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Mastering Elastic Kubernetes Service on AWS

Mastering Elastic Kubernetes Service on AWS

By : Malcolm Orr, Yang-Xin Cao, Yang-Xin Cao (Eason)
4.9 (23)
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Mastering Elastic Kubernetes Service on AWS

Mastering Elastic Kubernetes Service on AWS

4.9 (23)
By: Malcolm Orr, Yang-Xin Cao, Yang-Xin Cao (Eason)

Overview of this book

Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You’ll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you’ll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you’ll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you’ll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you’ll be able to effectively manage your own Kubernetes clusters and other components on AWS.
Table of Contents (28 chapters)
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1
Part 1: Getting Started with Amazon EKS
7
Part 2: Deep Dive into EKS
13
Part 3: Deploying an Application on EKS
20
Part 4: Advanced EKS Service Mesh and Scaling
24
Part 5: Overcoming Common EKS Challenges

Scaling Your EKS Cluster

Capacity planning on EKS (and K8s generally) can be hard! If you under- or overestimate your cluster resources, you may not meet your application’s demand or end up paying more than you need. One of the reasons it’s hard is that it can be difficult to know what the expected load will be for your application. With a web application, for example, the load is normally non-deterministic and a successful marketing campaign or an event similar to Amazon Prime Day may see your load triple or quadruple. Some form of cluster/pod scaling strategy is needed to cope with the peaks and troughs of load placed on a modern application.

In this chapter, we will walk through several common strategies and tools that can be used with Amazon EKS and help you understand how to optimize your EKS cluster for load and cost. Specifically, this chapter covers the following topics:

  • Understanding scaling in EKS
  • Scaling EC2 ASGs with Cluster Autoscaler
  • Scaling...

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