Metrics Quickstart
Set up essential CD metrics in one day and start improving delivery performance
2 minute read
Metrics are crucial for organizational improvement. Without measurement, improvement attempts are aimless. This guide outlines key metrics for Continuous Delivery (CD) and Continuous Integration (CI).

These metrics measure our ability to reliably and sustainably deliver high-quality changes through frequent, small batches.
Continuous Integration is the foundation of Continuous Delivery. These metrics focus on amplifying quality feedback.
These metrics help manage and optimize the overall development workflow.
Set up essential CD metrics in one day and start improving delivery performance
Quick reference guide for key CD metrics with targets and improvement strategies
Time the build stays broken before being fixed - measures team discipline and CI commitment
Time for CI pipeline to complete - critical for fast feedback and should be under 10 minutes
Percentage of changes that result in degraded service or require remediation - a key DORA stability metric
Percentage of code exercised by tests - useful indicator but can be gamed, use with caution
Amount of code written but not yet delivered to production - represents unrealized value and risk
Measure of escaped defects found in production, indicating test effectiveness and quality processes
How often changes are deployed to production - a key DORA metric measuring throughput and team capability
Average time from starting work until release to production - a key flow metric for identifying delivery bottlenecks and improving feedback speed
How often code is integrated to trunk/main - indicator of CI practice maturity and team collaboration
Total time from customer request to delivery in production - measures entire value stream efficiency
Average time to restore service after an incident - a key DORA stability metric measuring recovery capability
Comprehensive view of quality indicators including defects, test coverage, and technical debt
Amount of work completed per iteration - team capacity planning metric that should be used carefully, not as productivity measure
Count of started but unfinished work - leading indicator of flow problems and context switching