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)

Creating a data strategy

One the most important responsibilities of a software system is to manage data. There are many types of data, and most of the data, should survive any failure of the system or you should be able to reconstruct it. Data often has complex relationships with other data. This is very explicit with relational databases, but exists in other types of data, too. Monoliths typically use large data stores that keep all the related data and, as a result, can perform queries and transactions over the entire set of data. Microservices are different. Each microservice is autonomous and responsible for its data. However, the system as a whole needs to query and operate over data that is now stored in many independent data stores and managed by many different services. Let's examine how to address this challenge using best practices.

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