> For the complete documentation index, see [llms.txt](https://docs.oobeya.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.oobeya.io/deployment-analytics.md).

# DORA Metrics

- [DORA Metrics Introduction](https://docs.oobeya.io/deployment-analytics/dora-metrics-introduction.md): Learn about DORA Metrics & Oobeya Deployment Analytics.
- [Lead Time For Changes (LTC)](https://docs.oobeya.io/deployment-analytics/dora-metrics-introduction/lead-time-for-changes-ltc.md)
- [Deployment Frequency (DF)](https://docs.oobeya.io/deployment-analytics/dora-metrics-introduction/deployment-frequency-df.md)
- [Change Failure Rate (CFR)](https://docs.oobeya.io/deployment-analytics/dora-metrics-introduction/change-failure-rate-cfr.md)
- [Mean Time To Restore Service (MTTR)](https://docs.oobeya.io/deployment-analytics/dora-metrics-introduction/mean-time-to-restore-service-mttr.md)
- [Failure Detection (For Change Failure Rate & MTTR)](https://docs.oobeya.io/deployment-analytics/failure-detection-for-change-failure-rate-and-mttr.md): Oobeya sets the health status of each deployment by using four methods: manual health status setting, API call, hotfix pattern detection, and tracking incidents from APM/Incident Management tools.
- [How To Calculate DORA Metrics for GitHub](https://docs.oobeya.io/deployment-analytics/how-to-calculate-dora-metrics-for-github.md): Oobeya tracks deployment pipelines and calculates accurate DORA Metrics from commit to prod deployment (not PR Merged). No changes required to pipelines; effortlessly integrates with current tools.
- [How To Calculate DORA Metrics for Azure DevOps](https://docs.oobeya.io/deployment-analytics/how-to-calculate-dora-metrics-for-azure-devops.md): Oobeya tracks deployment pipelines and calculates accurate DORA Metrics from commit to prod deployment (not PR Merged). No changes are required to pipelines; simply integrate with current tools.