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

Client-side load balancing


Server-side load balancing is a well-established and battle-tested way to distribute load to an application. It has drawbacks, however, in that there is an upper limit to the amount of incoming connections that a single load balancer can handle. This can be at least partially solved with round-robin DNS, which would distribute load to a number of load balancers, but this configuration can quickly become cumbersome and costly. Load balancer applications can also become points of failure in an already-complex microservices architecture.

An increasingly popular alternative to server-side load balancing is client-side load balancing. In this convention, clients are responsible for distributing requests evenly to running instances of a service. Clients can keep track of latency and failure rates from nodes and opt to reduce the amount of traffic to nodes that are experiencing high latency or high failure rates. This method of load balancing can be extremely effective...