Pace of Progress
This metric can help you monitor how often your team deploys code to production.
What is Deployment Frequency?
This metric represents the % of deployments causing a failure in production.
What is Change Failure Rate?
Measures the average time it takes to recover from a production failure.
What is Mean Time to Restore (MTTR)?
This metric measures the average time for a single engineering task to move through the delivery phases from ‘code’ to ‘production.
What is Cycle Time?
If your team's deployment frequency has dropped, which other LinearB metrics might you check to identify bottlenecks?
What is Cycle Time or PR Size?
A high Change Failure Rate might indicate the need to improve these two areas before deployment.
What are Testing and Code Review?
LinearB recommends this type of system to automatically capture error and deprecation metrics to reduce MTTR.
What is automated monitoring systems?
Team is unaware the PR has been issued, team is too busy, the PR is too large, causes an increase in this metric.
What is High Review Time?
Higher deployment frequency can help improve which other DORA metric by reducing complexity in each deployment?
What is Change Failure Rate?
Change Failure Rate is calculated by dividing the number of production incidents by this number.
What is the number of deployments?
This action helps ensure that teams are notified promptly about issues, allowing them to address system health concerns as they arise.
What is configuring automated alerts?
Often an indicator that issues or assignments are not being broken into manageable pieces
What is High Coding Time?