[Workers] Add memory usage metrics changelog and docs#31695
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- Add changelog entry for memory usage visibility in Workers Metrics tab - Add Memory usage section to Workers observability metrics-and-analytics page - Add screenshot of Memory usage chart
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- Remove broken link to DO metrics page from changelog - Rephrase 'per invocation' to 'at the time of each invocation' to avoid implying per-request allocation - Replace 'Learn more about' with 'Refer to' per style guide
| date: 2026-06-25 | ||
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| You can now monitor how much memory your Worker consumes across invocations with the new **Memory Usage** chart in the Workers Metrics tab, broken down by P50, P90, P99, and P999 percentiles. |
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| You can now monitor how much memory your Worker consumes across invocations with the new **Memory Usage** chart in the Workers Metrics tab, broken down by P50, P90, P99, and P999 percentiles. | |
| You can now monitor how much memory your [Workers](/workers/) and [Durable Objects](/durable-objects/) consume across invocations with the new **Memory Usage** chart in the Workers Metrics tab, broken down by P50, P90, P99, and P999 percentiles. |
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| Memory usage metrics are also available for [Durable Objects](/durable-objects/observability/metrics-and-analytics/). | ||
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| To view memory usage, go to **Workers & Pages**, select your Worker, and open the **Metrics** tab. You can also query memory usage programmatically via the [GraphQL Analytics API](/analytics/graphql-api/tutorials/querying-workers-metrics/) using the `workersInvocationsAdaptive` dataset — the `quantiles.memoryUsageBytesP50` through `quantiles.memoryUsageBytesP999` fields return percentile values in bytes. |
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What about for Durable Objects?
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| Memory usage measures the V8 [isolate](/workers/reference/how-workers-works/#isolates) memory at the time of each invocation. This is the same memory pool subject to the [128 MB per-isolate limit](/workers/platform/limits/#memory) — a single isolate can handle many concurrent requests and shares memory across them. |
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Can we not call this a "pool"? Similar in concept but not literally what this is?
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a single isolate can handle many concurrent requests and shares memory across them.
@iglesiasbrandon @vy-ton need to make sure we are explaining Durable Objects model here / somewhere / link to somewhere — to the extent reader needs to understand this in order to understand what the DO metric is or means
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What this PR does
Adds documentation for the new Memory Usage chart in Workers Observability Metrics tab.
Changes
Changelog entry (
src/content/changelog/workers/2026-06-25-memory-usage-metrics.mdx)Workers metrics docs (
src/content/docs/workers/observability/metrics-and-analytics.mdx)### Memory usagesection between Execution Duration and Invocation StatusesScreenshot (
src/assets/images/changelog/workers/observability/2026-06-25-memory-usage.png)Related
memoryUsageBytesandwasmMemoryBytesfields onworkersInvocationsAdaptive)