Book Image

Getting Started with Kubernetes - Third Edition

By : Jonathan Baier, Jesse White
Book Image

Getting Started with Kubernetes - Third Edition

By: Jonathan Baier, Jesse 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 (23 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we looked into the core components of HA. We explored the ideas of availability, uptime, and fragility. We took those concepts and explored how we could achieve five nines of uptime.

Additionally, we explored the key components of a highly available cluster, the etcd and control plane nodes, and left room to imagine the other ways that we'd build HA into our clusters using hosted PaaS offerings from the major cloud providers.

Later, we looked at the cluster life cycle and dug into advanced capabilities with a number of key features of the Kubernetes system: admission controllers, the workload API, and CRS.

Lastly, we created a CRD on a GKE cluster within GCP in order to understand how to begin building these custom pieces of software.