Cloudera Docs

Resource usage by Workloads

The Resource Usage chart in Cloudera Observability displays time-series metrics for the current workload based on its duration, providing insights into CPU, memory, GPU Utilization, and GPU memory usage.

Monitoring resource usage helps identify imbalances or bottlenecks across workloads. High utilization of specific workloads may indicate the need to rebalance workloads or scale resources.

  • CPU: Provides a historical view of CPU usage with individual workload granularity. Workload CPU usage is the number of CPU cores used by all pods running on that workload. Hover over to view CPU usage compared to allocated CPU usage.
  • Memory: Provides a historical view of memory usage within the selected Cloudera AI workload. Workload memory usage is the total memory usage of all pods. Hover over to view memory used compared to allocated memory.
  • GPU Utilization: Provides a historical view of GPU usage with individual workload granularity. Hover over to view GPU usage compared to allocated GPU usage in cores.
  • GPU Memory: Provides a historical view of GPU memory usage with individual workload granularity. Hover over to view GPU memory usage compared to allocated GPU usage in MiB.