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)

Getting performance right

Performance is important for many reasons, which we will delve into soon. It is very important to understand when is the right time to try and improve performance. My guiding principle is: make it work, make it right, make it fast. That is, first, just get the system to do whatever it needs to do, however slow and clunky. Then, clean up the architecture and the code. Now, you are ready to take on performance and consider refactoring, changes, and many other factors that can impact performance.

But there is a preliminary step for performance improvements, and that's profiling and benchmarking. Trying to improve performance without measuring what you try to improve is just like trying to make your code work correctly without writing any tests. Not only is it futile, but, even if you actually got lucky and improved the performance, how would you know...