DORA
Track DORA metrics to measure and enhance your software delivery performance objectively. They provide actionable insights to identify bottlenecks, enabling faster, more stable, and reliable value delivery to your users.

Here are 4 key DORA metrics to consider:
The cycle time is the average duration that Pull requests spend in different stages of the pipeline, including "Coding," "Pickup," "Review," and "Merge."
Deployment PRs represent the average number of Pull Requests merged in the main/master/production branch per week.
This refers to the proportion or percentage of deployments that result in failure or errors, indicating the rate at which changes negatively impact the stability or functionality of the system. Since the definition of Failure is specific to teams, this metric can be configured in multiple ways.
The average time taken to recover from a service or system failure. A lower MTTR indicates a robust and resilient system.
Smart AI-based summary -
On top, you will see a card with the summary of your overall Metrics, suggesting the immediate actionables.

Last updated