Jenkins

The Checkmk Jenkins skill enables AI agents to interact with Jenkins CI/CD pipelines, allowing for automated build triggers, job status monitoring, and artifact retrieval within the Checkmk ecosystem. It bridges the gap between infrastructure management and software delivery workflows by providing direct API access to Jenkins operations.

When to use it

• Automating the initiation of specific Jenkins builds based on infrastructure changes detected by Checkmk.
• Retrieving real-time status updates or logs for critical deployment jobs without manual dashboard checks.
• Fetching build artifacts directly into monitoring dashboards or incident response workflows.
• Orchestrating complex release pipelines that require coordination between system health and code deployment.

Key capabilities

• Trigger Jenkins builds programmatically via API calls.
• Query job execution status and historical data.
• Access build logs and console output for troubleshooting.
• Retrieve build artifacts and download links.

Example prompts

• "Trigger a new Jenkins build for the 'production-deployment' job if the database server CPU usage exceeds 80%."
• "Check the status of the last three builds in the 'api-service' pipeline and summarize any failures."
• "Download the latest artifact from the 'release-v2.1' build and store it in the incident response folder."

Tips & gotchas

Ensure your AI agent has valid API credentials with appropriate permissions to execute Jenkins actions before attempting to trigger builds or access logs. Verify that the specific Jenkins instance is correctly configured within the Checkmk environment to avoid connection timeouts during high-load scenarios.