[Oreilly] Cloud Observability in Action, Video Edition [2024, ENG]

Содержание

Chapter 1. End-to-end observability
Chapter 1. Observability use cases
Chapter 1. Roles and goals
Chapter 1. Example microservices app
Chapter 1. Challenges and how observability helps
Chapter 1. Summary
Chapter 2. Signal types
Chapter 2. Assessing instrumentation costs
Chapter 2. Logs
Chapter 2. Metrics
Chapter 2. Traces
Chapter 2. Selecting signals
Chapter 2. Summary
Chapter 3. Sources
Chapter 3. Compute-related sources
Chapter 3. Storage-related sources
Chapter 3. Network-related sources
Chapter 3. Your code
Chapter 3. Summary
Chapter 4. Agents and instrumentation
Chapter 4. Metrics collection
Chapter 4. OpenTelemetry
Chapter 4. Other agents
Chapter 4. Selecting an agent
Chapter 4. Summary
Chapter 5. Backend destinations
Chapter 5. Backend destinations for logs
Chapter 5. Backend destinations for metrics
Chapter 5. Backend destinations for traces
Chapter 5. Columnar data stores
Chapter 5. Selecting backend destinations
Chapter 5. Summary
Chapter 6. Frontend destinations
Chapter 6. All-in-ones
Chapter 6. Selecting frontends and all-in-ones
Chapter 6. Summary
Chapter 7. Cloud operations
Chapter 7. Alerting
Chapter 7. Usage tracking
Chapter 7. Summary
Chapter 8. Distributed tracing
Chapter 8. Using distributed tracing in a microservices app
Chapter 8. Practical considerations
Chapter 8. Summary
Chapter 9. Developer observability
Chapter 9. Developer productivity
Chapter 9. Tooling considerations
Chapter 9. Summary
Chapter 10. Service level objectives
Chapter 10. Implementing SLOs
Chapter 10. Considerations
Chapter 10. Summary
Chapter 11. Signal correlation
Chapter 11. Using Prometheus, Jaeger, and Grafana for correlation
Chapter 11. Signal correlation support in commercial offerings
Chapter 11. Considerations
Chapter 11. Conclusion
Chapter 11. Summary

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