DORA Metrics
Introduction
- DevOps Research and Assessment (DORA) provides a standard set of DevOps metrics used for evaluating process performance and maturity.
- These metrics provide information about how quickly DevOps can respond to changes, the average time to deploy code, the frequency of iterations, and insight into failures.
DORA metrics?
- DORA metrics for DevOps teams focus on four critical measures:
Change Lead Time
- This metric measures the time it takes for a code commit or change to be successfully deployed to production. It reflects the efficiency of your delivery pipeline.
Deployment Frequency
- This metric measures how often application changes are deployed to production. Higher deployment frequency indicates a more efficient and responsive delivery process.
Change Failure Rate
- This metric measures the percentage of deployments that cause failures in production, requiring hotfixes or rollbacks. A lower change failure rate indicates a more reliable delivery process.
Mean Time To Restore
- This metric measures the time it takes to recover from a failed deployment. A lower recovery time indicates a more resilient and responsive system.
- You can set a baseline for your application’s current perofrmance using Dora Quick Check
Benefits
- DORA metrics are crucial in helping DevOps teams:
- Provide realistic response estimates
- Improve work planning
- Identify areas for improvement
- Build consensus for technical and resource investments
This post is licensed under CC BY 4.0 by the author.