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

Using circuit breakers


Failures in distributed systems can be difficult to debug. A symptom (spikes in latency or a high error rate) can appear far away from the underlying cause (slow database query, garbage collection cycles causing a service to slow down the processing of requests). Sometimes a complete outage can be the result of a failure in a small part of the system, especially when components of the system are having difficulty handling increases in load.

Whenever possible, we want to prevent failures in one part of a system from cascading to other parts, causing widespread and hard-to-debug production issues. Furthermore, if a failure is temporary, we'd like our system to be able to self-repair when the failure is over. If a specific service is experiencing problems because of a temporary spike in load, we should design our system in such a way that it prevents requests to the unhealthy service, allowing it time to recover before beginning to send it traffic again. 

Circuit breakers...