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Becoming KCNA Certified

You're reading from   Becoming KCNA Certified Build a strong foundation in cloud native and Kubernetes and pass the KCNA exam with ease

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804613399
Length 306 pages
Edition 1st Edition
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Author (1):
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Dmitry Galkin Dmitry Galkin
Author Profile Icon Dmitry Galkin
Dmitry Galkin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: The Cloud Era
2. Chapter 1: From Cloud to Cloud Native and Kubernetes FREE CHAPTER 3. Chapter 2: Overview of CNCF and Kubernetes Certifications 4. Part 2: Performing Container Orchestration
5. Chapter 3: Getting Started with Containers 6. Chapter 4: Exploring Container Runtimes, Interfaces, and Service Meshes 7. Part 3: Learning Kubernetes Fundamentals
8. Chapter 5: Orchestrating Containers with Kubernetes 9. Chapter 6: Deploying and Scaling Applications with Kubernetes 10. Chapter 7: Application Placement and Debugging with Kubernetes 11. Chapter 8: Following Kubernetes Best Practices 12. Part 4: Exploring Cloud Native
13. Chapter 9: Understanding Cloud Native Architectures 14. Chapter 10: Implementing Telemetry and Observability in the Cloud 15. Chapter 11: Automating Cloud Native Application Delivery 16. Part 5: KCNA Exam and Next Steps
17. Chapter 12: Practicing for the KCNA Exam with Mock Papers 18. Chapter 13: The Road Ahead 19. Assessments 20. Index 21. Other Books You May Enjoy

Summary

In this chapter we’ve learned a lot about Telemetry and Observability. The three telemetry types or signals are logs, metrics and traces which provide valuable insights into the system observed from slightly different perspectives. An observable system is the one that is constantly monitored where we know the state based on the telemetry data that serves as evidence.

We’ve also learned about projects such as OpenTelemetry that can help with instrumentation and simplify the work needed to implement telemetry. Had a quick introduction to projects such as Zipkin and Jaeger for tracing and had a closer look at Prometheus – a fully featured monitoring platform.

Prometheus supports both Push and Pull operating models for metric collection, but dominantly uses Pull model to periodically scrape the metric data at (/metrics endpoint) and save it in TSDB in time-series format. Having metrics in TSDB allows us visualizing the data in software such as Grafana...

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