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AutopilotMonitor/infra
Oliver Kieselbach eca528b9b3 docs(mcp): attribute the cold start — the app is 0.5s of it, the platform is the rest
The boot marks answered the question on the first production cold start, and the
answer overturns the reasoning behind an infrastructure change made earlier today.

  +244ms  node started (startup + module loading)
  +431ms  corpora read from disk          (+187ms)
  +491ms  index read, validated, hydrated  (+60ms for 3.12 MB)
  +504ms  listening
  +677ms  query embedder warm             (background)

Against a 31.5s cold start, the application accounts for half a second. The other
~98% is Container Apps activation: KEDA reacting, pod scheduling, mounting the
236 MB image, starting the container. The container also boots faster than a
development laptop (504ms vs 1273ms), so nothing here is CPU-starved.

Consequences recorded rather than quietly dropped:

- Raising the container to 0.5 vCPU was justified by the embedding model load on
  the cold-start path. Prebaked, that load is 173ms and runs in the background
  where only the first search could wait on it. The justification does not survive
  measurement. The setting stays — it plausibly helps concurrent requests, and at
  scale-to-zero the cost difference is negligible — but the Bicep comment now says
  what is true instead of what was assumed, so nobody re-derives the wrong reason.
- Index size is irrelevant to startup (60ms for 3.12 MB), so the corpus can grow
  freely, and the embedding rounding earns its keep on file size alone.
- The only lever that would actually remove the cold start is minReplicas: 1, at
  roughly 7x the monthly free consumption grant.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-21 22:34:24 +02:00
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