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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

Scaling with Kubernetes Event-Driven Autoscaling

KEDA is an open source framework that allows you to scale K8s workloads based on metrics or events. We do this by deploying the KEDA operator, which manages all the required components, broadly consisting of the following:

  • An agent, responsible for scaling the deployment up or down depending on events.
  • A metrics server that exposes metrics from applications or external sources.
  • A ScaledObject custom resource that maintains the mapping between the external source or metric and the K8s deployment, as well as the scaling rules. This effectively creates a corresponding HPA Kind.
  • Internal and external event sources that are used to trigger a KEDA action.

The following diagram illustrates the main KEDA components.

Figure 18.11 – Main KEDA components

Figure 18.11 – Main KEDA components

Now we’ve looked at the concepts behind the KEDA custom metrics, let’s install and test it.

Installing the KEDA...

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