Published scale evidence: a load test with a stated method
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 15/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- aws, docker-compose, postgresql
调研方向
Start from the four hot paths named in the issue: GET /api/v1/feature-flags/evaluate/{key}, POST /api/v1/tracking/assign, POST /api/v1/tracking/track and /batch, and the SDK ruleset. Read the Compose stack and, if reachable, the CDK stack to record the deployment shape, then choose a load generator and a method. Done means a committed script, a measured run with RPS, p50/p95/p99 and error rate, and a docs page stating setup and limits. Any billed cloud run needs the founder's approval first.
由索引模型根据 Issue 内容生成。
描述
Events are stored in PostgreSQL, and no throughput figures are published. A team evaluating a self-hosted platform asks "will it hold my traffic?" before anything else, and today there is no answer to point to.
Wanted before launch (founder, 2026-11-02): published scale evidence, a load test with a stated method.
- The hot paths an integrating app drives: flag evaluation (
GET /api/v1/feature-flags/evaluate/{key}), assignment (POST /api/v1/tracking/assign), event tracking (POST /api/v1/tracking/trackand/batch), and the SDK ruleset. - A stated setup: the deployment shape (the Compose stack, and if possible the CDK stack), instance sizes, data volume already in the database, concurrency, duration, and where the load generator runs.
- Results as requests per second and latency percentiles (p50, p95, p99) and the error rate, with the point where it stops keeping up and what saturates first.
- The script and the method committed, so anyone can repeat it; a docs page that states the numbers, the setup and what was not measured.
- Numbers come from a measured run, never estimated; a single wall-clock timing is not a gate.
Where it runs (a laptop, a CI runner, or a billed cloud environment) is decided in the plan; anything that bills waits for the founder at that moment.
- 主要语言
- Python
- 星标
- 0
- 派生
- 4
- 平均合并
- 6 小时 5 分钟
- 30 天内合并 PR
- 453
环境准备
- 提供 Dockerfile 或 Docker Compose 文件
- 有 Pull Request 模板
- 阅读贡献指南
从这里开始
- 先读完整个 Issue，再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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