Using Engineering Intelligence to measure DORA metrics

Engineering 360, developed by Port, aims to provide engineering leaders with comprehensive metrics to efficiently manage their teams by leveraging existing data and offering insights through the DORA (DevOps Research and Assessment) framework. Introduced by Google researchers, DORA focuses on four key metrics—deployment frequency, lead time for changes, change failure rate, and mean time to recovery (MTTR)—to assess both the performance and stability of software engineering teams. While DORA metrics provide a foundational starting point, gathering and interpreting them can be complex, requiring data from various sources like Git providers and CI/CD pipelines. Engineering 360 integrates with Port's internal developer portal to streamline this process, offering a customizable data model, seamless tech stack integration, and comprehensive context through dashboards and feedback loops. The platform not only tracks metrics but also facilitates actionable improvements with features like alerts, scorecards, and collaboration with platform engineering teams, thereby helping organizations balance speed and stability in software development.