adhit-r / adhit-r/niyama-policy-as-code
📊 Monitoring & Observability
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描述
## Monitoring and Observability Features
### High Priority
- [ ] Implement comprehensive logging system
- [ ] Add metrics collection and monitoring
- [ ] Create health check endpoints
- [ ] Set up alerting for critical issues
- [ ] Add distributed tracing support
### Medium Priority
- [ ] Create monitoring dashboards
- [ ] Implement log aggregation and analysis
- [ ] Add performance monitoring
- [ ] Create SLA/SLO tracking
- [ ] Add custom metrics and KPIs
### Low Priority
- [ ] Implement APM (Application Performance Monitoring)
- [ ] Add synthetic monitoring
- [ ] Create capacity planning tools
- [ ] Add cost monitoring and optimization
- [ ] Implement predictive alerting
## Monitoring Stack
- **Metrics**: InfluxDB + Grafana
- **Logs**: Elasticsearch + Kibana
- **Traces**: Jaeger or Zipkin
- **APM**: Custom or third-party solution
- **Alerting**: Prometheus AlertManager
## Key Metrics to Track
- API response times and error rates
- Database performance and connection pools
- Policy evaluation performance
- System resource utilization
- User activity and engagement
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研究方向
The issue names no files, tests, or entry points. Start by narrowing the many monitoring, logging, metrics, tracing, dashboard, and alerting requests into one defined scope; completion is not measurable until a specific priority and acceptance criteria are chosen.
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評估
- 技術堆疊
- elasticsearch, grafana, prometheus
- 領域
- observability
- Issue 類型
- 功能
- 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
- 20/100