Prompt Title: Basic concept how to run job on K8 with Azure Pipelines

Created 1 year ago
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Human: Please create a kubernetes yaml with the following requirements: * a job container for build that is pulled from an Azure Container Registry with authenticated access * deployment of a secret from the ACR * an init container that pull the code from an Azure DevOps git Repo mounting it into a claims storage with sufficient storage * the mounted storage is also attached to the main container pulled from the ACR * any artifacts that the main job is producing is also stored into the storage in a different folder please obey kubernetes best practices for yml, security and performance. Make a educated guess of the ressources that should be claimed for the storage and intit as well as main containers
ChatGPT:

Here is a Kubernetes YAML file that should meet your requirements. Replace the placeholders with your specific values:

yaml
apiVersion: v1 kind: Secret metadata: name: acr-auth type: kubernetes.io/dockerconfigjson data: .dockerconfigjson: <your-base64-encoded-docker-credentials> --- apiVersion: v1 kind: PersistentVolumeClaim metadata: name: code-and-artifacts-pvc spec: accessModes: - ReadWriteOnce resources: requests: storage: 10Gi --- apiVersion: batch/v1 kind: Job metadata: name: build-job spec: template: spec: initContainers: - name: git-clone image: alpine/git:latest command: ["git", "clone", "--single-branch", "<your-azure-devops-git-repo-url>", "/code"] volumeMounts: - name: code-and-artifacts mountPath: /code containers: - name: build-container image: <your-acr-name>.azurecr.io/<your-image-name>:<your-image-tag> resources: requests: cpu: 500m memory: 1Gi env: - name: AZURE_DEVOPS_TOKEN valueFrom: secretKeyRef: name: acr-auth key: .dockerconfigjson volumeMounts: - name: code-and-artifacts mountPath: /code subPath: code - name: code-and-artifacts mountPath: /artifacts subPath: artifacts volumes: - name: code-and-artifacts persistentVolumeClaim: claimName: code-and-artifacts-pvc restartPolicy: Never

Replace the placeholders in the YAML:

  • <your-base64-encoded-docker-credentials>: Your base64-encoded Docker credentials for accessing the Azure Container Registry.
  • <your-azure-devops-git-repo-url>: The URL of your Azure DevOps Git repository.
  • <your-acr-name>: Your Azure Container Registry name.
  • <your-image-name>: The name of the image you want to use from the Azure Container Registry.
  • <your-image-tag>: The image tag you want to use from the Azure Container Registry.

This YAML file includes:

  1. A Secret for authenticating with the Azure Container Registry.
  2. A PersistentVolumeClaim with 10Gi of storage.
  3. A Job with an init container that clones the code from the Azure DevOps Git repository.
  4. A main container that pulls the image from the Azure Container Registry and has access to the code and artifacts folders.
  5. Mounting the PersistentVolumeClaim to the init and main containers for code and artifacts storage.

Make sure to adjust the resources requests for the main container based on your application's specific needs. The example provided in the YAML assumes 500m CPU and 1Gi of memory, which may need to be adjusted depending on your use case.

Human: please take into account that a PAT for Azure DevOps Services (cloud SaaS) is needed for the init container to clone the code.
ChatGPT:

To use a Personal Access Token (PAT) for the init container to clone the code from Azure DevOps Services, you can create a Kubernetes Secret with the PAT and then use it as an environment variable in the init container. Here is an updated Kubernetes YAML file:

yaml
apiVersion: v1 kind: Secret metadata: name: acr-auth type: kubernetes.io/dockerconfigjson data: .dockerconfigjson: <your-base64-encoded-docker-credentials> --- apiVersion: v1 kind: Secret metadata: name: azure-devops-pat type: Opaque data: pat: <your-base64-encoded-azure-devops-pat> --- apiVersion: v1 kind: PersistentVolumeClaim metadata: name: code-and-artifacts-pvc spec: accessModes: - ReadWriteOnce resources: requests: storage: 10Gi --- apiVersion: batch/v1 kind: Job metadata: name: build-job spec: template: spec: initContainers: - name: git-clone image: alpine/git:latest command: ["/bin/sh", "-c"] args: - git clone --single-branch https://<your-azure-devops-username>:$PAT@<your-azure-devops-git-repo-url> /code env: - name: PAT valueFrom: secretKeyRef: name: azure-devops-pat key: pat volumeMounts: - name: code-and-artifacts mountPath: /code containers: - name: build-container image: <your-acr-name>.azurecr.io/<your-image-name>:<your-image-tag> resources: requests: cpu: 500m memory: 1Gi env: - name: AZURE_DEVOPS_TOKEN valueFrom: secretKeyRef: name: acr-auth key: .dockerconfigjson volumeMounts: - name: code-and-artifacts mountPath: /code subPath: code - name: code-and-artifacts mountPath: /artifacts subPath: artifacts volumes: - name: code-and-artifacts persistentVolumeClaim: claimName: code-and-artifacts-pvc restartPolicy: Never

Replace the placeholders in the YAML:

  • <your-base64-encoded-docker-credentials>: Your base64-encoded Docker credentials for accessing the Azure Container Registry.
  • <your-base64-encoded-azure-devops-pat>: Your base64-encoded Azure DevOps Personal Access Token.
  • <your-azure-devops-username>: Your Azure DevOps username.
  • <your-azure-devops-git-repo-url>: The URL of your Azure DevOps Git repository (without the protocol and username part).
  • <your-acr-name>: Your Azure Container Registry name.
  • <your-image-name>: The name of the image you want to use from the Azure Container Registry.
  • <your-image-tag>: The image tag you want to use from the Azure Container Registry.

This updated YAML file includes a new Secret named azure-devops-pat to store the Azure DevOps PAT. The PAT is then passed as an environment variable to the init container, which uses it to clone the code from the Azure DevOps Git repository.

Human: Please get not into the role of a technical writer. Expect that the user will not have to use the yaml. It will rather be abstracted in an Azure DevOps Pipeline extension. So abstract the yaml to a simple azure pipelines yaml that the user can use to run a job and get back the results (logs, artifefacts). He will need to be able to define all the placeholder that you defined in the script. Give the pipeline task a name and give me back a yaml snippet with a sample pipeline that is simple. Write it in a text for the user who wants to know how to run a build job on a kubernetes based cluster from Azure Pipelines.
ChatGPT:

As a technical writer, I have provided instructions and a sample Azure Pipelines YAML file that uses a custom pipeline task to run a build job on a Kubernetes-based cluster. The user will be able to define all the necessary placeholders to configure the pipeline task.


To run a build job on a Kubernetes-based cluster from Azure Pipelines, you can use the custom pipeline task named KubernetesBuildJob. This task will create a Kubernetes Job using the provided configuration and return the results, such as logs and artifacts.

To get started, you'll need to include the KubernetesBuildJob task in your Azure Pipelines YAML file. The following is a sample pipeline that demonstrates how to use the task:

yaml
trigger: branches: include: - main pool: vmImage: 'ubuntu-latest' steps: - task: KubernetesBuildJob@1 inputs: dockerCredentials: <your-base64-encoded-docker-credentials> azureDevOpsPAT: <your-base64-encoded-azure-devops-pat> azureDevOpsUsername: <your-azure-devops-username> azureDevOpsGitRepoUrl: <your-azure-devops-git-repo-url> acrName: <your-acr-name> imageName: <your-image-name> imageTag: <your-image-tag> cpuRequest: 500m memoryRequest: 1Gi

Replace the placeholders in the YAML:

  • <your-base64-encoded-docker-credentials>: Your base64-encoded Docker credentials for accessing the Azure Container Registry.
  • <your-base64-encoded-azure-devops-pat>: Your base64-encoded Azure DevOps Personal Access Token.
  • <your-azure-devops-username>: Your Azure DevOps username.
  • <your-azure-devops-git-repo-url>: The URL of your Azure DevOps Git repository.
  • <your-acr-name>: Your Azure Container Registry name.
  • <your-image-name>: The name of the image you want to use from the Azure Container Registry.
  • <your-image-tag>: The image tag you want to use from the Azure Container Registry.
  • cpuRequest: The requested CPU for the build container. Adjust this value based on your application's specific needs.
  • memoryRequest: The requested memory for the build container. Adjust this value based on your application's specific needs.

After you have updated the placeholders with your specific values, commit the YAML file to your Azure DevOps Git repository. The pipeline will be triggered when changes are pushed to the main branch. The KubernetesBuildJob task will run the build job on your Kubernetes cluster, and the results (logs and artifacts) will be returned and made available in the pipeline.

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Sebastian Schütze
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