How do I run Kernel observability jobs on self-hosted runners with Azure Pipelines?

Running Kernel observability jobs on self-hosted runners with Azure Pipelines involves configuring the self-hosted runner, setting up your pipeline YAML file, and ensuring that the necessary credentials and permissions are in place. Below is a step-by-step guide on how to achieve this.

Step-by-Step Guide

  1. Set up a Self-Hosted Runner: In Azure DevOps, navigate to Project Settings, then Agents, and choose to add a self-hosted runner. Follow the instructions to install and configure it on your desired machine.
  2. Configure Your Pipeline: Edit your Azure Pipeline YAML file to specify the use of the self-hosted runner. You can include jobs that focus on Kernel observability.
  3. Run Your Pipeline: Once your YAML file is configured, you can run the pipeline to initiate Kernel observability jobs.

Example YAML Configuration

pool: name: 'YourSelfHostedPoolName' jobs: - job: KernelObservabilityJob displayName: 'Kernel Observability Job' steps: - script: | echo "Running Kernel observability tasks here..." displayName: 'Kernel Tasks'

Kernel observability self-hosted runners Azure Pipelines DevOps CI/CD

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