You're reading from Mastering Elastic Kubernetes Service on AWS Deploy and manage EKS clusters to support cloud-native applications in AWS

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781803231211

Length 448 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Yang-Xin Cao

Malcolm Orr

View More author details

Table of Contents (28) Chapters

Preface

1. Part 1: Getting Started with Amazon EKS

2. Chapter 1: The Fundamentals of Kubernetes and Containers FREE CHAPTER

3. Chapter 2: Introducing Amazon EKS

4. Chapter 3: Building Your First EKS Cluster

5. Chapter 4: Running Your First Application on EKS

6. Chapter 5: Using Helm to Manage a Kubernetes Application

7. Part 2: Deep Dive into EKS

8. Chapter 6: Securing and Accessing Clusters on EKS

9. Chapter 7: Networking in EKS

10. Chapter 8: Managing Worker Nodes on EKS

11. Chapter 9: Advanced Networking with EKS

12. Chapter 10: Upgrading EKS Clusters

13. Part 3: Deploying an Application on EKS

14. Chapter 11: Building Applications and Pushing Them to Amazon ECR

15. Chapter 12: Deploying Pods with Amazon Storage

16. Chapter 13: Using IAM for Granting Access to Applications

17. Chapter 14: Setting Load Balancing for Applications on EKS

18. Chapter 15: Working with AWS Fargate

19. Chapter 16: Working with a Service Mesh

20. Part 4: Advanced EKS Service Mesh and Scaling

21. Chapter 17: EKS Observability

22. Chapter 18: Scaling Your EKS Cluster

23. Chapter 19: Developing on EKS

24. Part 5: Overcoming Common EKS Challenges

25. Chapter 20: Troubleshooting Common Issues

26. Index

Why subscribe?

27. Other Books You May Enjoy

EKS Observability

Throughout the book, we’ve looked at how you build EKS clusters and deploy workloads. However, a critical part of any EKS deployment is observability. Observability is the ability to interpret logs and metrics from your cluster/workloads without which you can’t troubleshoot/resolve issues or understand capacity or performance. Observability also includes tracing, which allows you to follow a request as it moves through different EKS workloads (microservices), simplifying troubleshooting in a distributed system.

In this chapter, we are going to discuss the tools and techniques you can use to monitor your clusters and workloads natively on AWS or using third-party tools. We will cover the following topics: