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

How does a Deployment object manage revisions and version rollout?

So far, we have only covered making one possible modification to a living Deployment – we have scaled up and down by changing the replicas parameter in the specification. However, this is not all we can do! It is possible to modify the Deployment's Pod template (.spec.template) in the specification and, in this way, trigger a rollout. This rollout may be caused by a simple change, such as changing the labels of the Pods, but it may be also a more complex operation when the container images in the Pod definition are changed to a different version. This is the most common scenario as it enables you, as a Kubernetes cluster operator, to perform a controlled, predictable rollout of a new version of your image and effectively create a new revision of your Deployment.

Your Deployment uses a rollout strategy, which can be specified in a YAML manifest using .spec.strategy.type. Kubernetes supports two strategies...