Book Image

Microservices Development Cookbook

By : Paul Osman
Book Image

Microservices Development Cookbook

By: Paul Osman

Overview of this book

Microservices have become a popular choice for building distributed systems that power modern web and mobile apps. They enable you to deploy apps as a suite of independently deployable, modular, and scalable services. With over 70 practical, self-contained tutorials, the book examines common pain points during development and best practices for creating distributed microservices. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so you can copy the code and configuration files and modify them for your own needs. You’ll start by understanding microservice architecture. Next, you'll learn to transition from a traditional monolithic app to a suite of small services that interact to ensure your client apps are running seamlessly. The book will then guide you through the patterns you can use to organize services, so you can optimize request handling and processing. In addition this, you’ll understand how to handle service-to-service interactions. As you progress, you’ll get up to speed with securing microservices and adding monitoring to debug problems. Finally, you’ll cover fault-tolerance and reliability patterns that help you use microservices to isolate failures in your apps. By the end of this book, you’ll have the skills you need to work with a team to break a large, monolithic codebase into independently deployable and scalable microservices.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Extending your services with sidecars


When you start developing microservices, it's common to embed a certain amount of boilerplate into each service. Logging, metrics, and configuration are all functionalities that are commonly copied from service to service, resulting in a large amount of boilerplate and copied and pasted code. As your architecture grows and you develop more services, this kind of setup becomes harder and harder to maintain. The usual result is that you end up with a bunch of different ways of doing logging, metrics, service discovery, and so on, which results in systems that are hard to debug and maintain. Changing something as simple as a metrics namespace or adding a feature to your service discovery clients can require the coordination of multiple teams and code bases. More realistically, your microservices architecture will continue to grow with inconsistent logging, metrics, and service discovery conventions, making it harder for developers to operate, contributing...