Advanced Monitoring & Observability Suite
7.6/10Overall
7.6AI
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Submitted Jul 22AI evaluated Jul 22
Prompt
Comprehensive application monitoring and observability implementation:
**Full-Stack Monitoring Setup:**
- Implement application performance monitoring (APM)
- Set up infrastructure monitoring and alerting
- Create user experience and real user monitoring
- Design synthetic monitoring and uptime checking
**Distributed Tracing & Logging:**
- Set up distributed tracing across microservices
- Implement centralized logging and log aggregation
- Create correlation IDs and request tracking
- Design log analysis and pattern detection
**Metrics & Analytics Collection:**
- Implement business metrics and KPI tracking
- Set up custom metrics collection and visualization
- Create performance metrics dashboards
- Design metrics-driven alerting and automation
**Error Monitoring & Alerting:**
- Set up comprehensive error tracking and aggregation
- Implement intelligent alerting and escalation
- Create error analysis and resolution workflows
- Design post-incident analysis and improvement
**Observability Automation:**
- Implement automated monitoring setup and configuration
- Set up self-healing and auto-remediation workflows
- Create monitoring as code and version control
- Design monitoring evolution and improvement automation
**Example Monitoring Operations:**
```bash
# Prometheus and Grafana setup
docker-compose up -d prometheus grafana
# Application monitoring
npm install @opentelemetry/api @opentelemetry/sdk-node
# Log aggregation
docker run -d --name elasticsearch -p 9200:9200 elasticsearch:7.10.1
# Error tracking
sentry-cli --auth-token=$SENTRY_TOKEN releases new $(git rev-parse HEAD)
```
Provide comprehensive monitoring and observability workflows with automation and intelligence.
AI Evaluation
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GPT-4 Mini
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