Evidence DORA Metrics Dashboard

Data last updated 42 seconds ago

The DORA (DevOps Research and Assessment) metrics are industry-standard measurements that help organisations understand and improve their software delivery performance. These metrics, backed by years of research across thousands of organisations, focus on four key indicators that strongly correlate with organisational success. This dashboard tracks these metrics to help us:

  • Identify bottlenecks in our delivery pipeline
  • Measure the effectiveness of our DevOps practices
  • Benchmark our performance against industry standards
  • Make data-driven decisions for process improvements

Read more about the DORA framework here.


Key Results

Deployment Frequency

22

-76.1% vs. Last Month

Lead Time For Change

3.52

4.1% vs. Last Month

Change Failure Rate

8.0%

14.0% vs. Last Month

Mean Time To Restore (Hours)

5.50

-10.0% vs. Last Month


How do we stack up?

  • Deployment Frequency is rated as Elite 🏆
  • Lead Time For Change is rated as High 💪
  • Change Failure Rate is rated as High 💪
  • Mean Time To Restore is rated as High 💪

Deployment Frequency

Deployment frequency is a key indicator of our development velocity and continuous delivery maturity. Currently, we're achieving 22 deployments per month, which puts us at a Elite performance level. High deployment frequency indicates a continuous delivery pipeline and rapid iteration capability, with teams able to deliver small batches of changes frequently and safely.

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Lead Time For Change

Lead time for changes measures our ability to respond to business needs efficiently. With a current median lead time of 3.52 days, we're performing at a High level. This metric helps identify bottlenecks in our development process, from code commit to production deployment. Shorter lead times typically indicate streamlined review processes and automated testing.

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Change Failure Rate

Our change failure rate of 8.0% places us at a High performance level. This metric reflects the stability and reliability of our deployments, measuring what percentage of changes result in degraded service requiring remediation. Lower failure rates indicate robust testing practices, effective code review processes, and strong quality controls.

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Mean Time To Restore

When incidents occur, quick recovery is crucial. Our current mean time to restore of 5.50 hours puts us at a High performance level. This metric reflects our ability to respond to and resolve service disruptions, with lower times indicating effective incident response processes, good system observability, and robust rollback capabilities.

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If you have found this dashboard useful, have suggestions for future enhancements, or simply are seeking support, do not hestiate to reach out to ash.woods@sparkinsight.tech

Additional dashboards and metrics are available on the SparkInsight Website.