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If a workflow is struggling, there are often a number of plausible fixes, including:
Changing chunk/partition sizes
Increasing cluster size
Choosing a bigger instance type.
We don't always have strong guidance for users about what to choose in this case. It would be good to include some tests parameterized across these dimensions to better inform coiled users. I know the @gjoseph92 has some work-in-progress towards that end, and @ntabris has expressed interest.
The text was updated successfully, but these errors were encountered:
From my perspective, I'd love for the platform to be able to tell people how to save money running their workloads, and this data would potentially enable some of that (e.g., we can tell you taht your workload would finish faster if you used fewer, larger instances).
If a workflow is struggling, there are often a number of plausible fixes, including:
We don't always have strong guidance for users about what to choose in this case. It would be good to include some tests parameterized across these dimensions to better inform coiled users. I know the @gjoseph92 has some work-in-progress towards that end, and @ntabris has expressed interest.
The text was updated successfully, but these errors were encountered: