Job Metrics
Metrics are
automatically available in the oci_datascience_jobrun
namespace for any
Data Science job run. You don't need to enable
monitoring on OCI resources to get these metrics.
Data Science job run metrics include these dimensions:
- resourceId
-
The OCID of the job run.
- resourceDisplayName
-
The user-supplied display name of the job run.
- shape
-
The Compute instance shape of the job run.
Metric Name | Display Name | Unit | Description | Dimensions |
---|---|---|---|---|
|
CPU Utilization |
Percent |
Activity level from the CPU when a CPU shape is used. Expressed as a percentage of the busy time compared with the total time (busy and idle). |
|
|
GPU Utilization |
Percent |
Activity level from the GPU when a GPU shape is used. Expressed as a percentage of the busy time compared with the total time (busy and idle). |
|
|
Memory Utilization |
Percent |
Disk space currently in use. Expressed as a percentage of the used disk space compared with total disk space. |
|
|
Memory Utilization |
Percent |
Memory currently in use. Measured by pages. The percentage of RAM that is used. It's measured by the number of memory pages used relative to the total number of memory pages. |
|
|
Network Bytes In |
Byte |
Network receipt throughput. Expressed as bytes per second. |
|
|
Network Bytes Out |
Byte |
Network transmission throughput. Expressed as bytes transmitted per second. |
|
Viewing Job Run Metrics
You can view the default metric charts using a job run details page in the Data Science service.
For more information about the emitted metrics, see job run metrics.
If you don't see the metrics data for a job run that you expect, see missing metrics data.