Book Image

Mastering Elastic Kubernetes Service on AWS

By : Malcolm Orr, Yang-Xin Cao (Eason)
5 (1)
Book Image

Mastering Elastic Kubernetes Service on AWS

5 (1)
By: Malcolm Orr, 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)
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

Creating an AWS Fargate profile in EKS

Understanding the AWS Fargate service is interesting, but we only covered it in this book to really give you some background. As Fargate is serverless, you really only need to understand how to get the Kubernetes scheduler to talk to the Fargate service and create the MicroVM, attach it to the network, and deploy the Pod. This is all done through the Fargate Profile, which will be discussed in detail in the following section.

Understanding how the AWS Fargate profile works

When considering how to integrate the Fargate service with EKS, the AWS team made a conscious decision not to make users update their existing K8s manifests to support Fargate. Instead, the profile identifies which namespaces and/or labels will be used to host Pods on Fargate, and no changes are required in the Pod definition. The following diagram illustrates how this process works:

Figure 15.3 – Fargate profile workflow

Figure 15.3 – Fargate profile workflow

The steps...