Book Image

The Kubernetes Bible

By : Nassim Kebbani, Piotr Tylenda, Russ McKendrick
4 (3)
Book Image

The Kubernetes Bible

4 (3)
By: Nassim Kebbani, Piotr Tylenda, Russ McKendrick

Overview of this book

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.
Table of Contents (28 chapters)
1
Section 1: Introducing Kubernetes
5
Section 2: Diving into Kubernetes Core Concepts
12
Section 3: Using Managed Pods with Controllers
17
Section 4: Deploying Kubernetes on the Cloud
21
Section 5: Advanced Kubernetes

Ensuring HA and FT on Kubernetes

First, let's quickly recap on how we define HA and FT and how they differ. These are key concepts in cloud applications that describe the ability of a system or a solution to be continuously operational for a desirably long length of time. From a system end user perspective, the aspect of availability, alongside data consistency, is usually the most important requirement.

High Availability

In short, the term availability in systems engineering describes the percentage of time when the system is fully functional and operation for the end user. In other words, it is a measure of system uptime divided by the sum of uptime and downtime (which is basically total time). For example, if, in the last 30 days (720 hours), your cloud application had 1 hour of unplanned maintenance and was not available to the end user, it means that the availability measure of your application is . Usually, to simplify the notation when designing systems, the availability...