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HealthLog/docs/self-hosting/scaling.md
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Marc-André Bombeck 67207d725e chore(release): v1.4.41 — iOS perf hotfix, soft-delete completeness, tree hygiene
Eight touch-disjoint waves landed on develop before this release:

- W-INSIGHTS-HOT + W-RECONCILE-INSIGHTS — extract the timeout-stub
  persist helper and wire all seven *-status routes through it, closing
  the recurring ~14 s warm response the iOS client sees on dashboard
  open once the AI provider has stalled once that day.
- W-DELETED-2 — close the remaining three soft-delete reader-tier gaps
  (export bundle, gamification achievements, doctor-report aggregator)
  with a five-route integration-test pin.
- W-ORG — types consolidation into src/types/analytics.ts and
  src/types/backups.ts; prompt directory unification.
- W-FRONTEND-FACTORY — queryKey factory expansion + ESLint rule lift.
- W-IOS-COORD — POST /api/auth/check-user four-branch onboarding
  discovery, identifier matched verbatim, per-IP rate-limited.
- W-SIMPLIFIER — today-intake projection helper extract; unused tx?
  params dropped; 13 knip-flagged dead exports trimmed.
- W-PERF-OPS — v1.4.39 W-SUM legacy-NULL UNION discovery arm retired.
- W-PROCESS-DOCS — pg.Pool sizing operator doc; ESLint rule
  formalisation; knip CI gate staged for v1.4.42 flip.

No migration, no env-var change, no API contract break for iOS v0.5.4.
The new check-user endpoint is an additive surface. AP-2 .p8 key is
installed; SB-5 time-sensitive APNs is live as of this deploy.

pnpm test --run green at 4732 passing / 1 skipped.
pnpm typecheck, pnpm lint, pnpm knip green.
2026-05-21 18:36:17 +02:00

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Scaling: web/worker container split (v1.4 G3)

The default docker compose up launches a single container that runs both the Next.js HTTP server AND the pg-boss worker. That works fine for a personal deployment but is hard to scale horizontally because every replica also runs the full reminder/insight cron schedule.

v1.4 introduces an environment-variable gate so the same image can be deployed in three modes:

HEALTHLOG_PROCESS_TYPE Web Worker Use when
all (default) ✅ ✅ single-host self-hosting
web ✅ ❌ scaling HTTP horizontally
worker ❌ ✅ dedicated job worker

How to split

  1. Edit docker-compose.yml: set HEALTHLOG_PROCESS_TYPE=web on the app service and uncomment the app-worker service block at the bottom (it ships with HEALTHLOG_PROCESS_TYPE=worker baked in).
  2. Make sure both containers see the same DATABASE_URL, ENCRYPTION_KEY (or ENCRYPTION_KEYS), and API_TOKEN_HMAC_KEY.
  3. docker compose up -d --build.

Both containers connect to the same Postgres. pg-boss claims jobs atomically via row-level locking, so it is safe to run multiple worker replicas — they will share the load.

Healthchecks

  • app (web) healthcheck: wget /api/version every 30s.
  • app-worker does not expose a port; its liveness is reported into the worker_status table on every reminder pass and surfaced through /api/admin/worker-status.

The web container does NOT depend on the worker, and vice versa, so neither container's startup can deadlock the other. The shared dependency is Postgres; both wait on db: condition: service_healthy.

Caveats

  • Background tasks that touch user-scoped Wide Events (e.g. reminder notifications) emit telemetry from the worker; configure LOKI_* env vars on the worker if you want them.
  • The off-host backup job runs in the worker only. The admin POST /api/admin/backup/test endpoint runs in the web container and exercises the same S3 credentials — set BACKUP_* env vars on BOTH.
  • The startup gate (assertSubsystemEnabled) refuses to boot the reminder worker when HEALTHLOG_PROCESS_TYPE=web, so an accidental cross-mode invocation aborts immediately instead of silently doubling cron load.

Postgres connection-pool sizing (v1.4.40 W-POOL)

Every container that boots the HealthLog image opens its own pg.Pool against the configured DATABASE_URL. The pool ceiling is 20 connections per container by default (raised from the library default of 10 in v1.4.40 to keep the dashboard's analytics fan-out from starving every other query during a cold mount).

Plan total Postgres slots as container_count × DATABASE_POOL_MAX. A stock Postgres 16 container ships with max_connections = 100, so the safe envelope is:

Web replicas Worker replicas Total containers Pool slots used Headroom under 100
1 0 1 20 80
1 1 2 40 60
2 1 3 60 40
3 1 4 80 20
4 1 5 100 0 (do not exceed)

Once the table tips into the "0 headroom" row, every other client of the same Postgres — psql sessions, ad-hoc backups, the Prisma CLI during a migration deploy — will get FATAL: sorry, too many clients already. Either raise max_connections on the Postgres side, lower DATABASE_POOL_MAX, or front the database with PgBouncer in transaction-pooling mode.

Overriding the per-container pool ceiling

Set DATABASE_POOL_MAX to a positive integer on every container that needs a non-default ceiling — both web and worker pick up the same env var:

# docker-compose.yml — example for a 6-container deployment
services:
  app:
    image: ghcr.io/mbombeck/healthlog:latest
    environment:
      DATABASE_POOL_MAX: "12"     # 6 containers × 12 = 72 < 100
      HEALTHLOG_PROCESS_TYPE: web

Rules of thumb:

  • Each web replica's hottest path (/api/analytics fan-out, capped at p-limit(4) per v1.4.40 W-POOL) consumes 4 concurrent slots. Keep DATABASE_POOL_MAX ≥ 8 so a single power-user request never exhausts the pool of one container.
  • Worker replicas mostly use 1 connection per active pg-boss job; DATABASE_POOL_MAX = 8 is plenty unless you raised the pg-boss teamConcurrency.
  • If you raise Postgres max_connections past 100, prefer raising DATABASE_POOL_MAX over adding more containers — fewer, fatter Node processes amortise the V8 footprint better than many thin ones.

Why the default is 20

The v1.4.39 empirical cold-mount trace showed thick /api/analytics holding ≥ 8 of the 10 default pool slots for 6.5 s on a 347 k-row tenant, starving every other dashboard query for the duration. The 20-slot default — paired with the p-limit(4) cap on the analytics fan-out — keeps 16 slots free for the rest of the dashboard while still sitting well under Postgres's 100-slot stock ceiling.

The implementation lives in src/lib/db.ts → getPoolMax(); the rationale and the audit trail live in .planning/round-v1439-empirical-trace.md § B2 and the v1.4.40 W-POOL phase report.