ci-cd-pipeline-analysis

You can diagnose slow builds and flaky tests in your GitHub Actions pipeline by analyzing workflow execution logs and test reports. This process identifies specific bottlenecks and test instabilities, suggesting targeted improvements to optimize pipeline speed and reliability.

Extracting DORA metrics from Jenkins involves analyzing pipeline execution history to calculate Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery. These metrics provide a quantitative evaluation of your team's delivery performance.

Analyzing your TeamCity CI/CD pipeline requires either MCP-based agent access or a personal access token for REST API authentication. The Skill prioritizes MCP access and falls back to REST API tokens to fetch the necessary pipeline execution data.

The best way to optimize deployment failures in a CI/CD pipeline is to analyze historical execution data alongside DORA metrics like Change Failure Rate and Mean Time to Recovery. This approach pinpoints failure root causes and suggests actionable infrastructure improvements.

Yes, this CI/CD pipeline analysis tool works with both Jenkins and GitHub Actions, as well as TeamCity. It diagnoses slow builds, flaky tests, and deployment failures across these platforms by leveraging either MCP servers or REST API access tokens.