Load and soak testing guide

[codebestia]

Write docs/load-testing.md for scripts/loadtest/. The harness seeds a fixture, connects every participant as a socket.io client split across multiple backend nodes to exercise cross-instance fan-out via the Redis adapter, then runs three phases — fan-out latency, presence churn, and a reconnect storm — sampling peak RSS throughout.

Acceptance criteria:

• Documents seed.ts and run.ts, their arguments (--fixture, --nodes, --baseline, --out), and the required local topology
• Explains the recorded metrics (p50/p95/p99 latency, peak memory, error counts) and the pass/fail thresholds
• Documents baseline.json: what it represents, how regression tolerance is applied, and the process for refreshing it
• Explains how the nightly workflow runs this and what to do when it fails

[Dannyorji]

@Dannyorji has applied to work on this issue as part of the Stellar Wave Program's 8th wave.

Hi Maintainer
Can i be assigned this?

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Dannyorji to this issue.

[drips-wave]

Congratulations, @Dannyorji! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on August 31, 2026.

🧑‍💻 @Dannyorji: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

Warning

When opening a PR, please link it to this issue to ensure it gets tracked accurately. Points are awarded when this issue is marked as completed by the maintainer.

🤠 Repo maintainers: Please keep an eye on the contributor's progress and review their work before the due date. You can manage this issue, including adjusting its complexity and points, here.

🌊 Happy Wave 🌊

[github-actions]

Closed by #598, merged into dev.

[drips-wave]

This issue has been completed by @Dannyorji as part of the Stellar Wave Program's 8th Wave 🥳

😎 @Dannyorji: You earned 200 Points for completing this issue! After the current Wave ends, you'll be eligible for a percentage of the Wave's reward pool based on the percentage of total points you've earned. Learn more here. You can also Leave a review to share your experience working on this issue.

🧑‍💻 Repo maintainers: How'd the contributor do? Leave a review to share your experience working with them.