Book Image

Introduction to DevOps with Kubernetes

By : Onur Yılmaz, Süleyman Akba≈ü
Book Image

Introduction to DevOps with Kubernetes

By: Onur Yılmaz, Süleyman Akba≈ü

Overview of this book

Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The book begins with an overview of Kubernetes primitives and DevOps concepts. You'll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The book will also guide you in configuring Alertmanager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this book, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence.
Table of Contents (11 chapters)

Kubernetes Platform Options

Kubernetes can run on practically every kind of infrastructure, from a commercial laptop to the high-end servers of cloud providers. It is possible to have fully-managed Kubernetes as a service or create a self-managed cluster on the bare-metal servers in your data center. Choosing which option to use to manage Kubernetes cluster depends on your budget, team, and required flexibility. In this section, Kubernetes platform options are grouped into three as local machine, hosted, and turnkey solutions. Each platform option is discussed in light of the considerations of the previous section and some example products.

Local Machine Solutions

Creating a local cluster is the simplest way of getting started with Kubernetes. The primary approach of these solutions is to install master and node components on the same computer. This leads to having a Kubernetes API and a worker running on the same node, which is suitable for development and testing, but is not...