Swift Lessons: Observability
Discover a wide range of topics and in-depth lessons designed to help you build a solid understanding of Observability.
Introduction
- What is Observability
- Importance of Observability in Modern Systems
- Observability vs Monitoring
- The Three Pillars of Observability
- Key Benefits of Observability
- Business Value of Observability
- Observability for Beginners
- Common Observability Pitfalls
- Overview of Observability Ecosystem
- Evolution of Observability
- Observability Landscape 2025
- Telemetry Signals Basics
- SLI and SLO Definition
- Observable vs Non-Observable Systems
- Getting Started Checklist
Logs
- Introduction to Logging
- Structured vs Unstructured Logs
- Centralized Logging with ELK
- Log Retention Policies
- Best Practices for Log Management
- Using Fluentd for Log Collection
- Syslog Integration in Modern Systems
- Log Forwarding Techniques
- Real-time Log Analysis
- Logging Strategies for Microservices
- Parsing Logs with Grok
- Log Alerting Best Practices
- Cloud-Native Log Aggregation
- JSON Logging Patterns
- Logging in Containers
Metrics
- Introduction to Metrics
- Types of Metrics (Counters, Gauges, Histograms)
- Using Prometheus for Metrics Collection
- Building Grafana Dashboards
- High-Cardinality Metrics Pitfalls
- Application Performance Metrics
- Custom Metric Instrumentation
- Using StatsD for Metrics
- Alerting Based on Metrics
- Correlating Metrics and Logs
- White-box vs Black-box Monitoring
- Service Level Indicators
- Rate Aggregations
- Using Thanos for Long-Term Metrics
- Custom Exporters for Prometheus
Traces
- Distributed Tracing Overview
- Introduction to OpenTelemetry
- Jaeger Setup and Usage
- Tracing Asynchronous Workloads
- End-to-End Tracing Best Practices
- Zipkin for Tracing
- Trace Sampling Techniques
- Analyzing Spans and Traces
- Correlation Between Traces and Metrics
- Real-time Visualization of Traces
- Context Propagation Techniques
- Trace ID Correlation
- Sampling Strategies Deep Dive
- Tracing Database Calls
- Service Map Visualization
Tools
- Overview of Observability Tools
- Sentry for Frontend Observability
- Datadog Integration Basics
- New Relic Setup Guide
- Comparing Open Source vs Commercial Tools
- Elastic Observability Stack
- Using Honeycomb.io
- Lightstep Tracing Integration
- OpenTracing vs OpenTelemetry
- Cost Management in Observability Tools
- Navigating Grafana Loki
- Splunk Observability Guide
- AppDynamics Configuration
- Humio Setup
- Dynatrace OneAgent Deployment
Implementation
- Instrumenting a Node.js App
- Instrumenting a Python App
- Instrumentation Without Code Changes
- Custom Instrumentation Use Cases
- Observability in Microservices
- Adding Observability to Serverless
- Tracing with gRPC and REST APIs
- Instrumentation with Middleware
- Observability Design Patterns
- CI/CD Pipeline Observability
- Instrumenting a Java App
- Instrumenting a Go App
- Using eBPF for Observability
- Feature Flags and Observability
- Observability in Container Orchestrators
Use Cases
- Root Cause Analysis with Observability
- Performance Tuning Based on Metrics
- Alerting Strategies with Observability
- Using Observability for DevOps
- Security Insights via Observability Data
- Compliance Auditing with Logs
- SLO/SLI Monitoring with Observability
- Customer Experience Insights
- Operational Intelligence Use Cases
- Troubleshooting with Observability
- User Journey Monitoring
- Business KPI Monitoring
- Incident Response with Observability
- Capacity Planning with Metrics
- Chaos Engineering Observability
Advanced Topics
- High-Volume Data Handling
- Storage and Cost Optimization
- Observability for Serverless
- Multi-Cloud Observability Challenges
- Future Trends in Observability
- Observability at Scale
- Zero Trust and Observability
- Edge Computing and Observability
- AI and ML in Observability
- Building Observability Platforms
- Event-Driven Observability
- Self-Healing Systems
- Data Governance in Observability
- Anomaly Detection with ML
- Observability Maturity Models