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Serverless Design Patterns and Best Practices

Serverless Design Patterns and Best Practices

By : Zambrano
5 (1)
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Serverless Design Patterns and Best Practices

Serverless Design Patterns and Best Practices

5 (1)
By: 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 (12 chapters)
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What this book covers

Chapter 1, Introduction, covers the basics of serverless systems and discusses when serverless architectures may or may not be a good fit. Three categories of serverless patterns are introduced and briefly explained.

Chapter 2A Three-Tier Web Application Using REST, walks you through a full example of building a traditional web application using a REST API powered by AWS Lambda, along with serverless technologies for hosting HTML, CSS, and JavaScript for the frontend code.

Chapter 3A Three-Tier Web Application Pattern with GraphQL, introduces GraphQL and explains the changes needed to turn the previous REST API into a GraphQL API.

Chapter 4, Integrating Legacy APIs with the Proxy Pattern, demonstrates how it's possible to completely change an API contract while using a legacy API backend using nothing other than AWS API Gateway.

Chapter 5, Scaling Out with the Fan-Out Pattern, teaches you one of the most basic serverless patterns around, where a single event triggers multiple parallel serverless functions, resulting in quicker execution times over a serial implementation.

Chapter 6, Asynchronous Processing with the Messaging Pattern, explains different classes of messaging patterns and demonstrates how to put messages onto a queue using a serverless data producer, and process those messages downstream with a serverless data consumer.

Chapter 7, Data Processing Using the Lambda Pattern, explains how you can use multiple subpatterns to create two planes of computation, which provide views into historical aggregated data as well as real-time data.

Chapter 8, The MapReduce Pattern, explores an example implementation of aggregating large volumes of data in parallel, similar to the way systems such as Hadoop work.

Chapter 9Deployment and CI/CD Patterns, explain how to set up Continuous Integration and Continuous Delivery for serverless projects and what to keep in mind when doing so, in addition to showing examples of continuous deployment.

Chapter 10, Error Handling and Best Practices, reviews the tools and techniques for automatically tracking unexpected errors as well as several best practices and tips when creating serverless applications.

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