[DX-885] Addresses conflation discoverability docs gap#3231
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| Consider enabling conflation when: | ||
| - A channel receives frequent updates (even as low as 2-3 messages per second with the same conflation key) and consumers only need the latest value. | ||
| - Your use case involves streaming prices, sensor readings, location coordinates, or other continuously-updating values. |
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All of these are dependent on the point above - either every value is important, or it isn't. It doesn't matter if you're streaming prices, if every message is important you wouldn't use conflation.
Do we need to word this as example use-cases?
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fair, removed this bullet point altogether. The others make the case we want to make
| - You want to reduce message delivery volume and associated costs. | ||
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| <Aside data-type='important'> | ||
| Conflation discards intermediate messages. Within each conflation interval, only the last message for each conflation key is delivered to subscribers. All earlier messages within that window are permanently dropped. They are not stored, not available via history, and cannot be recovered. Do not use conflation for data where every message matters, such as chat messages, transaction events, or ordered commands. |
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Description
Addresses conflation discoverability docs gap as per the llm-eval docs audit
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