title: “DORA - Mean Time to Restore Service” description: > DORA - Mean Time to Restore Service sidebar_position: 20
What is this metric?
The time to restore service after service incidents, rollbacks, or any type of production failure happened.
Why is it important?
This metric is essential to measure the disaster control capability of your team and the robustness of the software.
Which dashboard(s) does it exist in
N/A
How is it calculated?
MTTR = Total incident age (in hours)/number of incidents.
If you have three incidents that happened in the given data range, one lasting 1 hour, one lasting 2 hours and one lasting 3 hours. Your MTTR will be: (1 + 2 + 3) / 3 = 2 hours.
Below are the benchmarks for different development teams:
Groups | Benchmarks |
---|
Elite performers | Less than one hour |
High performers | Less one day |
Medium performers | Between one day and one week |
Low performers | More than six months |
Data Sources Required
This metric relies on:
Deployments
collected in one of the following ways:- Open APIs of Jenkins, GitLab, GitHub, etc.
- Webhook for general CI tools.
- Releases and PR/MRs from GitHub, GitLab APIs, etc.
Incidents
collected in one of the following ways:- Issue tracking tools such as Jira, TAPD, GitHub, etc.
- Bug or Service Monitoring tools such as PagerDuty, Sentry, etc.
- CI pipelines that marked the ‘failed’ deployments.
Transformation Rules Required
This metric relies on:
- Deployment configuration in Jenkins, GitLab or GitHub transformation rules to let DevLake know what CI builds/jobs can be regarded as
Deployments
. - Incident configuration in Jira, GitHub or TAPD transformation rules to let DevLake know what CI builds/jobs can be regarded as
Incidents
.
How to improve?
- Use automated tools to quickly report failure
- Prioritize recovery when a failure happens
- Establish a go-to action plan to respond to failures immediately
- Reduce the deployment time for failure-fixing