Correct production concurrency documentation - #12
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📝 WalkthroughWalkthroughThe README documents Railway’s 8 CPUs and 7.5 GiB provided to Node, automatic selection of three concurrent collections, and startup logging of detected limits and concurrency. ChangesRailway concurrency documentation
Estimated code review effort: 1 (Trivial) | ~2 minutes Possibly related PRs
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Inline comments:
In `@README.md`:
- Line 95: Update the README concurrency example to match the worker’s
documented formula: with 8 CPUs and 7.5 GiB, state that automatic concurrency
selects four collections, unless the implementation is intentionally changed to
produce three.
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Pull request overview
Updates runtime/concurrency documentation in the repository README to reflect the production backend’s observed collection concurrency and the resource limits visible to Node at startup.
Changes:
- Corrects the documented production collection concurrency (from four to three).
- Records the runtime-reported CPU/memory limits (8 CPUs and ~7.5 GiB) as observed in worker startup logs.
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Summary
Context
After PR #11 merged, the production backend started successfully and logged:
Railway's dashboard metric rounds/reports the memory allocation differently. The implementation is behaving as designed: after reserving 1.5 GiB and budgeting 1.5 GiB per collection, the runtime limit safely selects three concurrent jobs.
Validation
pnpm exec prettier --check README.mdgit diff --checkSummary by CodeRabbit
COLLECTION_CONCURRENCYis auto-sized based on the runtime’s provided resources (8 CPUs and 7.5 GiB), resulting in selecting three concurrent collections.