DevOps Research and Assessment performance indicators for software delivery
Core Idea: DORA metrics measure software delivery performance at the system level rather than individual contributions, focusing on key indicators that correlate with organizational performance.
Key Elements
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DORA (DevOps Research and Assessment) metrics emerged from research by Nicole Forsgren, Jez Humble, and Gene Kim
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Focus on four key metrics that indicate software delivery performance:
- Deployment Frequency - How often an organization successfully releases to production
- Lead Time for Changes - The time it takes from code commit to code running in production
- Mean Time to Recovery (MTTR) - How long it takes to restore service after a failure
- Change Failure Rate - Percentage of changes that result in degraded service or require remediation
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System-level focus:
- Measures "how the system of work works" rather than individual contributions
- Evaluates the health of the overall delivery pipeline
- Considers the flow of technical change into production
Connection to Organizational Performance
- Research shows these metrics correlate with organizational performance
- Allows comparison of performance against industry benchmarks
- Provides concrete improvement targets for delivery optimization
Relationship to Culture
- Correlates with Westrum organizational culture indicators
- High-performing teams typically have generative cultures with:
- High trust and cooperation
- Shared responsibilities
- Bridging between teams
- Failure leading to inquiry rather than blame
Additional Connections
- Broader Context: DevOps Principles (foundation for DORA metrics)
- Applications: Software Delivery Optimization (practical improvements)
- See Also: Team Productivity vs Individual Metrics (contrasting measurement approaches)
References
- North, Dan. "The Worst Programmer I Know" (blog article)
- Forsgren, N., Humble, J., & Kim, G. "Accelerate: The Science of Lean Software and DevOps"
#devops #metrics #software-delivery #performance-measurement #dora
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