---
title: Track memory usage for Workers and Durable Objects in the dashboard
description: The Metrics tabs for Workers and Durable Objects now include a Memory Usage chart that shows V8 isolate memory consumption across percentiles, helping you track memory trends and detect regressions.
image: https://edgetunnel-b2h.pages.dev/changelog-preview.png
---

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## Track memory usage for Workers and Durable Objects in the dashboard

Jun 30, 2026 

[ Workers ](https://edgetunnel-b2h.pages.dev/workers/)[ Durable Objects ](https://edgetunnel-b2h.pages.dev/durable-objects/) 

You can now monitor how much memory your [Workers](https://edgetunnel-b2h.pages.dev/workers/) and [Durable Objects](https://edgetunnel-b2h.pages.dev/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.

![Memory usage chart showing P50, P90, P99, and P999 percentiles with deployment markers](https://edgetunnel-b2h.pages.dev/_astro/2026-06-26-memory-usage.B20y2uNp_2e7cPL.webp) 

Memory usage measures the V8 [isolate](https://edgetunnel-b2h.pages.dev/workers/reference/how-workers-works/#isolates) memory at the time of each invocation, subject to the [128 MB per-isolate limit](https://edgetunnel-b2h.pages.dev/workers/platform/limits/#memory) — a single isolate can handle many concurrent requests and shares memory across them.

Use the Memory Usage chart to:

* **Track memory trends** — Spot gradual increases that may indicate a memory leak before they cause `Exceeded Memory` errors.
* **Correlate with deployments** — Deployment markers on the chart help you identify whether a new version introduced a memory regression.
* **Right-size your Worker** — Understand your baseline memory footprint and how much headroom you have before hitting the 128 MB limit.

For Durable Objects, memory usage reflects the in-memory state an object holds (class properties, caches, active WebSocket connections), which persists across invocations until the object is [hibernated or evicted](https://edgetunnel-b2h.pages.dev/durable-objects/concepts/durable-object-lifecycle/). This state is not preserved across eviction, hibernation, or a crash, so persist anything important to [storage](https://edgetunnel-b2h.pages.dev/durable-objects/best-practices/access-durable-objects-storage/).

To view memory usage, open the **Metrics** tab for your [Worker ↗](https://dash.cloudflare.com/?to=/:account/workers/services/view/:worker/production/metrics) or [Durable Object namespace ↗](https://dash.cloudflare.com/?to=/:account/workers/durable-objects). For Durable Objects, you can filter by DO ID or name to drill down into memory usage for a specific object. You can also query memory usage programmatically via the [GraphQL Analytics API](https://edgetunnel-b2h.pages.dev/analytics/graphql-api/tutorials/querying-workers-metrics/) using the `workersInvocationsAdaptive` dataset — the `quantiles.memoryUsageBytesP50` through `quantiles.memoryUsageBytesP999` fields return percentile values in bytes.

For local memory debugging, you can also [profile memory with DevTools](https://edgetunnel-b2h.pages.dev/workers/observability/dev-tools/memory-usage/) to take heap snapshots and identify specific objects causing high memory usage.

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