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Overview

CodeAnt AI’s DORA Metrics feature provides comprehensive insights into your software delivery performance using the four key metrics established by the DevOps Research and Assessment team. These metrics help you measure, benchmark, and improve your engineering team’s effectiveness and delivery capabilities.

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Key Features

  • Deployment Frequency: Track how often your team successfully releases to production.
  • Lead Time for Changes: Measure the time from code commit to successful production deployment.
  • Change Failure Rate: Monitor the percentage of deployments causing failures in production.
  • Time to Restore Service: Calculate how quickly your team can recover from production incidents.
  • Historical Trends: Visualize metrics over time to identify patterns and improvements.
  • Team Comparison: Compare performance across different teams or repositories.
  • Benchmarking: See how your metrics compare to industry standards (Elite, High, Medium, Low performers).
  • Custom Time Ranges: Analyze performance over daily, weekly, monthly, or custom periods.

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How It Works

  1. Connect Repositories: Link your repositories to automatically track deployment and incident data.
  2. Configure Tracking: Set up deployment tracking through CI/CD integrations or deployment tags.
  3. Define Failure Criteria: Configure what constitutes a failed deployment (rollbacks, hotfixes, incidents).
  4. Monitor Dashboard: View real-time DORA metrics on your personalized dashboard.
  5. Analyze Trends: Examine historical data to identify performance patterns and bottlenecks.
  6. Set Goals: Establish performance targets based on industry benchmarks.
  7. Export Reports: Generate detailed reports for stakeholder reviews and team retrospectives.