Performance optimization for large-scale deployments
- 主要語言
- Go
- 星號
- 0
- 分支
- 0
- PR 合併指標
- 30 天內沒有已合併 PR
描述
## Description
Optimize ZeroTrace for handling thousands of agents and millions of vulnerabilities.
## Optimization Areas
- [ ] Database query optimization
- [ ] Cache strategy refinement
- [ ] Queue processing optimization
- [ ] API response time improvement
- [ ] Memory usage optimization
- [ ] Network I/O optimization
## Performance Targets
- [ ] Support 10,000+ concurrent agents
- [ ] Process 1M+ vulnerabilities per hour
- [ ] API response time < 100ms
- [ ] Database query time < 50ms
- [ ] Memory usage < 2GB per service
## Priority: Medium
**Type**: Performance
**Component**: All
**Estimated Effort**: 2-3 weeks
貢獻指南
研究方向
No files, tests, or entry points are named. Start by mapping ZeroTrace's database, cache, queue, API, memory, and network paths, then establish measurements for the listed scale and response targets; done means meeting all stated concurrency, throughput, latency, query-time, and memory goals.
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- go
- 領域
- api, backend, databases, performance
- Issue 類型
- 重構
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 15/100