docs: update worker tuner type guidance#4601
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lennessyy
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THardy98
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May 21, 2026
| fixed-size tuner with appropriately chosen configuration, but can offer reasonable performance | ||
| without the need for profiling. | ||
| Resource-based slot suppliers are suited to specific use cases. | ||
| A properly configured fixed-size tuner often delivers better performance, so reserve resource-based suppliers for the following scenarios: |
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maybe a bit redundant, we've already stated this earlier:
A fixed-size tuner with appropriately chosen values delivers better performance and more predictable behavior than a resource-based tuner.
| A fixed-size tuner with appropriately chosen values delivers better performance and more predictable behavior than a resource-based tuner. | ||
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| When choosing whether to opt for fixed assignment or resource-based suppliers, consider: | ||
| Each SDK provides sensible defaults for fixed-size slot counts. |
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I might suggest removing the word sensible. The comment is a bit tongue-in-cheek, but the default values are often not ideal
| Each SDK provides sensible defaults for fixed-size slot counts. | ||
| See [Compute defaults by SDK](/develop/worker-tuning-reference#compute-defaults-by-sdk) for the default values per language. | ||
| Start with these defaults and adjust based on profiling. | ||
| Workflow Tasks make minimal demands on CPU and memory, so their slot counts rarely need tuning. |
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I would not suggest this. Number of workflow task slots should be dependent on the workload.
lennessyy
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May 21, 2026
lennessyy
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May 21, 2026
Co-authored-by: Lenny Chen <55669665+lennessyy@users.noreply.github.com>
flippedcoder
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May 21, 2026
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┆Attachments: EDU-6402 docs: update worker tuner type guidance