Add documentation on how to monitor CPU, GPU, etc. on training instances #398
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eu9ene
reviewed
Jan 25, 2024
| @@ -57,6 +57,17 @@ We use [Taskcluster taskgraph](https://taskcluster-taskgraph.readthedocs.io/en/l | |||
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| ## Resource monitoring | |||
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| CPU, GPU, RAM, and other metrics are available in GCP. The [Firefox Translations Worker Monitoring Dashboard](https://console.cloud.google.com/monitoring/dashboards/builder/a6c8749a-75e2-490a-a7ea-628960c70ea8;startTime=2024-01-25T14:43:04Z;endTime=2024-01-25T20:43:04Z?project=fxci-production-level1-workers) is a good starting point for observing resource utilization during training. You should filter this dashboard on the `name` of the instance running your training task. You can find this name at the top of the training log as the first part of the `public-hostname`. Eg: | |||
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I also sometimes filter by just name: translations to see all the machines in the pool
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You can do that - but it doesn't play nicely with aggregate or grouped measurements. You will, eg: get the sum of the RAM usage across all machines that match, which may not be what you're looking for.
There may well be other ways to do this though! I've only spent a bit of time playing around with the tool.
eu9ene
approved these changes
Jan 25, 2024
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This should be possible for all instances spawned from this point forward.