Google Cloud TPU products make the benefits of Tensor Processing Units (TPUs) available via scalable and easy-to-use cloud computing resource for all ML researchers, ML engineers, developers, and data scientists running cutting-edge ML models.
Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud TPU.
If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps.
Google Cloud TPU logs are collected with Stackdriver and sent to a Cloud pub/sub with an HTTP push forwarder. If you haven’t already, set up a Cloud pub/sub with an HTTP push forwarder.
Once this is done, export your Google Cloud TPU logs from Stackdriver to the pub/sub:
gcp.tpu.cpu.utilization (gauge) | Utilization of CPUs on the TPU Worker as a percent. Shown as percent |
gcp.tpu.memory.usage (gauge) | Memory usage in bytes. Shown as byte |
gcp.tpu.network.received_bytes_count (count) | Cumulative bytes of data this server has received over the network. Shown as byte |
gcp.tpu.network.sent_bytes_count (count) | Cumulative bytes of data this server has sent over the network. Shown as byte |
The Google Cloud TPU integration does not include any events.
The Google Cloud TPU integration does not include any service checks.
Need help? Contact Datadog support.
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