
If you manage an Infrastructure-as-Code (IaC) pipeline, you eventually need to know how fast it actually runs. Slow Terraform runs cost developer time and money, but tracking down where the time goes used to mean digging through run histories by hand.
Scalr Metrics shows you that performance data directly. It surfaces run timing across all your workspaces, so teams can spot the slow ones and figure out why before they become a problem.

Scalr Metrics turns raw run execution data into performance indicators you can read at a glance. It works from your historical run data, so the picture builds up over time.
You'll find the Metrics feature in the Admin scope under the Observability section. It tracks indicators tied to how long your runs take.
The following metrics are available in the initial release:
This is just the starting point; in the future, you will see data around the average time runs are waiting for approval, total runs in queue, drift detection metrics, and more! Filtering by environment and tags will also make it easier to remove lab or development workspaces that potentially skew the metrics.
Here's what engineering and platform teams get out of it:
To get started, open the Observability section in your Admin Scope.
For more detailed information on setup and usage, please refer to the official documentation:Scalr Metrics Documentation
