Ship faster, improve reliability, and control CI costs with Datadog CI/CD Optimization

Datadog CI/CD Optimization is presented as a platform for helping DevOps, platform, and developer-experience teams manage the increased CI workload associated with AI-assisted software development by improving speed, reliability, and cost efficiency. It combines pipeline, test, commit, log, runner, and infrastructure data to identify whether delays stem from queue times, slow jobs, regressions, or resource constraints, while monitoring can alert teams to pipeline failures and performance degradation. Its flaky-test capabilities prioritize costly intermittent failures, automatically retry failed tests, and use detection and pull-request gates to prevent known or newly introduced flakes from blocking delivery. Test Impact Analysis skips tests unrelated to a code change, and Test Parallelization distributes necessary tests based on expected duration to reduce completion time and runner use. The platform centralizes pipeline and test investigation across CI providers including GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, CircleCI, and Buildkite, enabling teams to correlate CI issues with infrastructure data and process more development volume without proportional growth in compute costs.

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