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

Testing, releases, and cutovers


The rolling update feature can work well for a simple blue-green deployment scenario. However, in a real-world blue-green deployment with a stack of multiple applications, there can be a variety of inter-dependencies that require in-depth testing. The update-period command allows us to add a timeout flag where some testing can be done, but this will not always be satisfactory for testing purposes.

Similarly, you may want partial changes to persist for a longer time and all the way up to the load balancer or service level. For example, you may wish to run an A/B test on a new user interface feature with a portion of your users. Another example is running a canary release (a replica in this case) of your application on new infrastructure, such as a newly added cluster node.

Let's take a look at an A/B testing example. For this example, we will need to create a new service that uses sessionAffinity. We will set the affinity to ClientIP, which will allow us to forward...