Metrics and Analytics
30 minutes
Metrics and analytics are the lifeblood of DevOps. They provide the data-driven insights needed to optimize software delivery pipelines, improve efficiency, and enhance overall product quality.
Metrics
These metrics provide a foundation. The specific metrics you track will depend on your organization's goals and industry.
| Metric | Formula | Description |
|---|---|---|
Deployment Frequency | # of deployments / time period | How often code is deployed to production |
| Lead Time for Changes | Time from code commit to production | Time taken for code to move from development to production |
Mean Time to Recover (MTTR) | Downtime / # of failures | Average time to restore a service after failure |
Change Failure Rate | # of failed deployments / # of total deployments | Percentage of deployments resulting in failures |
| Cycle Time | Time from code commit to feature release | Total time spent on a piece of work |
| Mean Time Between Failures (MTBF) | Time between failures / # of failures | Average time between system failures |
Defect Escape Rate | # of defects found / # of total defects | Percentage of defects that reach production |
| Build Success Rate | # of successful builds / # of total builds | Percentage of successful build processes |
Test Case Execution Time | Total test execution time / # of test cases | Average time taken to run a test case |
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