To monitor the efficiency of the GKE training JobSet, the following two GKE system metrics are available in Preview:

To monitor the efficiency of the GKE training JobSet, the following two GKE system metrics are available in Preview:

• kubernetes.io/jobset/scheduling_goodput: the fraction of time that all the resources required to run the training JobSet are available. • kubernetes.io/jobset/proxy_runtime_goodput: the fraction of time that all required accelerators are productive. This metric provides an estimate of the real runtime goodput.

For details about GKE metrics, see Kubernetes metrics. For details about goodput metrics that are used to measure efficiency, see Monitor goodput with the ML Goodput Measurement library.

You can also view these new GKE metrics in the JobSet monitoring dashboard.