Book Image

Serverless Design Patterns and Best Practices

By : Brian Zambrano
Book Image

Serverless Design Patterns and Best Practices

By: Brian Zambrano

Overview of this book

Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 4. Integrating Legacy APIs with the Proxy Pattern

Developing a new API is very often a pleasant experience for developers. Without any legacy code, we engineers can choose our tooling, think through the design process to ensure an enjoyable end user experience, build on top of a serverless platform, and all of the other best practices learned through the ages. However, companies and bosses task many engineers with taking a legacy API and supporting, maintaining, or porting it to a new architecture. Given an already deployed production API that sees constant usage, porting to a serverless system can be akin to changing the engine of a race car while in the middle of a race.

Fortunately, this complicated task can be made much simpler nowadays using the proxy pattern, the idea of which has been around for many years as a software pattern. If the name isn't clear enough, the main ideas are that a layer sits in between the client and backend system, which acts as a proxy, shuffling data...