KCNA — Chapter 6: Cloud Native Observability
Chapter 6: Cloud Native Observability
Cloud Native Observability is one of the five KCNA exam domains (8% of the exam). This chapter covers monitoring, logging, tracing, and cost management in cloud-native systems.
What You’ll Learn
| # | Topic | Key Concepts |
|---|---|---|
| 1 | Observability Fundamentals | Three pillars, observability vs monitoring, SLIs/SLOs/SLAs |
| 2 | Prometheus and Monitoring | Prometheus architecture, PromQL basics, Grafana |
| 3 | Logging in Kubernetes | Logging patterns, Fluentd/Fluent Bit, EFK/PLG stacks |
| 4 | Tracing and OpenTelemetry | Distributed tracing, Jaeger, OpenTelemetry |
| 5 | Cost Management | FinOps, resource optimization, right-sizing |
KCNA Exam Relevance
The Cloud Native Observability domain tests your understanding of:
- Three pillars of observability — metrics, logs, and traces
- Prometheus — the de facto standard for Kubernetes monitoring
- Logging patterns — centralized logging with Fluentd/Fluent Bit
- Distributed tracing — understanding request flow across services
- OpenTelemetry — the emerging standard for observability data
- Cost management — FinOps practices in cloud-native environments
Chapter Roadmap
Cloud Native Observability
├── Observability Fundamentals
│ └── Three pillars, SLIs/SLOs/SLAs, observability vs monitoring
├── Prometheus and Monitoring
│ └── Architecture, PromQL, Grafana, alerting
├── Logging in Kubernetes
│ └── Patterns, Fluentd, Fluent Bit, EFK, PLG stacks
├── Tracing and OpenTelemetry
│ └── Distributed tracing, Jaeger, OpenTelemetry
└── Cost Management
└── FinOps, right-sizing, resource optimization
Prerequisites
Before starting this chapter, you should be comfortable with:
- Kubernetes architecture and resources (Chapters 2-3)
- Cloud-native architecture principles (Chapter 5)
- Basic understanding of microservices communication
Let’s Get Started
Begin with understanding what observability means and why it’s different from traditional monitoring.
