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)

Summary

In this chapter, we covered the topic of testing and its various flavors: unit testing, integration testing, and all kinds of end-to-end testing. We also dived deep into how Delinkcious tests are structured. We explored the link manager unit tests, added a new smoke test, and introduced Telepresence for expediting the edit-test-debug life cycle against a real Kubernetes cluster while modifying the code locally.

That being said, testing is a spectrum that has costs, and just blindly adding more and more tests doesn't make your system better or higher quality. There are many important trade-offs between quantity and quality of tests, such as the time it takes to develop and maintain the tests, the time and resources it takes to run the tests, and the number and complexity of problems that tests detect early. You should have enough context to make those tough decisions...