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

EKS Observability

Throughout the book, we’ve looked at how you build EKS clusters and deploy workloads. However, a critical part of any EKS deployment is observability. Observability is the ability to interpret logs and metrics from your cluster/workloads without which you can’t troubleshoot/resolve issues or understand capacity or performance. Observability also includes tracing, which allows you to follow a request as it moves through different EKS workloads (microservices), simplifying troubleshooting in a distributed system.

In this chapter, we are going to discuss the tools and techniques you can use to monitor your clusters and workloads natively on AWS or using third-party tools. We will cover the following topics:

  • Monitoring clusters and Pods using native AWS tools
  • Building dashboards with Managed Service for Prometheus and Grafana
  • Tracing with OpenTelemetry
  • Using machine learning with DevOps Guru