Book Image

Hands-On Microservices with Kubernetes

By : Gigi Sayfan
Book Image

Hands-On Microservices with Kubernetes

By: Gigi Sayfan

Overview of this book

Kubernetes is among the most popular open source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure. Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster. By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices.
Table of Contents (16 chapters)

Abstracting storage

At its core, Kubernetes is an orchestration engine used for managing containerized workloads. Note that, here, the keyword is containerized. Kubernetes doesn't care what the workloads are as long as they are packaged in containers; it knows how to handle them. Initially, Kubernetes only supported Docker images, and then, later, it added support for other runtimes. Then, Kubernetes 1.5 introduced the Container Runtime Interface (CRI), and gradually pushed the explicit support for other runtimes out of tree. Here, Kubernetes no longer cared about which container runtime was actually deployed on the nodes and just needed to work with the CRI.

A similar story unfolded with networking, where the Container Networking Interface (CNI) was defined early. The life of Kubernetes was simple. It was left to different networking solutions to provide their CNI plugins...