that receives input from the TriggerBindings, while then performing a series of actions that result in creation of new PipelineResources and initiation of a new PipelineRun.
EventListeners tie the concepts of TriggerBindings and TriggerTemplates together. The EventListener listens for the incoming event, handles basic filtering using Interceptors, extracts data using TriggerBindings, and then processes this data to create Kubernetes resources using TriggerTemplates.
After you have assembled and started the Pipeline for the application, add TriggerBindings, TriggerTemplates, and an EventListener to capture GitHub events.
Copy the content of the following sample TriggerBinding
YAML file and save it:
apiVersion: triggers.tekton.dev/v1alpha1
kind: TriggerBinding
metadata:
name: vote-app
spec:
params:
- name: git-repo-url
value: $(body.repository.url)
- name: git-repo-name
value: $(body.repository.name)
- name: git-revision
value: $(body.head_commit.id)
Create the TriggerBinding
:
$ oc create -f <triggerbinding-yaml-file-name.yaml>
Alternatively, you can create the TriggerBinding
directly from the pipelines-tutorial
Git repository:
$ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/03_triggers/01_binding.yaml
Copy the content of the following sample TriggerTemplate
YAML file and save it:
apiVersion: triggers.tekton.dev/v1alpha1
kind: TriggerTemplate
metadata:
name: vote-app
spec:
params:
- name: git-repo-url
description: The git repository url
- name: git-revision
description: The git revision
default: master
- name: git-repo-name
description: The name of the deployment to be created / patched
resourcetemplates:
- apiVersion: tekton.dev/v1alpha1
kind: PipelineResource
metadata:
name: $(params.git-repo-name)-git-repo-$(uid)
spec:
type: git
params:
- name: revision
value: $(params.git-revision)
- name: url
value: $(params.git-repo-url)
- apiVersion: tekton.dev/v1alpha1
kind: PipelineResource
metadata:
name: $(params.git-repo-name)-image-$(uid)
spec:
type: image
params:
- name: url
value: image-registry.openshift-image-registry.svc:5000/pipelines-tutorial/$(params.git-repo-name):latest
- apiVersion: tekton.dev/v1beta1
kind: PipelineRun
metadata:
name: build-deploy-$(params.git-repo-name)-$(uid)
spec:
serviceAccountName: pipeline
pipelineRef:
name: build-and-deploy
resources:
- name: git-repo
resourceRef:
name: $(params.git-repo-name)-git-repo-$(uid)
- name: image
resourceRef:
name: $(params.git-repo-name)-image-$(uid)
params:
- name: deployment-name
value: $(params.git-repo-name)
Create the TriggerTemplate
:
$ oc create -f <triggertemplate-yaml-file-name.yaml>
Alternatively, you can create the TriggerTemplate
directly from the pipelines-tutorial
Git repository:
$ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/03_triggers/02_template.yaml
Copy the contents of the following sample EventListener
YAML file and save it:
apiVersion: triggers.tekton.dev/v1alpha1
kind: EventListener
metadata:
name: vote-app
spec:
serviceAccountName: pipeline
triggers:
- bindings:
- name: vote-app
template:
name: vote-app
Create the EventListener
:
$ oc create -f <eventlistener-yaml-file-name.yaml>
Alternatively, you can create the EvenListener
directly from the pipelines-tutorial
Git repository:
$ oc create -f https://raw.githubusercontent.com/openshift/pipelines-tutorial/release-tech-preview-1/03_triggers/03_event_listener.yaml
Expose the EventListener service as an OpenShift Container Platform route to make it publicly accessible:
$ oc expose svc el-vote-app
Webhooks are HTTP POST messages that are received by the EventListeners whenever a configured event occurs in your repository. The event payload is then mapped to TriggerBindings, and processed by TriggerTemplates. The TriggerTemplates eventually start one or more PipelineRuns, leading to the creation and deployment of Kubernetes resources.
In this section, you will configure a Webhook URL on your forked Git repositories vote-ui
and vote-api
. This URL points to the publicly accessible EventListener service route.
Adding Webhooks requires administrative privileges to the repository. If you do not have administrative access to your repository, contact your system administrator for adding Webhooks. |
Get the Webhook URL:
$ echo "URL: $(oc get route el-vote-app --template='http://{{.spec.host}}')"
Note the URL obtained in the output.
Configure Webhooks manually on the front-end repository:
Open the front-end Git repository vote-ui
in your browser.
Click Settings → Webhooks → Add Webhook
On the Webhooks/Add Webhook page:
Enter the Webhook URL from step 1 in Payload URL field
Select application/json for the Content type
Specify the secret in the Secret field
Ensure that the Just the push event is selected
Select Active
Click Add Webhook
Repeat step 2 for the back-end repository vote-api
.
Whenever a push
event occurs in the Git repository, the configured Webhook sends an event payload to the publicly exposed EventListener service route. The EventListener service of the application processes the payload, and passes it to the relevant TriggerBindings and TriggerTemplates pair. The TriggerBinding extracts the parameters and the TriggerTemplate uses these parameters to create resources. This may rebuild and redeploy the application.
In this section, you will push an empty commit to the front-end vote-api
repository, which will trigger the PipelineRun.
From the terminal, clone your forked Git repository vote-api
:
$ git clone git@github.com:<your GitHub ID>/vote-api.git -b release-tech-preview-1
Push an empty commit:
$ git commit -m "empty-commit" --allow-empty && git push origin release-tech-preview-1
Check if the PipelineRun was triggered:
$ tkn pipelinerun list
Notice that a new PipelineRun was initiated.
For more details on pipelines in the Developer perspective, see the working with Pipelines in the Developer perspective section.
To learn more about Security Context Constraints (SCCs), see Managing Security Context Constraints section.
For more examples of reusable Tasks, see the OpenShift Catalog repository. Additionally, you can also see the Tekton Catalog in the Tekton project.