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 the Fargate pricing model

Fargate has a simple pricing model based on the duration for which you use the MicroVM/Pod (per-second granularity) and the vCPU/RAM and disk allocated to it.

If we first look at a 2 CPU/4 GB EC2 instance with 30 GB of disk running 100% of the time, then based on on-demand pricing using the Frankfurt Region as an example, that would cost us approximately $21/month.

If we use a Fargate Pod with 2 CPU/4 GB with 30 GB of disk running for 5 hours every day, based on on-demand pricing in the Frankfurt Region, that would cost us approximately $10/month.

At first glance, we can see that Fargate is less than half the price of an EC2 instance! However, if we just double the duration of the Pod execution time from 5 hours/day to 10 hours/day, then the cost goes up to $35/month, which is quite a bit more. Also, bear in mind that with the EC2 instance, we could run multiple Pods on an instance without incurring any additional costs, whereas with...