Monitoring and Observability Improvements
- Dominant language
- Python
- Stars
- 451
- Forks
- 707
- Avg merge
- 22h 59m
- Merged PRs (30d)
- 91
Description
**Description:**
We need to enhance monitoring and observability across the system to ensure better visibility into application performance, uptime, and reliability. This includes implementing health checks, metrics, alerting, and tracing.
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#### ✅ Tasks
- [ ] **Health Checks**
- Add `/health` and `/readiness` endpoints.
- Ensure these endpoints cover key dependencies (database, cache, external APIs).
- Integrate with orchestration tools (e.g., Kubernetes, Docker) for automated restarts.
- [ ] **Metrics Collection**
- Implement collection of key metrics such as request latency, throughput, and error rates.
- Use Prometheus or an equivalent monitoring tool for metrics scraping.
- Visualize metrics in Grafana or a similar dashboard.
- [ ] **Alerting**
- Set up alerts for critical failures (e.g., API downtime, high error rate, CPU/memory spikes).
- Define clear alert thresholds and escalation policies.
- Integrate alerts with communication tools (Slack, Email, etc.).
- [ ] **Tracing**
- Add distributed request tracing to debug cross-service performance issues.
- Use tools like OpenTelemetry or Jaeger for tracing integration.
- Correlate traces with logs for comprehensive debugging.
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#### 🧠 Expected Outcome
- Faster incident detection and recovery.
- Improved system reliability and transparency.
- Simplified debugging for performance bottlenecks.
- Enhanced operational visibility for developers and DevOps teams.
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#### 📦 Affected Components
- Backend Services
- DevOps / Monitoring Infrastructure
- Logging and Tracing Middleware
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**Priority:** 🔴 High
**Type:** Enhancement
**Assignee:** _TBD_
**Milestone:** `Monitoring & Observability Sprint`
Contributor guide
Research direction
The issue names backend services, DevOps and monitoring infrastructure, and logging and tracing middleware, but no specific files or tests. Start by mapping those components and their existing operational hooks; done means the listed health checks, metrics, dashboards, alerts, and tracing integrations are implemented and their dependency coverage is verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, grafana, kubernetes, prometheus
- Domain
- backend, devops, infrastructure, observability
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100