Book Image

Cloud Native with Kubernetes

By : Alexander Raul
Book Image

Cloud Native with Kubernetes

By: Alexander Raul

Overview of this book

Kubernetes is a modern cloud native container orchestration tool and one of the most popular open source projects worldwide. In addition to the technology being powerful and highly flexible, Kubernetes engineers are in high demand across the industry. This book is a comprehensive guide to deploying, securing, and operating modern cloud native applications on Kubernetes. From the fundamentals to Kubernetes best practices, the book covers essential aspects of configuring applications. You’ll even explore real-world techniques for running clusters in production, tips for setting up observability for cluster resources, and valuable troubleshooting techniques. Finally, you’ll learn how to extend and customize Kubernetes, as well as gaining tips for deploying service meshes, serverless tooling, and more on your cluster. By the end of this Kubernetes book, you’ll be equipped with the tools you need to confidently run and extend modern applications on Kubernetes.
Table of Contents (22 chapters)
1
Section 1: Setting Up Kubernetes
5
Section 2: Configuring and Deploying Applications on Kubernetes
11
Section 3: Running Kubernetes in Production
16
Section 4: Extending Kubernetes

Understanding failure modes for distributed applications

Kubernetes components (and applications running on Kubernetes) are distributed by default if they run more than one replica. This can result in some interesting failure modes, which can be hard to debug.

For this reason, applications on Kubernetes are less prone to failure if they are stateless – in which case, the state is offloaded to a cache or database running outside of Kubernetes. Kubernetes primitives such as StatefulSets and PersistentVolumes can make it much easier to run stateful applications on Kubernetes – and with every release, the experience of running stateful applications on Kubernetes improves. Still, deciding to run fully stateful applications on Kubernetes introduces complexity and therefore the potential for failure.

Failure in distributed applications can be introduced by many different factors. Things as simple as network reliability and bandwidth constraints can cause major issues....