Kubernetes tutorial

This tutorial will teach you how to use Stitch capability of Digital.ai Deploy, when deploying to a Kubernetes cluster. For more information about Stitch, please see Introduction to Stitch.


  1. Install Digital.ai Deploy 9.8 or later. Please refer to the installation guide.

    Note: For the purpose of this tutorial it is advised not to run Deploy in a container, since it will be harder to deploy to the same host if Docker Desktop Kubernetes is used.

  2. Download XL CLI version 9.8
  3. Check that your K8s context points to your Kubernetes cluster (kubectl cluster-info)


  1. Configure Deploy with Infrastructure CIs to point to your Kubernetes cluster
  2. Create Kubernetes cluster configuration CI - Infractructure - New - k8s - Master
  3. Name it kubernetes-cluster
  4. Provide TLS certificate, TLS private key, API server URL, CA certificate. You can obtain these from your .kube\config values (‘client-certificate-data’, ’ client-key-data’, ‘server’, and ‘certificate-authority-data’ respectively)
  5. Once created, find this CI in the Explorer, and use CI’s context menu to create a namespace CI. Name it default.
  6. Please verify if the connecton to your Kubernetes cluster works by running a connection check on Infrastructure/kubernetes-cluster.
  7. Configure the Deploy with the Environment CI to point to the ‘default’ namespace of your Kubernetes infractruecture CI
  8. Create Kubernetes environment CI - Environments - New - Environment
  9. Name it kubernetes-env-prod
  10. In Containers filed find your Infrastructure/kubernetes-cluster/default


  1. Configure a sample ‘PetClinic’ application as CI in Deploy.

    • Download ‘PetClinic’ folder from the Stitch tutorial GitHub repository to your local machine.
    • Run XL CLI command xl apply -f xebialabs.yaml in the ‘PetClinic’ directory. It will use ‘DevOps as Code’ to create the Petclinic kubernetes application for you, under the Applications/PetClinic/1.0 CI path.
    • This is a Kubernetes-packaged application that contains YAML manifest with ‘Deployment’ and ‘Service’.
  2. Add a source of Stitch tutorial sample customizations to Deploy:

    • In Deploy UI navigate to ‘Stitch’ section. Find ‘Sources’ tab and use ‘Add Git source’.
    • Give it a name stitch-tutorial
    • For Repository Url property use ”https://github.com/xebialabs/stitch-tutorial
    • Leave other fields default
    • Click ‘Test’ to verify the connection, and ‘Save’
    • Use a ‘Refresh’ button to mionitor for when a synchronization of customizations from the GutHub repository into the Deploy finishes.
    • In case of issues use ‘View log’ button for troubleshooting.
  3. Check available Stitch customizations

In Deploy UI navigate to ‘Stitch’ section. Find ‘Rules’ tab and click on ‘k8s-tutorial’ namespace. It should give you a list of customization rules now available in Deploy.

  1. Build a deployment plan for the ‘Petlinic’ app
  2. Goto ‘Explorer’ section to find the application under Applications/PetClinic/1.0
  3. Start a Deployment and map this application to your Kubernetes environment Environments/kubernetes-env-prod
  4. Click ‘Preview’ to investigate the deployment plan created, including applied Stitch customization to application’s YAML
  5. Navigate to ‘Stitch Preview’ tab for details on the effect of each customization

    • ‘Invocation 1’ would be a ‘kind:Deployment’ manifest.
    • Look at the difference between ‘Original’ and ‘Modified’ content for the manifest under the ‘Stitch invocation output’.
    • It shows the effect of all customization applied to this manifest.
    • Click on ‘Show processing steps’ and click on a particular customization step under ‘Processor Execution’ to observe the effect of change by each step.