Breaching the siloed operations among Dev, Test, and Ops teams, the CI/CD pipelines are created for the Continuous Delivery of your software releases. Yet due to manual intervention at the end of each pipeline stage to analyze risks, diagnose and troubleshoot issues the pipeline continuity is broken, slowing down the deployment cycles.
Read our blog “Automate decision-making in CD pipelines using Autopilot” to know how the AI/ML-based OpsMx Autopilot, an automated verification solution adds a layer of intelligence in the existing CI/CD pipelines and provides the automated release verification through real-time decisions, governance, and compliance of policies, and providing intelligent visibility to the DevOps teams.
Autopilot can be configured to automatically promote a release to the next stage with a high degree of confidence — removing the delay of human evaluation. A use case example for a test run stage cited here explores how Autopilot gathers data from different tools and analyses the risk thereby generating different errors and risk scores that help the DevOps teams to quickly decide whether to promote the release to the next stage or fail it. You can check for specific issues in the generated bubble graph by simply clicking a bubble, and also see the detailed log of that error.
Further, you can perform trend analysis based on historical timeline data, and track how the risk scores are varying and the error counts are changing over a period of time. Automated verification dashboard for Spinnaker CI/CD pipelines lets you navigate through hundreds of records quickly. To know more about how Autopilot works in automating your CD pipelines read the blog here.
