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Add rate limiting to mitigate bot-triggered autoscaling

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
35/100
Issue 類型
功能
描述清晰度
需要釐清
活躍度
冷清

研究方向

No source files or tests are named. Start by inspecting the Render service configuration and autoscaling settings, then compare the available rate-limiting options mentioned in the issue; done means an agreed mitigation is configured and burst traffic no longer causes unnecessary autoscaling.

由索引模型根據 Issue 內容生成。

描述

Summary

Render logs from 2026-03-26 show automated scraping from a single IP (178.22.106.230) causing burst traffic patterns that likely triggered the autoscaler to scale up to 2 instances on March 25.

Evidence

  • Spoofed user-agent: Claims Chrome 130 on Nexus 5 / Android 6.0 — a 2013 device on an unsupported OS. Almost certainly a bot.
  • Burst pattern: ~13 requests in 10 seconds, then ~20+ requests in 2 minutes from the same IP.
  • Autoscale event: Render scaled from 1 → 2 instances on March 25 at 3:39 PM, likely triggered by similar burst traffic.
  • Additional scanner traffic observed from Censys (CensysInspect/1.1) and two IPs with identical unusual user-agents (Firefox 120 on 32-bit Linux).

Impact

  • Unnecessary autoscaling costs on Render Starter plan
  • No actual performance or availability issue — response times remained 3-15ms

Suggested mitigations

  • Add rate limiting (e.g., Render's built-in rate limiting, or Cloudflare in front)
  • Consider bot detection / user-agent filtering for obviously spoofed clients
  • Review Render autoscaling thresholds to avoid scaling on low-volume bot bursts
主要語言
TypeScript
星號
3.9k
分支
414
平均合併
4 小時
30 天內合併 PR
6

環境準備

  • 沒有 Dockerfile 或 Docker Compose 檔案
  • 沒有 Pull Request 範本
  • 閱讀貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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