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

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Monitoring clusters and Pods using native AWS tools

One of the key advantages of an AWS deployment of Kubernetes (EKS) over an on-premises deployment of Kubernetes is it comes pre-integrated into CloudWatch, which is the main logging and monitoring platform for AWS. With a standard EKS cluster, you will automatically get control plane logs, EC2 worker node and load balancer (Network or Application Load Balancer) logs and metrics, along with metrics and logs from other AWS services such as databases, message queues, and so on.

Let’s look at how we can create a basic CloudWatch dashboard using standard EC2 metrics to understand the work nodes for our cluster.

Creating a basic CloudWatch dashboard

We’ll use Terraform to create a simple dashboard that shows an aggregated view of all instances that are tagged with a specific cluster name, and a second one that shows each individual node. The code snippet shown next illustrates the basic structure, a data object (which...