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DORA Metrics Cheat Sheet

DORA Metrics Cheat Sheet

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Updated 2026-03-19
Next Topic: GitLab CI CD Cheat Sheet

DORA (DevOps Research and Assessment) is a research program that has identified key metrics for measuring software delivery and operational performance since its research began in 2014. These metrics provide an evidence-based framework for understanding how effectively teams deliver software, combining both throughput and stability dimensions to give organizations actionable insights into their DevOps maturity. One critical insight from DORA's research: speed and stability are not tradeoffs—elite teams excel at both, delivering frequently while maintaining high reliability, challenging the traditional assumption that moving faster sacrifices quality.

What This Cheat Sheet Covers

This topic spans 21 focused tables and 121 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core DORA MetricsTable 2: Performance Benchmarks by TierTable 3: Deployment Frequency MeasurementTable 4: Lead Time Stages and BreakdownTable 5: Change Failure Rate CalculationTable 6: Recovery Time MeasurementTable 7: Metric Collection AutomationTable 8: Dashboard Design Best PracticesTable 9: Team-Level vs Organization-Level MetricsTable 10: Common Implementation PitfallsTable 11: Avoiding Metrics GamingTable 12: Metrics-Driven Improvement StrategiesTable 13: Correlation with Business OutcomesTable 14: Throughput vs Stability BalanceTable 15: Research Methodology and EvidenceTable 16: Trend Analysis Over TimeTable 17: Qualitative vs Quantitative IndicatorsTable 18: Tools and PlatformsTable 19: Platform Engineering ImpactTable 20: Organizational Culture and Westrum ModelTable 21: Advanced Topics and Extensions

Table 1: Core DORA Metrics

MetricExampleDescription
Deployment Frequency
On-demand (multiple deploys/day)
• How often code is deployed to production
• throughput metric measuring team velocity and continuous delivery maturity.
Lead Time for Changes
Commit at 9am → Production at 11am = 2 hours
• Time from code commit to running in production
• measures end-to-end delivery speed including coding, review, testing, and deployment.
Change Failure Rate
5 deployments, 1 requires hotfix = 20%
• Percentage of production deployments causing failure requiring remediation (rollback, hotfix, or incident)
• stability metric reflecting deployment quality.

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