The preceding example is merely one, albeit common, example of how you can implement a fan-out pattern. There are many ways to turn one event or trigger into multiple parallel processes. Some options for this are specific to the cloud service you're using. Since the vast majority of my cloud experience is with AWS, I'll cover some alternative architectures. These may be portable to other cloud providers with corollary service offerings under different names.
Serverless Design Patterns and Best Practices
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Serverless Design Patterns and Best Practices
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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 (12 chapters)
Preface
Free Chapter
Introduction
A Three-Tier Web Application Using REST
A Three-Tier Web Application Pattern with GraphQL
Integrating Legacy APIs with the Proxy Pattern
Scaling Out with the Fan-Out Pattern
Asynchronous Processing with the Messaging Pattern
Data Processing Using the Lambda Pattern
The MapReduce Pattern
Deployment and CI/CD Patterns
Error Handling and Best Practices
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