![]() ![]() The pipeline and understand possible blockers. The Directed Acyclic Graph (DAG) visualization can help analyze the critical path in Directed Acyclic Graphs (DAG) visualization Provide an example of a complex testing strategy with many components involved. Running simultaneously to support the parallel jobs. The downside is that you need more runners The same stage, reducing overall runtime. You can improve runtimes by running jobs that test different things in parallel, in Pipeline stages involved causing long runtimes. Tests like unit tests, integration tests, end-to-end tests,Įnsure that problems are automatically found by the CI/CD pipeline. Give information about pipeline runtime and failed job counts. Not enough resources, causing slow runtimes and wasting time.More resources than needed for CI/CD pipelines, wasting money.Hosted with a paid cloud service may be provisioned with: Pipeline analysis can help identify issues with cost efficiency. Refactoring pipelines may need careful interaction between teams It’s important to understand and document the pipeline workflows, and discuss possibleĪctions and changes. AnalysisĬan help identify possible blockers in the CI/CD infrastructure. Pipeline analysisĪnalyze the performance of your pipeline to find ways to improve efficiency. Tests that fail at the end of a long pipeline, but could be in an earlier stage,Ĭausing delayed feedback.Failures that can be safely ignored, but that halt the pipeline instead.Test coverage drops and code quality correlated to that behavior.Flaky unit tests which fail randomly, or produce unreliable test results. ![]() You should look for problematic patterns with failed jobs: Pipelines frequently failing unnecessarily also causes slowdowns in the development Build dependencies and their installation time.Availability of the runners and the resources they are provisioned with.The minimum and maximum pipeline duration.Īdditional points to pay attention relate to GitLab Runners: Stages, and the total runtime of the pipeline itself. The easiest indicators to check for inefficient pipelines are the runtimes of the jobs, To use pipeline features that improve efficiency right away, and get a faster softwareįirst ensure you are familiar with GitLab CI/CD fundamentalsĪnd understand the quick start guide. It’s common that new teams or projects start with slow and inefficient pipelines,Īnd improve their configuration over time through trial and error. Making pipelines more efficient helps you save developer time, which: Directed Acyclic Graphs (DAG) visualizationĬI/CD Pipelines are the fundamental building blocks for GitLab CI/CD.Identify bottlenecks and common failures. ![]()
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