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

Asynchronous requests


In the previous recipe, we were making a single service invocation per request, from the message service to the social service. This has the benefit of being incredibly simple to implement and, when using single-threaded languages, such as Python, Ruby, or JavaScript, is often the only choice. Performing a network call synchronously in this manner is acceptable when you're only doing it once per request–it doesn't matter that the call blocks the thread since you can't respond to the user until the invocation is complete anyway. When you're making multiple requests, however, blocking network calls will severely impact the performance and scalability of your application. What we need is an easy way to make use of Java's concurrency features.

If you're writing your microservices in Scala, you can take advantage of the Future type, which is used to represent an asynchronous computation. The Finagle RPC framework even uses futures as one of its base abstractions for modeling...