Use resource observation to track compute unit (CU), CPU core, and memory consumption across workspaces and queues in EMR Serverless Spark. Filter by time range to analyze usage trends.
View resource metrics
Log on to the EMR console.
In the left-side navigation pane, choose .
On the Spark page, find the target workspace and click its name.
In the left-side navigation pane of the EMR Serverless Spark page, choose .
Click the Resource Observation tab.
Select a time range: 1 hour, 3 hours, 6 hours, 12 hours, 1 day, 7 days, or a custom period. The chart refreshes automatically to show data for the selected range.
Metrics
Metrics are available at two scopes: workspace level (all jobs and sessions in a workspace) and queue level (all jobs and sessions in a specific scheduling queue).
Workspace-level metrics
| Metric | Description |
|---|---|
| Workspace CU*Hours Consumption | Total CU-hours consumed by all jobs and sessions in the workspace. |
| Workspace CU Consumption | Total CUs consumed by all jobs and sessions in the workspace. |
| Workspace cpu Consumption | Total CPU cores consumed by all jobs and sessions in the workspace. |
| Workspace memory Consumption | Total memory consumed by all jobs and sessions in the workspace. |
Queue-level metrics
| Metric | Description |
|---|---|
| Queue CU*Hours Consumption | Total CU-hours consumed by all jobs and sessions in a specific queue. |
| Queue CU Consumption | Total CUs consumed by all jobs and sessions in a specific queue. |
| Queue cpu Consumption | Total CPU cores consumed by all jobs and sessions in a scheduling queue. |
| Queue memory Consumption | Total memory consumed by all jobs and sessions in a scheduling queue. |