Read time: 2 minutes
Last edited: Oct 27, 2023
Engineering insights is only available to members of LaunchDarkly's Early Access Program (EAP). If you want access to this feature, join the EAP.
This category contains documentation topics about LaunchDarkly's engineering insights dashboard.
The engineering insights dashboard provides an overview of the following metrics to help you track and optimize your deployments and releases.
These metrics include:
In LaunchDarkly, a deployment is a new code change your team has introduced to an environment, and a release is when you change how customers experience your application. These metrics are often significantly different for teams that have adopted feature flagging, so you need to track both to fully understand how and when changes are going out to your customers.
To provide insight on speed and stability for both deployments and releases, engineering insights includes the following metrics:
- Deployment frequency: The number of deployments per time period. This page includes a table of recent deployments, total rollback deployments, their details, and their statuses. To learn more, read Deployment frequency.
- Release frequency: The number of flag changes per time period. This page includes a table of recent flag changes by change type and flag key. To learn more, read Release frequency.
- Lead time: The time from first code commit to deployment. This page breaks the total lead time into steps, including coding time, pull request (PR) lifespan, deployment wait time, and deployment duration. It also includes a table of recent PRs and the environments you deployed them to. To learn more, read Lead time.
- Flag health: The ratio of stale flags to the total number of temporary flags for the selected environment. This page includes a summary of stale flags and recommendations for which flags can be removed. To learn more, read Flag health.
- Experimentation coverage: The number of flag changes that are associated with an experiment. This page includes a table of recent flag changes by change type and flag key. To learn more, read Experimentation coverage.