Book Image

Kubernetes - A Complete DevOps Cookbook

By : Murat Karslioglu
Book Image

Kubernetes - A Complete DevOps Cookbook

By: Murat Karslioglu

Overview of this book

Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers. Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more. By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently.
Table of Contents (12 chapters)

Technical requirements

It is recommended that you have a fundamental knowledge of Linux containers and Kubernetes in general. For preparing your Kubernetes clusters, using a Linux host is recommended. If your workstation is Windows-based, then we recommend that you use Windows Subsystem for Linux (WSL). WSL gives you a Linux command line on Windows and lets you run ELF64 Linux binaries on Windows.

It's always good practice to develop using the same environment (which means the same distribution and the same version) as the one that will be used in production. This will avoid unexpected surprises such as It Worked on My Machine (IWOMM). If your workstation is using a different OS, another good approach is to set up a virtual machine on your workstation. VirtualBox ( is a free and open source hypervisor that runs on Windows, Linux, and macOS.

In this chapter, we'll assume that you are using an Ubuntu host (18.04, code name Bionic Beaver at the time of writing). There are no specific hardware requirements since all the recipes in this chapter will be deployed and run on cloud instances. Here is the list of software packages that will be required on your localhost to complete the recipes:

  • cURL
  • Python
  • Vim or Nano (or your favorite text editor)