Serverless Design Patterns and Best Practices (eBook)

Get started with designing your serverless application using optimum design patterns and industry standard practices

Key FeaturesLearn the details of popular software patterns and how they are applied to serverless applicationsUnderstand key concepts and components in serverless designsWalk away with a thorough understanding of architecting serverless applicationsBook Description

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 the trade-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.

What you will learnComprehend the popular design patterns currently being used with serverless architecturesUnderstand the various design options and corresponding implementations for serverless web application APIsLearn multiple patterns for data-intensive serverless systems and pipelines, including MapReduce and Lambda ArchitectureLearn how to leverage hosted databases, queues, streams, storage services, and notification servicesUnderstand error handling and system monitoring in a serverless architecture a serverless architectureLearn how to set up a serverless application for continuous integration, continuous delivery, and continuous deploymentWho this book is for

If you're a software architect, engineer, or someone who wants to build serverless applications, which are non-trivial in complexity and scope, then this book is for you. Basic knowledge of programming and serverless computing concepts are assumed.

Brian Zambrano is a software engineer and architect with a background cloud-based SAAS application architecture, design, and scalability. Brian has been working with AWS consistently since 2009. For the past several years, he has focused on cloud architecture with AWS using serverless technologies, microservices, containers, and the vast array of AWS services. Brian was born and bred in the San Francisco Bay Area and currently resides in Fort Collins, CO with his wife and twin boys.

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Get started with designing your serverless application using optimum design patterns and industry standard practicesAbout This BookLearn the details of popular software patterns and how they are applied to serverless applicationsUnderstand key concepts and components in serverless designsWalk away with a thorough understanding of architecting serverless applicationsWho This Book Is ForIf you're a software architect, engineer, or someone who wants to build serverless applications, which are non-trivial in complexity and scope, then this book is for you. Basic knowledge of programming and serverless computing concepts are assumed.What You Will LearnComprehend the popular design patterns currently being used with serverless architecturesUnderstand the various design options and corresponding implementations for serverless web application APIsLearn multiple patterns for data-intensive serverless systems and pipelines, including MapReduce and Lambda ArchitectureLearn how to leverage hosted databases, queues, streams, storage services, and notification servicesUnderstand error handling and system monitoring in a serverless architecture a serverless architectureLearn how to set up a serverless application for continuous integration, continuous delivery, and continuous deploymentIn DetailServerless 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 the trade-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.Style and approachReaders will be taken through a set of specific software patterns and learn, in detail, how to apply these patterns and build working software on top of a serverless system. At each step along the way, the reader will learn about the subcomponents and subsystems which comprise the larger system and which may be used in the future to solve different types of challenges.