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Expose adaptive target result

See original GitHub issue

We would like to get more information about how many workers the scheduler needs or wants over the cluster runtime.

To solve this we would like to expose the result of adaptive_target via HTTP as a Prometheus metric. An issue we see here is the cost of a run of adaptive_target. Would you be willing to accept a contribution adding a new metric exposing the desired number of workers? Additionally or as an alternative exposing the value in counts.json would also be interesting.

https://github.com/dask/distributed/blob/9429ffe735e3767b427fd0b18aaa29d6a7da8513/distributed/scheduler.py#L4794

Issue Analytics

State:
Created 4 years ago
Comments:5 (5 by maintainers)

Top GitHub Comments

1reaction

mrocklincommented, Nov 4, 2019

Thanks for building out Dask’s prometheus metrics by the way

0reactions

mrocklincommented, Nov 12, 2019

This was done. Closing.

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