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

Troubleshooting common issues on Fargate

The most common issue related to capacity is that occasionally, there will not be enough platform resources, and/or the CPU/RAM combination you want will not be supported. This results in the Pod status always being PENDING. If it is a platform issue, simply waiting and trying later (after 15/20 minutes) may resolve the issue; otherwise, adjust your Pod spec to support a different CPU/RAM combination.

If your Fargate nodes are shown as Not Ready when you run the $ kubectl get nodes command, ensure that the execution role they are using is also configured in the aws-auth ConfigMap, an example of which is shown as follows:

mapRoles: |
    - groups:
      - system:bootstrappers
      - system:nodes
      - system:node-proxier
      rolearn: <Pod_execution_role_ARN>
     ...