Systems Observability
Master comprehensive observability, metrics, alerting, and SRE practices. Build bulletproof monitoring systems that prevent outages before they happen.
Observability Pillars
- Metrics & KPIs
- Distributed Tracing
- Logs & Events
- Alerting & SLOs
- Incident Response
Industry-Standard Observability Tools
Master the complete monitoring and observability stack used by leading tech companies worldwide.
Grafana Stack Complete
- Prometheus, Loki, Tempo
- Mimir, AlertManager
- PromQL Query Language
- Service Discovery
Grafana & Visualization
- Dashboard Design & Best Practices
- Multi-Data Source Integration
- Alert Rules & Notifications
- Template Variables & Panels
Advanced Logging Stack
- Fluentd, Fluent Bit, Vector
- Logstash, CloudWatch Logs
- Kibana Visualization
- Log Parsing & Enrichment
Distributed Tracing
- Jaeger, Zipkin, AWS X-Ray
- OpenTelemetry Integration
- Performance Analysis
- Dependency Mapping
Enterprise APM & Observability Platforms
Datadog
- Full-stack monitoring platform
- APM & distributed tracing
- Log management & analytics
- Infrastructure monitoring
Dynatrace
- AI-powered observability
- Automatic discovery & mapping
- Root cause analysis
- Digital experience monitoring
New Relic
- Application performance monitoring
- Real user monitoring
- Synthetic monitoring
- Browser & mobile monitoring
AppDynamics
- Business transaction monitoring
- Application topology mapping
- Code-level diagnostics
- End-user experience monitoring
Elastic APM
- Distributed tracing & profiling
- Real user monitoring
- Error tracking & alerting
- Integration with ELK stack
Modern Observability
- OpenTelemetry framework
- Chaos engineering with Gremlin
- Service level objectives (SLOs)
- Error budget management
SRE Methodology & Best Practices
Implement Google's Site Reliability Engineering practices for world-class system reliability.
SLOs & SLIs
Define and measure Service Level Objectives and Indicators for reliability targets.
Error Budgets
Balance reliability with development velocity using systematic error budget management.
Incident Response
Build effective incident management processes and post-mortem culture.
Three Pillars of Observability
Metrics & Time-Series Data
Design comprehensive metrics collection and alerting strategies.
- • RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) methods
- • Custom application metrics and business KPIs
- • Infrastructure and system-level monitoring
- • Automated alerting and escalation policies
Distributed Tracing
Track requests across microservices and identify performance bottlenecks.
- • OpenTelemetry and trace instrumentation
- • Span correlation and context propagation
- • Performance profiling and optimization
- • Dependency analysis and service mapping
Structured Logging
Implement centralized logging with proper structure and searchability.
- • Structured JSON logging and standardization
- • Log aggregation and correlation patterns
- • Security and compliance logging
- • Log retention and archival strategies
Monitoring & Observability Engineering Coaching
90-minute comprehensive observability deep-dive with hands-on implementation
Session Includes:
- Monitoring Stack Setup & Configuration
- SLO/SLI Design & Implementation
- Dashboard Design & Best Practices
- Alerting Strategy & Runbooks
Tools & Resources:
- Monitoring Stack Templates
- SRE Toolkit & Runbooks
- Dashboard Templates Library
- 7-day Implementation Support
