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Monitoring & Maintenance

Keep your AI applications running smoothly. Master observability, error tracking, and performance optimization for production systems.

What You'll Master

Application Logging

Implement comprehensive logging systems that provide visibility into application behavior and help diagnose issues quickly.

  • Structured logging with Winston/Pino
  • Log aggregation with ELK Stack
  • Distributed tracing
  • Log retention policies
  • Audit logging for compliance

Error Monitoring

Detect, track, and resolve errors before they impact users. Build resilient systems with comprehensive error handling.

  • Sentry error tracking
  • Real-time alert systems
  • Error grouping and deduplication
  • Stack trace analysis
  • Incident management workflows

Performance Analytics

Track and optimize application performance. Understand user behavior and system bottlenecks through comprehensive analytics.

  • Application Performance Monitoring (APM)
  • Real User Monitoring (RUM)
  • Custom metrics and dashboards
  • Database query optimization
  • Load testing and capacity planning

Cost Monitoring

Track and optimize infrastructure costs. Build cost-efficient systems without compromising performance or reliability.

  • Cloud cost tracking
  • API usage monitoring
  • Resource optimization
  • Budget alerts and forecasting
  • Cost allocation and chargeback

Tools & Technologies

DataDog
DataDog
New Relic
New Relic
Sentry
Sentry
Grafana
Grafana
Prometheus
Prometheus
ElasticSearch
ElasticSearch

What You'll Build

Observability Platform

Build a comprehensive monitoring solution that provides full visibility into your application stack.

  • • Custom metrics collection
  • • Real-time dashboards
  • • Alert management system
  • • Log analysis pipeline

Incident Response System

Create an automated incident detection and response system with escalation workflows.

  • • Automated error detection
  • • Incident prioritization
  • • Team notifications
  • • Post-mortem tracking

Cost Optimization Tool

Develop a tool to track, analyze, and optimize cloud infrastructure costs across providers.

  • • Multi-cloud cost tracking
  • • Usage pattern analysis
  • • Optimization recommendations
  • • Budget forecasting

Your Learning Journey

1

Logging Basics (Week 1-2)

Implement structured logging. Set up log aggregation. Create searchable log indices. Build your first monitoring dashboard.

2

Error Tracking (Week 3-4)

Set up error monitoring. Configure alerts and notifications. Implement error grouping. Create incident response workflows.

3

Performance Monitoring (Week 5-6)

Track application performance. Identify bottlenecks. Optimize database queries. Implement caching strategies.

4

Cost & Optimization (Week 7-8)

Monitor infrastructure costs. Implement optimization strategies. Set up automated scaling. Build cost-efficient systems.

Ready to Master Production Operations?

Learn to keep systems running smoothly at scale while optimizing costs.