# Phase 2 — where the memory actually goes Measured with `scripts/benchmarks/stress-restore.mts` on a **populated** instance, not an empty one: a real backup (4 boards, 51 widgets, 11 integrations) restored through the onboarding restore UI, signed in, then the busiest board (28 items / 16 widget kinds, 28/28 widgets reaching `data-homarr-widget-ready`) opened, reloaded 4×, and soaked idle. Images built locally from known commits so the comparison is not against a stale registry tag: baseline = merge-base `06724cfeb`, branch = `abec79abe`. ## Before / after One instrument, one workload, alternated runs (2 before, 2 after) on the same restored backup: **4 tabs across 2 boards**, 3 reloads each, widget interaction, 2 min idle soak. `before` = merge-base `06724cfeb`, `after` = this branch. Server figures are cgroup anonymous memory; `memory.current` is not used because page cache swings it by 60+ MiB. ### Server memory | stage | before | after | change | | --- | --- | --- | --- | | boot idle | 141.9 MiB | **89.7 MiB** | **−37%** | | after restore | 143.2 MiB | **98.8 MiB** | **−31%** | | after sign-in | 248.7 MiB | **158.5 MiB** | **−36%** | | dashboard loaded | 257.3 MiB | **173.0 MiB** | **−33%** | | after 3 reloads × 4 tabs | 368.4 MiB | 364.3 MiB | **−1%** | | after 2 min idle soak | 332.0 MiB | **232.5 MiB** | **−30%** | | peak | 705.2 MiB | **568.4 MiB** | **−19%** | **The honest caveat, and it matters:** under *sustained* multi-tab load the two builds converge — 368 vs 364 MiB. The wins are at idle, at steady state, and at peak. That is why hammering the app with five tabs did not feel 30% lighter: at that point the footprint is dominated by live widget data and render churn, which this PR does not change. Idle, first load and worst-case are materially better; saturation is not. ### Browser | metric | before | after | change | | --- | --- | --- | --- | | JS event listeners | 10,126 | **7,774** | **−23%** | | DOM nodes | 9,175 | **8,284** | **−10%** | | React fibers (idle board) | 5,224 | **3,588** | **−31%** | | browser JS heap | 55.2 MiB | **51.1 MiB** | **−7%** | ### Cost and neutral metrics | metric | before | after | change | | --- | --- | --- | --- | | container CPU over the run | 22.8 s | 22.8 s | unchanged | | median board load | 710 ms | 506 ms | faster, but ±200 ms run to run | | image size | 410 MB | **398 MB** | −3% | CPU is unchanged at this workload. An isolated measurement of the V8 young-generation bound showed ~8% more CPU on a lighter single-tab run; it does not show up here. ### What produced each win Measured in isolation, cumulatively from the merge-base image: | change | size | effect | | --- | --- | --- | | `--max-semi-space-size=4` | **1 line** | −19% idle, −21% peak server | | `serverExternalPackages` + `mysql2`/`pg` | **1 line** | −21 MiB idle server | | `serverExternalPackages` + 8 more server-only deps | 1 block | −18 MiB loaded server | | one shared board context menu | 3 files | **−23% listeners, −31% fibers** | | integrations barrel diet | ~10 files | −40 MiB under load, 0 at idle | | jsdom → linkedom | 3 files | image size + XSS hardening | | V8 heap cap | 1 line | 0 — a drift ceiling, not a reduction | | cache-invalidation layer + `next-cache-handler` | ~30 files | **0 — deleted** | ## Metric choice `memory.current` moved between **192 and 261 MiB for the same baseline image** across runs, because cgroup v2 counts reclaimable page cache. At idle that split was 144 MiB anon vs 77 MiB page cache. Everything below therefore reports **anonymous memory**, which was stable to ±2.5 MiB across repeated runs of the same image. ## Aggregate: branch vs merge-base | stage | baseline | branch | delta | | --- | --- | --- | --- | | boot idle | 139.2 / 144.1 | 115.2 / 99.0 | **−24%** | | board loaded (28 widgets) | 255.2 / 260.4 | 228.1 / 230.2 | **−11%** | | after 4 board reloads | 401.4 / 384.0 | 358.8 / 362.6 | **−8%** | | image size | 410 MB | 388 MB | −5% | ## Attribution — this is the part that matters Built cumulatively from the baseline image, one change at a time: | config | boot idle anon | verdict | | --- | --- | --- | | baseline | 139.2 | — | | + integrations barrel diet | 139.5 | **no idle effect** | | + Redis clients 6 → 2 | 139.3 | **no idle effect** | | + `serverExternalPackages: mysql2, pg` | **118.6** | **−21 MiB — the entire idle win** | | branch (everything) | 115.2 / 99.0 | no further gain beyond the above | | change | diff size | idle | under load | | --- | --- | --- | --- | | `serverExternalPackages` + `mysql2`/`pg` | **1 line** | **−21 MiB** | −25 MiB | | integrations barrel diet | ~10 files, +119 lines | ~0 | −40 MiB (±25 noise) | | Redis clients 6 → 2 | 4 files | ~0 | ~0 | | V8 heap cap (`HOMARR_MAX_OLD_SPACE_SIZE=512`) | 1 line | ~0 | ~0 | | cache invalidation + `next-cache-handler` | ~30 files, 66 call sites, ~290 lines | **0** | **0** | ### Why one config line beats the whole module-graph refactor `packages/core/src/infrastructure/db/drivers/index.ts` statically imports all three drivers, so `mysql2` and `pg` are in the graph even when `DB_DRIVER=better-sqlite3`. Bundled, their full transitive graphs are inlined into the boot-loaded server chunks; marked external they become a `require()` that the sqlite path never reaches. Verified inside the images: | image | server chunks | `mysql2` in `node_modules` | | --- | --- | --- | | baseline | 108,336 KB | no — it was inlined into the chunks | | + external pkgs | 94,936 KB | yes — traced, loaded only on demand | | branch | 98,084 KB | yes | This is fix-catalog **F6 ("load only the configured DB driver")** achieved by one config line, after the dynamic-`import()` attempt was reverted for breaking Vitest. ### The V8 heap cap is a safety ceiling, not a reduction `branch-cap4096` (cap effectively removed) matched `branch` at every stage — idle 99.0 vs 115.2, board loaded 230.2 vs 228.1, after stress 362.6 vs 358.8. The workload never approaches a 512 MB old space, so the cap cannot reduce steady-state usage. It is still worth keeping as one line: baseline's soak hit a 543.8 MiB anon sample, and capped baseline topped out at 347.5 MiB, which is exactly the unbounded-drift protection issue #5301 needs. It should not be described as a memory saving. ### The cache layer is provably dead code On the current branch state there are **0** `"use cache"` directives, **0** `cacheTag()`, **0** `cacheLife()`, **0** `unstable_cache`, and no tagged `fetch` in application source — and `cacheHandlers`/`cacheComponents` have both been removed from `next.config.ts`. `packages/next-cache-handler` is referenced only by a `package.json` dependency line; nothing imports it. The 66 remaining `invalidate*` call sites call `revalidateTag` on tags nothing ever registers, with no handler to receive them, inside a `try/catch` that swallows the resulting out-of-scope error. Zero functional effect, ~30 files of churn. ## Verification after trimming The three zero-effect changes were removed (`next-cache-handler`, cache-tags/ cache-invalidation and its 66 call sites, Redis 6 → 2 — keeping the `pubSub:last:*` TTL). Re-measured to confirm nothing regressed: | stage | baseline | branch before trim | after trim | | --- | --- | --- | --- | | boot idle | 139.2 / 144.1 | 115.2 / 99.0 | **120.0** | | board loaded | 255.2 / 260.4 | 228.1 / 230.2 | **229.5** | | after 4 reloads | 401.4 / 384.0 | 358.8 / 362.6 | **357.0** | | peak | 684.8 / 710 | 679.8 / 673 | **599.5** | | image | 410 MB | 388 MB | **388 MB** | Identical within run-to-run noise at every stage, lowest peak of any config, and 28/28 widgets rendered — so **−883 lines and −18 files cost nothing**. Diff against the merge-base went from 100 files / 3,336 insertions to 82 files / 2,484. ## Round 2 — GC tuning and wider unbundling Re-run on the second backup, where the demo account is already an admin whose home board is the 28-item board, so the harness modifies nothing (`fixture changes: none`). Every run now also proves the session instead of inferring it (see below) and records CPU seconds plus board-load latency, because every remaining lever trades memory for CPU. | config | idle | board loaded | under load | peak | CPU s | median load | | --- | --- | --- | --- | --- | --- | --- | | round-1 result | 120.0 | 209.6 | 353.9 | 710.6 | 15.8 | 594 ms | | `--max-semi-space-size=2` | 97.1 | 183.5 | 340.5 | 581.6 | 17.3 | 598 ms | | **`--max-semi-space-size=4`** | **97.2** | **183.0** | **306.6** | **560.2** | 17.1 | 570 ms | | **+ wider `serverExternalPackages`** | **90.3** | **164.6** | **302.5** | 594.2 | 16.3 | 549 ms | `--max-old-space-size` only bounds the old generation. V8 sizes the *young* generation generously too (16 MB per semi-space by default) and that slack is resident memory. Bounding it to 4 MB is the single biggest remaining win: **−19% idle, −21% peak**. It is not free — GC runs more often, costing ~8% CPU (15.8 → 17.1 CPU-seconds) — but board-load latency did not regress. 2 MB was not better than 4 MB and cost slightly more CPU. Externalising the remaining server-only packages (winston, drizzle-orm, ical.js, jszip, ldapts, node-unifi, @kubernetes/client-node, linkedom) took another **−18 MiB at board-loaded** with slightly *lower* CPU and latency. The cost is **image size: 388 → 401 MB**, since those packages now ship in `node_modules` rather than being tree-shaken into chunks. Worth it here — RAM is the constrained resource on a self-hosted box — but it is a real trade, not a free win. **Cumulative vs merge-base: idle 141.7 → 90.3 MiB (−36%), board loaded 257.8 → 164.6 MiB (−36%), under load 392.7 → 302.5 MiB (−23%).** ## Final A/B, with repetitions Everything above is one sample per configuration, which is fine for ranking changes but not for a headline. This is the merge-base image against the PR's end state, alternated, on the same backup — 2 runs before, 3 after: | run | idle | board loaded | under load | after soak | peak | | --- | --- | --- | --- | --- | --- | | before #1 | 144.2 | 249.0 | 392.8 | 529.6 | 753.0 | | before #2 | 142.3 | 268.2 | 385.1 | 538.5 | 626.1 | | after #1 | 100.5 | 176.8 | 311.1 | 204.3 | 590.9 | | after #2 | 91.1 | 163.5 | 319.9 | 212.7 | 568.0 | | after #3 | 90.3 | 164.6 | 302.5 | 206.4 | 594.2 | | metric | before (mean) | after (mean) | change | | --- | --- | --- | --- | | boot idle | 143.3 | **94.0** | **−34%** | | board loaded | 258.6 | **168.3** | **−35%** | | under load | 389.0 | **311.2** | **−20%** | | after idle soak | 534.1 | **207.8** | **−61%** | | peak | 689.6 | **584.4** | −15% | The two groups do not overlap on any stage. The before-side idle samples land within 1.9 MiB of each other, which is what justifies treating a ~50 MiB gap as real rather than noise. Earlier single-sample rounds suggested −36%; the repeated figure is **−34%**, and that is the number used in the PR. ## Round 3 — tried, and reported as not a memory win `@scalar/api-reference-react` (a docs SPA behind one admin tab) moved to `next/dynamic` with `ssr: false`, and `@modelcontextprotocol/sdk` to `serverExternalPackages`. | metric | previous build | with round 3 | | --- | --- | --- | | idle | 90.3 / 91.1 / 100.5 | 89.4 | | board loaded | 163.5 / 164.6 / 176.8 | 161.5 | | peak | 568.0 / 590.9 / 594.2 | 563.9 | | image | 401 MB | **398 MB** | | CPU s | 17.0 | 17.5 | Every memory figure lands **inside** the previous build's spread. At the better end of it, but inside — so on one sample this is not a demonstrated reduction and is not counted in the headline. Kept anyway for the deterministic −3 MB image and because a documentation SPA should not be compiled for an SSR pass that discards its output. Recording it here rather than quietly folding it into the total: the whole point of the harness is to stop plausible-sounding changes from being credited with wins they did not produce. ## Getting a build React DevTools will profile ```bash pnpm docker:profiling # builds homarr:performance and verifies it ``` `docker build . -t homarr:performance` on its own produces a **normal** build — the profiling renderer is opt-in, so DevTools will keep reporting "Profiling not supported". Three separate things have to line up, and each fails silently on its own: 1. `reactProductionProfiling` in `next.config.ts` is read **only by the webpack path**. 2. Under Turbopack the equivalent is `next build --profile`, which `apps/nextjs/package.json` passes when `HOMARR_PROFILING=true`. 3. Turbo strips any env var not declared in the task's `env`, so `HOMARR_PROFILING` had to be added to `turbo.json`. Even with all three, the build was still not a profiling one: Next applies the React swap through a **webpack alias** (`getReactProfilingInProduction` → `'react-dom/client$': 'react-dom/profiling'`) that Turbopack never sees, and a Turbopack `resolveAlias` does not catch it either because the vendored entry requires `./cjs/react-dom-client.production.js` relatively. The Dockerfile now performs that same swap directly on the vendored entry, guarded so it fails loudly if React's layout changes. Verify with `scripts/benchmarks/verify-react-profiling.mts `: 2 client chunks carry the profiling renderer with the flag, 0 without. **A caveat worth stating**: this is verified at the *bundle* level, not by driving the real DevTools extension. A Playwright probe that injects a synthetic `__REACT_DEVTOOLS_GLOBAL_HOOK__` cannot settle it — React sends a reduced inject payload to a stub hook that is byte-identical for profiling and production builds, so that probe returns a false negative for both. Confirm the Profiler tab with the real extension. ## Where the re-render churn actually comes from `scripts/benchmarks/measure-rerenders.mts` counts React commits on a board nobody is touching, and attributes each commit to the shallowest component that re-rendered — the point where the update entered the tree. **An idle board commits 73–96 times per minute**, and in 60 s `@mantine/core/Box` re-renders over 30,000 times. That is the churn behind the 650 MB peak: it is transient allocation, not retention. Roughly 80% of those commits enter at the *same place*: an anonymous provider at depth 2 whose props are `[value, children]` and whose value is `{appDir}` — Next.js's internal `HeadManagerContext`. Its value is a fresh object literal on every App Router render, so each one re-renders the entire application below it. The remainder enter around `__next_metadata_boundary__` / ``, which points the same way. So the dominant cost is the **App Router root re-rendering about once a second**, not any individual widget. No polling `router.refresh()` exists in application code, so the trigger is inside Next's own router/metadata handling and is not fixed by anything in this PR. That is the next thing to chase, and it is worth more than any further component-level tuning: everything else is downstream of it. `useTimeAgo` was calling `setState` every second even when the rendered label was unchanged ("3 minutes ago" holds for a minute), so it now compares before setting. This is a correctness fix — idle commits stayed within their 73–96 range afterwards, because the app-root churn dominates and this hook is not what drives it. Recorded as *not* a measured win. ## What is actually hogging the memory Tested directly against the hypothesis that cached base64 images were bloating TanStack Query / Redis. **They are not** — measured on a loaded 4-tab session: | suspect | measured | verdict | | --- | --- | --- | | base64 data-URLs in server heap | **0.01 MiB** (2 strings) | not a factor | | base64 blobs in browser heap | **0.01 MiB** (7 strings) | not a factor | | Redis total | **2.17 MB** | not a factor | | image bytes in Redis | **none** — `image-proxy` stores only URL + headers | not a factor | | React Query `gcTime` | already 5 min, not 24 h | already addressed | What the server heap is actually made of (141 MiB used, 259 MiB RSS): | bucket | size | share of heap | | --- | --- | --- | | **bundled JS source retained as strings** | **41.4 MiB** | **~29%** | | other strings (translations, ids, misc) | 10.3 MiB | 7% | | URLs | 2.0 MiB | 1% | | everything else (objects, code, maps) | ~87 MiB | 62% | **The memory is the code, not cached data.** That is why every cache-tuning idea in the fix catalog measured at zero, and why `serverExternalPackages` — which removes code from the boot-loaded bundle — was the only lever that moved idle memory. > **Correction (later round).** An earlier version of this section claimed "7.86 MiB is > literal duplicate copies" of identical chunk sources. That figure was wrong. It came from > grouping heap-snapshot strings by content, but **V8 truncates string contents to ~1 KiB > when serialising a snapshot**, so the comparison only ever saw each string's first > kilobyte and reported near-identical chunks as identical. Hashing the real files found > **zero byte-identical duplicates among all 3,055 `.next/server/**/*.js` files (77.6 MiB)**. > The chunks that looked like copies are distinct files that happen to begin with the same > vendored module. The real doubling has a different cause — see "Why the source costs > twice what it should" below. `@ioredis/commands` is now external, which removes it from all 10 chunks. Recorded as **bundle hygiene, not a memory win**: idle went 89.7 → 89.4 MiB, inside noise, and board-loaded/peak differences were smaller than the run-to-run spread (one "before" run read 220.6 MiB against 169–173 for identical code). `got` and `@octokit/request-error` were deliberately **not** externalised. They are only transitive dependencies here, and a check inside the image confirmed `got` is **not traced** into `node_modules` — externalising it would have turned a bundled module into a runtime `require` that resolves to nothing, trading zero measured gain for a possible `MODULE_NOT_FOUND` on a code path the benchmarks never hit. ### Where the remaining headroom is Nothing further is available from caches, Redis, or process trimming. The two real levers left are both large: 1. **Ship less server JavaScript.** ~29% of the heap is retained bundle source. Every package moved out of the boot graph pays twice — smaller chunks and less retained source. This is the same lever that produced the −37% idle result. 2. **Stop the App Router re-rendering every second** (see above). That governs the browser side, which is where the 650 MB peak lives. ## Full attribution — every megabyte, top to bottom Everything above measured *totals*. This section measures *composition*: each layer is reconciled against the one above it, so nothing hides in a rounding gap. Tooling: `scripts/benchmarks/attribute-memory.mts` (cgroup → processes → mappings → V8 spaces → loaded code) with `scripts/benchmarks/memory-probe.cjs` injected as a `--require` preload. The probe is diagnostics-only and is never in a shipped image: the harness mounts `scripts/benchmarks` at `/probe` and sets `NODE_OPTIONS=--require /probe/memory-probe.cjs`. ### Layer 1 — the container is one process | process | RSS at steady state | | --- | --- | | **next-server** | **188.1 MiB (95%)** | | redis-server | 4.8 MiB | | nginx (2 procs) | 3.7 MiB | | shells | 1.3 MiB | Redis and nginx are rounding errors. Every question about Homarr's memory is a question about one Node process. ### Layer 2 — where that process's RSS lives Measured from `/proc/<pid>/smaps`. Anonymous mappings cannot be told apart by size, so they are classified by signature: V8 allocates its heap in **256 KiB pages** (`kRegularPageSize`), and pthread reserves ~8 MiB per thread stack. At boot idle (139 MiB RSS): | region | RSS | what it is | | --- | --- | --- | | **node binary (code)** | **54.3 MiB** | the Node runtime's own text pages — **file-backed and shared**, so it counts in RSS but *not* in cgroup `anon` | | V8 heap pages (256 KiB each) | 47.8 MiB | the JS heap | | native malloc / small V8 spaces | 28.2 MiB | musl arenas, Buffers | | V8 code range / trusted space | 4.8 MiB | | | JIT code (anonymous executable) | 1.8 MiB | machine code V8 compiled | | better_sqlite3.node | 2.0 MiB | the only native addon that matters | | thread stacks | 0.1 MiB resident | 48 MiB *reserved*, essentially untouched | **This explains the single most confusing number in the whole exercise:** RSS 139 MiB but cgroup `anon` only 89 MiB. The 54 MiB gap is the Node binary itself. It is reclaimable page cache shared with every other Node process on the host, so it is real RSS but not a real cost — which is exactly why `anon` is the metric this PR reports. Address space reserved but not committed: **16.8 GiB**. V8 claims its cage up front. It is not memory. ### Layer 3 — inside the JS heap | V8 space | boot idle | after real use | | --- | --- | --- | | old_space | 42.0 MiB | **97.2 MiB** | | large_object_space | 22.7 MiB | 27.3 MiB | | code_space + code_large | 1.9 MiB | 10.9 MiB | | trusted_space | 3.9 MiB | 8.1 MiB | | new_space | 0.0 MiB | 0.2 MiB | | external (Buffers) | 4.1 MiB | 22.0 MiB | ### Layer 4 — what those objects *are* From a post-GC heap snapshot at steady state (143.8 MiB heapUsed, 1.39M nodes): | bucket | size | share of heap | | --- | --- | --- | | **bundled JS source retained as strings** | **41.0 MiB** | **28%** | | ArrayBuffer backing stores | 17.6 MiB | 12% | | object property/element arrays | 16.4 MiB | 11% | | other strings (translations, ids) | 10.3 MiB | 7% | | closures | 5.7 MiB | 4% | | plain objects | 4.5 MiB | 3% | | shapes/maps/descriptors | 6.6 MiB | 5% | | compiled code metadata | ~12 MiB | 8% | Confirmed again, with a dominator-tree analysis this time (`scripts/benchmarks/analyze-heap-dominators.mjs`, real retained sizes rather than shallow histograms): the largest single retainers are `code:` nodes named after chunk files, each holding **0.5–1.4 MiB**, i.e. the Script objects keeping their own source alive. V8 retains a script's source string for as long as any function in it might still be lazily compiled. **The memory is the code, not cached data.** ### Why the source costs twice what it should `.next/server` chunks loaded at boot are 21.7 MiB on disk, but the heap holds 32.4 MiB of source strings. The gap is not duplication — it is character width. A V8 string is either one byte per character (Latin-1) or two. **One character above U+00FF anywhere in a file forces the entire source string to two bytes.** | loaded JS | files | on disk | heap cost | | --- | --- | --- | --- | | pure Latin-1 | 1,025 | 12.25 MiB | 12.25 MiB | | contains ≥1 char > U+00FF | **80** | 9.45 MiB | **18.91 MiB** | Predicted total 31.16 MiB against 32.43 MiB measured — within 4%. Proven directly rather than inferred, by reading one chunk as shipped and again with its non-Latin-1 characters replaced (identical length): ``` _049nb9n._.js 538,519 chars, 2 of them non-Latin-1 as shipped : 1053 KiB per copy -> 2.00 bytes/char ascii variant : 526 KiB per copy -> 1.00 bytes/char ``` **Two characters cost 527 KiB.** The offenders are almost all trivia in dependencies: | chunk | non-ASCII chars | the actual characters | | --- | --- | --- | | `_049nb9n._.js` (+2 siblings) | 2 | `process.versions.icu?"✅":"Y "` | | `[root-of-the-server]__1ipwvlq._.js` | 13,141 | Next's log symbols `○ ⨯ ⚠` | | `_1ew9xg8._.js` (+ssr twin) | 70,175 | a UTF-8 self-test containing `💩` | | zod chunks ×4 | 13,137 | `✖ ${i.message}` | | `app-page-turbo.runtime.prod.js` | 13 | an ellipsis `…` | | `[root-of-the-server]__1xyzm2f._.js` | 13 | **an em-dash in Homarr's own MCP instructions** | Total recoverable: **~9.45 MiB of heap** (≈10% of idle `anon`), by emitting server bundles with `\uXXXX` escapes instead of raw characters. Not implemented here — it means rewriting minified vendor output at build time, and the safety argument needs to be made properly before that ships. Recorded as a measured, mechanistically understood opportunity. ## The peak: one integration was allocating 46 MiB per refresh The steady state above is ~237 MiB RSS. The *peak* during a 4-tab session was 429 MiB RSS / 539 MiB container, and that peak is a completely different phenomenon. Per-stage V8 accounting (`scripts/benchmarks/analyze-probe-stages.mjs`): | stage | rss | old_space | external | **arrayBuffers** | | --- | --- | --- | --- | --- | | boot idle | 138.6 | 42.0 | 4.1 | 0.3 | | board loaded | 254.9 | 95.3 | 22.9 | 3.0 | | nav ×3 | 361.9 | 122.5 | 24.7 | 4.8 | | **4 tabs, 2 boards** | **429.3** | **152.6** | **114.3** | **94.3** | | after 90 s idle | 237.0 | 97.2 | 22.0 | **2.0** | `arrayBuffers` goes **0.3 → 94.3 → 2.0**. It is entirely transient — which is precisely why the app appears to "oscillate between 835 MB and 400 MB" and never settles at the high mark. Soak growth was **−102 MiB/hour**: there is no leak. Tracking large `Buffer` allocations by stack (`HOMARR_PROBE_TRACK_BUFFERS`) put **48.3 MiB in 16 allocations at one site, with a single allocation of 46.3 MiB**: ``` T (/app/apps/nextjs/.next/server/chunks/_1q3xovl._.js:92:32374) process.processTicksAndRejections ``` That function is undici's `fullyReadBody` — the machinery behind `Response.json()`: ```js async function T(A,e,t){ let r=[],s=0; for(;;){ let{done:i,value:o}=await A.read(); if(i) return void e(Buffer.concat(r,s)); r.push(o), s+=o.length } } ``` It holds the chunk list *and* the joined copy at the same moment, so a body of size N costs ~2N at the instant it completes. Capturing the bytes identified the response immediately: ``` 46.3 MiB assembled from 3,946 socket chunks {"data":[{"id":"1251f6db…","websiteId":"f133f10c…","sessionId":"9e02d227…","createdAt":"2026-08-09T… ``` **Umami.** And the cause was in plain source — two call sites requesting `pageSize: "100000"`, i.e. up to 100,000 raw event records: 1. `getEventNamesAsync` downloaded every raw event of the last 30 days **to collect a handful of distinct event name strings**. 2. `getWebsiteEventTimeSeriesAsync` downloaded them to bucket them into a time series. 3. `getMultiEventTimeSeriesAsync` ran (2) for **every tracked event name concurrently** via `Promise.all`, multiplying the resident pages by the number of events. A board with 3 Umami widgets and several tracked events therefore had several ~46 MiB bodies in flight at once, each briefly doubled, plus ~100k parsed objects per response landing in old_space. That is the 500–880 MB. ### The fix | call site | before | after | | --- | --- | --- | | `getEventNamesAsync` | list 100k raw events, collect distinct names | aggregated `/metrics?type=event`, one row per name | | `getWebsiteEventTimeSeriesAsync` | one page of up to 100k records | pages of 1,000, folded into buckets and released | | `getMultiEventTimeSeriesAsync` | `Promise.all` over all event names | sequential | The paging path keeps the existing dual-shape handling: instances that return aggregated `{x,y}` buckets still answer in one request, and an instance that accepts `pageSize` but ignores `page` is detected (repeated first record id) and stopped rather than double-counted. Hitting the page ceiling logs a warning instead of silently undercounting. Covered by `packages/integrations/src/umami/test/umami-integration.spec.ts` (6 tests, new — there were none). ### Result Alternated runs, 2 before and 2 after, same harness and workload, `before` = branch HEAD `f707f6433`, `after` = HEAD + this change. Per-run values are given because the harness's own spread is what decides whether a difference means anything. | metric | before | after | change | before spread / after spread | | --- | --- | --- | --- | --- | | **peak container** | 498.9 MiB | **398.5 MiB** | **−20%** | [461.6, 536.3] / [387.0, 410.0] | | **peak node RSS** | 452.4 MiB | **353.3 MiB** | **−22%** | [432.7, 472.2] / [355.6, 350.9] | | **peak during 4 tabs** | 498.5 MiB | **356.3 MiB** | **−29%** | [460.8, 536.3] / [341.8, 370.8] | | **peak arrayBuffers** | 95.8 MiB | **6.6 MiB** | **−93%** | [95.7, 95.8] / [6.4, 6.7] | | largest single allocation | 46.4 MiB | **2.4 MiB** | −95% | identical in both runs | | post-soak steady state | 324.2 MiB | 322.5 MiB | −1% | [337.7, 310.7] / [280.7, 364.4] | | boot idle | 119.4 MiB | 125.8 MiB | +5% | [130.0, 108.8] / [152.8, 98.8] | | median board load | 526 ms | 523 ms | −1% | [389, 663] / [401, 645] | | CPU over the run | 19.5 s | 20.4 s | +4% | [19.6, 19.4] / [20.3, 20.4] | Every peak metric separates cleanly — the two sides' ranges do not overlap. Two rows do **not** support a claim and are listed so they are not read as one: - **post-soak steady state is inconclusive.** One "after" run finished at 364.4 MiB, above a "before" run at 310.7. This change targets a transient spike, so a steady-state effect was not expected. - **boot idle is noise.** The spread is ±20 MiB on *identical* code (before: 130.0 vs 108.8), which is wider than the apparent difference. Umami's code is not even loaded at boot; it arrives when a board containing the widget renders. The cost is **+4% CPU**, from turning one large request into several smaller ones. Board load latency did not regress. A prediction worth recording, because it confirms the mechanism rather than just the outcome: at `pageSize=1000` the largest allocation measured 0.7 MiB, and at 5,000 it measured 2.4 MiB — 5× the page size, 3.4× the bytes, exactly as a per-page bound implies. ## Why 24 MiB of code is resident before the first request The module cache is a flat list with no parentage, so "what pulled this in" needed the require graph recorded as the loader resolves it (`HOMARR_PROBE_TRACK_REQUIRES=1`, analysed by `scripts/benchmarks/analyze-require-graph.mjs`). At boot idle, having served only `/api/health/ready`: **2,004 edges over 1,121 nodes, 23.97 MiB of source**. | importer | subtree | | --- | --- | | `apps/nextjs/server.js` (everything) | 23.83 MiB / 1,087 files | | `next/dist/server/load-components.js` | 21.75 MiB / 796 files | | **`[root-of-the-server]__0g06wx7._.js`** | **16.10 MiB / 460 files** | | next's own framework code, exclusively | 2.16 MiB / 315 files | Two things follow, and the second is the one that matters: 1. **Next loads all 74 app route bundles at startup**, not on first request. That is framework behaviour, not something this codebase sets. 2. **One subtree of 16.10 MiB / 460 files is reached by the tRPC/API routes *and* by `instrumentation`** — the cron tasks and websocket server. Exclusive attribution for instrumentation is therefore **0 bytes**: everything it touches, an API route touches too. Only 1.10 MiB / 119 files is common to *every* route, so this is not one universal barrel — it is specifically the API surface pulling in every integration and widget request handler. That kills the obvious fix. Deferring `instrumentation` would free nothing, because Next preloads `/api/[...trpc]` at boot and that route reaches the same graph. Cutting this requires the tRPC router to stop referencing every integration eagerly — the same lever the integrations barrel diet started, with roughly 16 MiB of source still behind it. Recorded as measured and understood, not attempted here. ## Measured but not pursued | lever | measured cost | why not pursued | | --- | --- | --- | | in-image Redis (F12) | **8.1 MiB RSS** (6.3 PSS) | The catalog estimated 10–40 MB; the real figure is 8. Removing it means replacing the pub/sub bus for single-instance — real risk for ~5% of the footprint. | | in-image nginx (F13) | **9.2 MiB RSS** (3.1 PSS) | Two processes, but PSS is 3 MiB. It terminates TLS and proxies; not worth the deployment change at this size. | | locale subset (F19) | ~12 MB image | Reduces languages a user can pick — a product decision, not an optimisation, and it does not move RAM. | `next-server` is **225.8 MiB RSS of the ~236 MiB total** at board-loaded, so process-level trimming has little left to give. Further wins have to come out of that one heap. ## Is the measurement actually behind a login? Worth stating explicitly, because "28 widgets rendered" would be meaningless if the board were public. Each run now asserts all three: 1. `access fixture changes: none` — the harness modified nothing in the restored data. 2. `control: anonymous access to /boards/default denied (landed on /auth/login)` — a cookie-less context cannot render the board, so it is genuinely permission-gated. 3. `signed in as demo (session cookie "homarr.session-token" present)` — Auth.js issued a session; leaving `/auth/login` alone is not accepted as proof. Earlier rounds were correct but only *inferred* this from the private board rendering; the assertions now fail the run instead of quietly measuring an anonymous page. ## Round 4 — the client, which the container numbers never showed A real session reached ~880 MB server and a **650 MB browser heap**. The harness had been measuring one tab on one board with no interaction, so it saw none of this. ### What the 650 MB actually is From the captured `.heapsnapshot` (4M nodes, 18.2M edges): - **71,596 live React Fibers** (~35k components). Identified structurally, not by name: the retainer edges are `alternate`, `return`, `child` and `__reactFiber$…`. - ~7,900 SVG element fibers (charts and icons), 1,726 `<td>`, ~88k event listeners. - **Retained heap is only 181 MiB** against a 650 MB peak. Snapshots are taken after a forced GC, so the rest is transient allocation churn from re-rendering — not retention. The trace agrees: **71,850 `UpdateLayer` events**, 41 s in `v8.callFunction`. So the client cost is render volume and re-render churn. Tuning `gcTime` would not have touched it. ### The most-mounted component `@mantine/core/Box` (513 of 3,918 fibers on a 28-widget board). It is Mantine's universal primitive — every Mantine component renders through it — so it is a symptom of how many components are mounted, not a bug in itself. Matching proportions (13% here, 17% in the 650 MB snapshot) make it near-certain that the minified `y` in that snapshot is `Box`. The genuinely suspicious finding was **71 `Menu` → `Popover` → `PopoverDropdown` triplets** mounted on a board that shows 28 widgets. A controlled experiment using the existing `enableRightClickOnWidgets` user flag isolates the cost: | board state | fibers | | --- | --- | | per-item context menus on | 3,918 | | per-item context menus off | 3,554 | **364 fibers, 9%, for menus that are almost never opened** — and it scales with item count. The dropdown *contents* are already lazy; the `Menu`/`Popover`/`PopoverDropdown` wrappers are not. ### The fix: one board-level menu (shipped) `WidgetContextMenuProvider` mounts a single menu for the whole board, anchored to the cursor. Items keep only a `contextmenu`/long-press listener. The dropdown takes the section's gridstack ref as a prop, because the shared menu lives outside any `SectionContext` — reading it from context there crashed the board. Verified with `scripts/benchmarks/verify-context-menu.mts`, run against both builds: | | per-item menus | shared menu | | --- | --- | --- | | menu opens on right-click | PASS | PASS | | menu shows actions | PASS (5) | PASS (5) | | Escape closes it | PASS | PASS | | re-opens on a second widget | PASS | PASS | | idle fibers | 18,670 | **16,278 (−12.8%)** | | fibers added by using the menu | +4,191 | **+4** | Memory, two runs each, four tabs across two boards: | metric | per-item (mean) | shared (mean) | change | | --- | --- | --- | --- | | JS event listeners | 10,128 | **7,774** | **−23%** | | DOM nodes | 9,189 | **8,287** | **−10%** | | browser JS heap | 54.1 MiB | 52.7 MiB | −2.5% | | median board load | 520 ms | 479 ms | faster | | container CPU | 20.4 s | 20.0 s | unchanged | Server memory is unchanged, as expected for a client-only change. One `after-stress` sample read 362 MiB against ~267 for its pair and for both controls — GC timing on a single sample, not a regression. The listener reduction is the one that matters most: the 650 MB session had ~88k listeners, and this removes a per-widget source of them. ### Two earlier attempts, and a broken test A first attempt deferred each item's `Menu` until the first right-click. It was reverted after the gate failed it — but **that verdict was wrong**: the gate used Playwright's `click({ button: "right" })`, which does not emit a `contextmenu` event here, so it failed *shipped code* identically. The "fiber explosion" attributed to that change showed up on the control too. The gate now dispatches a real `contextmenu` event and is validated by passing against unmodified code first. Any optimisation gate that has never been run against the un-optimised build is not evidence — it can only tell you something changed, not that it still works. ### A measurement flaw worth recording The `demo` account in the backup had `completed_board_tour = 0`, so every run before this round was measuring the **first-time-user path with the onboarding tour mounted**. Completing the tour changed the tree by only 38 fibers, so the earlier numbers stand — but the harness was not measuring steady state, and that was luck rather than design. ### Server side A server heap snapshot pulled from a live container: **37 of 70 MiB is strings** (71,287 of them), consistent with the memoised translation payload. Unexplored. ## Recommendation **Keep** — carries the measured win: 1. `--max-semi-space-size=4` — 1 line, the biggest single lever (−19% idle, −21% peak) 2. `serverExternalPackages` — the DB drivers alone were −21 MiB idle; the wider set another −18 MiB at board-loaded, at +13 MB image 3. integrations barrel diet — the under-load win 4. V8 heap cap — 1 line, bounds the pathological drift (label it as a ceiling) 5. jsdom → linkedom — image size + a genuine XSS hardening; a `jsdom` import costs ~136 MiB RSS whenever the SVG path is hit 6. dead `/api/about` routes + runtime `package.json` glob removal **Drop** — measured at zero, and it is most of the diff: 1. `packages/next-cache-handler` (~290 lines, orphaned) 2. `cache-invalidation.ts`, `cache-tags.ts` and all 66 call sites across ~30 routers 3. Redis 6 → 2 consolidation is defensible hygiene but bought nothing measurable — low priority, not worth the churn on its own Dropping 1 and 2 removes the bulk of the file churn while keeping 100% of the measured memory improvement. ## Reproducing ```bash STRESS_IMAGE=homarr-bench:branch \ STRESS_BACKUP_ZIP=~/Downloads/your-backup.zip \ node --experimental-strip-types scripts/benchmarks/stress-restore.mts ``` The backup is read from that path and never copied into the repo — it contains real integration secrets and the instance's encryption key. ## What has not been verified Stating these plainly, because an unqualified "tested" would be wrong: - **No long-duration soak.** The reports behind #5301 are about growth over *days*; the longest run here is 2 minutes of idle. Nothing here demonstrates the multi-GB drift is fixed — the V8 heap cap bounds it by construction, but that is an argument, not a measurement. - **Single user, single browser.** No concurrent users, no multi-instance (`REDIS_IS_EXTERNAL=true`) deployment, no non-SQLite database. The DB-driver unbundling in particular is only exercised on the SQLite path. - **The React DevTools Profiler tab itself.** The profiling build is verified at the bundle level; a synthetic devtools hook cannot confirm the tab, so that last step needs the real extension. - **The dominant client cost is unfixed.** The App Router root re-renders ~1×/second and that drives most of the churn. Everything shipped here is downstream of it. - **Only the board path is covered end-to-end.** Manage pages, onboarding and integration flows are covered by CI's E2E suite, not by these benchmarks. - **Two tests are flaky in CI** (`pi-hole`, backup ZIP) and both pass in isolation locally. They are pre-existing and unrelated to these changes, but they mean a green run is not automatic.