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

Understanding scaling in EKS

When we consider scaling in any system or cluster, we tend to think in terms of two dimensions:

  • Increasing the size of a system or instance, known as vertical scaling
  • Increasing the number of systems or instances, known as horizontal scaling

The following diagram illustrates these options.

Figure 18.1 – General scaling strategies

Figure 18.1 – General scaling strategies

The scaling strategy is closely linked with the resilience model, where you have a traditional master/standby or N+1 resilience architecture, such as a relational database. Then, when you increase capacity, you normally need to scale up (i.e., vertically) by increasing the size of your database instances. This is due to the limitations of the system architecture.

In K8s, the resilience model is based on multiple worker nodes hosting multiple pods with an ingress/load balancer providing a consistent entry point. This means that a node failure should have little impact. The...