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The Revolte Dashboard provides a comprehensive view of your software delivery lifecycle through DORA (DevOps Research and Assessment) metrics. These metrics help teams measure their velocity, stability, and overall effectiveness. DORA Dashboard

Key Metrics

Revolte automatically tracks the four key DORA metrics across your production services.

1. Deployment Frequency

How often the organization successfully releases to production. High-performing teams aim for frequent, smaller deployments to reduce risk and deliver value faster.

2. Lead Time for Changes

The time from commit to deployment to production. This metric highlights bottlenecks in your development and deployment pipeline.

3. Change Failure Rate

The percentage of deployments causing production failures. A lower rate indicates more stable releases and robust testing processes.

4. Mean Time to Recovery

The average time to resolve production issues. This metric reflects your team’s ability to respond to incidents and restore service quickly.

Performance Insights

Beyond the core DORA metrics, the dashboard provides granular insights into your build and deployment health.

Build Success Rate

Track the percentage of successful builds. High success rates indicate a stable CI process.

Deployment Success Rate

Monitor the reliability of your deployments as they move to production.
The dashboard includes a detailed timeline of Builds vs Deployments, allowing you to visualize:
  • Success vs Failure: Identify patterns in build or deployment failures.
  • Volume Correlation: See how build frequency correlates with deployment volume over time.

Using the Dashboard

Access the DORA Dashboard from your Revolte workspace to:
  • Filter by Environment: Switch between production, qa, and other environments to see stage-specific metrics.
  • Time Range Selection: Analyze performance across specific months or custom timeframes.
  • Service-Level Insights: Drill down into metrics for individual web applications and services.
Consistent monitoring of DORA metrics is the first step toward building a high-performing engineering culture. Use these insights to drive process improvements and automate bottlenecks.