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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27. Other Books You May Enjoy

Understanding scaling in EKS

When we consider scaling in any system or cluster, we tend to think in terms of two dimensions:

Increasing the size of a system or instance, known as vertical scaling
Increasing the number of systems or instances, known as horizontal scaling

The following diagram illustrates these options.

Figure 18.1 – General scaling strategies

The scaling strategy is closely linked with the resilience model, where you have a traditional master/standby or N+1 resilience architecture, such as a relational database. Then, when you increase capacity, you normally need to scale up (i.e., vertically) by increasing the size of your database instances. This is due to the limitations of the system architecture.

In K8s, the resilience model is based on multiple worker nodes hosting multiple pods with an ingress/load balancer providing a consistent entry point. This means that a node failure should have little impact. The...