Summary
DORA Metrics are four research-backed software delivery performance indicators developed by the DevOps Research and Assessment team that help organizations quantify and improve their engineering productivity.
What are DORA Metrics?
The DORA research program, now part of Google Cloud, identified four metrics that consistently differentiate high-performing software teams from low-performing ones:
- Deployment Frequency — how often code is deployed to production
- Lead Time for Changes — time from commit to running in production
- Change Failure Rate — percentage of deployments causing incidents
- Mean Time to Restore (MTTR) — how quickly service is recovered after a failure
Elite performers deploy multiple times per day with lead times under one hour, change failure rates below 5%, and MTTR under one hour. These benchmarks provide objective targets for improvement initiatives.
DORA metrics are typically collected from CI/CD pipelines, incident management systems, and deployment logs. Tools like Datadog, Grafana, and specialized platforms surface these metrics in dashboards.
Why are DORA Metrics relevant?
- Evidence-based improvement: Grounded in research across thousands of organizations worldwide
- Executive communication: Translate engineering performance into business-understandable KPIs
- Prioritization: Reveal whether to invest in faster delivery or better stability first
- Benchmarking: Compare performance against industry cohorts of similar organizations