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Mastering Elastic Kubernetes Service on AWS

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

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803231211
Length 448 pages
Edition 1st Edition
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Authors (2):
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Yang-Xin Cao Yang-Xin Cao
Author Profile Icon Yang-Xin Cao
Yang-Xin Cao
Malcolm Orr Malcolm Orr
Author Profile Icon Malcolm Orr
Malcolm Orr
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Toc

Table of Contents (28) Chapters Close

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 27. Other Books You May Enjoy

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...

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