Book Image

Kubernetes in Production Best Practices

By : Aly Saleh, Murat Karslioglu
Book Image

Kubernetes in Production Best Practices

By: Aly Saleh, Murat Karslioglu

Overview of this book

Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you’ll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you’ll be able to leverage Kubernetes to operate and manage your production environments confidently.
Table of Contents (12 chapters)

Implementation principles

In Chapter 1, Introduction to Kubernetes Infrastructure and Production-Readiness, you learned about the infrastructure design principles that we will follow in this book. I would like to start this chapter by highlighting the notable principles that influenced the configuration management solution and the technical decisions in this chapter:

  • Everything as code: In this chapter, we will keep our commitment to having everything in the infrastructure as code – cluster configuration is not an exception. You will use Ansible to achieve this goal by creating a configuration management solution for your Kubernetes cluster.
  • Automation: In the previous chapter, we used Terraform tool to automate infrastructure provisioning. We designed a solution around Terraform that can scale to serve a growing number of clusters without the need to scale up your infrastructure teams. Here, you will create a similar solution to manage the Kubernetes configuration...