Deployment Observability Smoke

What it does

This skill automates the execution of smoke tests against deployed applications. It retrieves deployment information, identifies relevant endpoints for testing, and runs predefined checks to verify basic functionality after a new deployment. The results are then aggregated and presented in a clear format, allowing for rapid assessment of deployment success.

When to use it

• Automated Verification: After deploying a new version of an application, automatically run smoke tests to quickly confirm core features are working as expected.
• Incident Response: During incidents or suspected issues with deployed applications, rapidly execute smoke tests to isolate the problem area.
• Continuous Integration/Continuous Delivery (CI/CD): Integrate this skill into your CI/CD pipelines for automated validation of deployments before promoting them to production.
• Post-Rollback Validation: After a rollback occurs, run smoke tests to ensure the previous stable version is functioning correctly.

Key capabilities

• Retrieval of deployment information
• Identification of relevant endpoints for testing
• Execution of predefined smoke test checks
• Aggregation and presentation of test results

Example prompts

• "Run smoke tests against the latest deployment of the 'order-service'."
• "Execute a full suite of smoke tests on the staging environment."
• "Show me the results of the last smoke test run for the 'payment-gateway' application."

Tips & gotchas

• Requires access to deployment metadata and endpoint definitions. Ensure the AI agent has appropriate permissions and configuration to retrieve this information.