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Getting Started with Kubernetes

Getting Started with Kubernetes

By : Jonathan Baier, White
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Getting Started with Kubernetes

Getting Started with Kubernetes

By: Jonathan Baier, White

Overview of this book

Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale. Based on the recent release of Kubernetes 1.12, Getting Started with Kubernetes gives you a complete understanding of how to install a Kubernetes cluster. The book focuses on core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You will understand cluster-level networking in Kubernetes, and learn to set up external access to applications running in the cluster. As you make your way through the book, you'll understand how to manage deployments and perform updates with minimal downtime. In addition to this, you will explore operational aspects of Kubernetes , such as monitoring and logging, later moving on to advanced concepts such as container security and cluster federation. You'll get to grips with integrating your build pipeline and deployments within a Kubernetes cluster, and be able to understand and interact with open source projects. In the concluding chapters, you'll orchestrate updates behind the scenes, avoid downtime on your cluster, and deal with underlying cloud provider instability within your cluster. By the end of this book, you'll have a complete understanding of the Kubernetes platform and will start deploying applications on it.
Table of Contents (18 chapters)
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Introduction to high availability


In order to understand our goals for this chapter, we first need to talk about the more general terms of high availability and scalability. Let's look at each individually to understand how the pieces work together.

We'll discuss the required terminology and begin to understand the building blocks that we'll use to conceptualize, construct, and run a Kubernetes cluster in the cloud.

Let's dig into high availability, uptime, and downtime.

How do we measure availability?

High availability (HA) is the idea that your application is available, meaning reachable, to your end users. In order to create highly available applications, your application code and the frontend that users interact with needs to be available the majority of the time. This term comes from the system design field, which defines the architecture, interface, data, and modules of a system in order to satisfy a given set of requirements. There are many examples of system design in disciplines from...

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