10 posts tagged with “CI/CD Monitoring”
How to fix flaky tests: six root-cause classes, the diagnostic checklist per class, and the test-strategy fix most teams skip. Telltale log signatures for each.
Lead time for changes is simple until two managers disagree. The clock-start choice, the deployment rule, and what to do when the number is too high.
CI/CD cost per build is compute plus developer wait time. The formula, real numbers from 378 GitHub Actions runs, and why the invoice undercounts by 100×.
The real cost of flaky tests is compute reruns plus developer wait time. The maths on why every flake pays twice, what we observed, and where to start.
A CI/CD pipeline audit is a practitioner's health check, not a maturity model. The framework, what to look for, and the prioritised punch list teams act on.
Developer wait time is the biggest CI cost your team never invoices. The taxonomy, a worked example, and why it beats compute by two orders of magnitude.
Don't monitor everything that can be counted. Monitor the signals that show whether your CI, deploy, recovery, and economic feedback loops are closing.
CI/CD is not a pipeline. It is the discipline of short feedback loops from commit to customer: small batches, fast tests, real deployments that ship.
The native GitHub Actions view tells you which runs passed, but not whether your CI is healthy. Here's what a proper GitHub Actions dashboard should track — and the practical options for building or buying one.
CI/CD Watch is a single dashboard for monitoring pipeline runs, tracking DORA metrics, controlling costs, and catching flaky tests across GitHub Actions, GitLab CI, Bitbucket Pipelines, CircleCI, Azure DevOps, and Jenkins.