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Learn AWS Serverless Computing

Learn AWS Serverless Computing

By : Scott Patterson
4 (5)
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Learn AWS Serverless Computing

Learn AWS Serverless Computing

4 (5)
By: Scott Patterson

Overview of this book

Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers.
Table of Contents (20 chapters)
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1
Section 1: Why We're Here
4
Section 2: Getting Started with AWS Lambda Functions
9
Section 3: Development Patterns
12
Section 4: Architectures and Use Cases

Understanding modern applications

The logical move toward serverless technologies has also given rise to another paradigm in cloud computing. The following two factors form the basis of event-driven architectures—applications that can subscribe and react to changes within a wider ecosystem:

  • Event sourcing is the model for storing the changes of state that a system goes through on an opinionated and real-time basis
  • Stream processing is the consumption of these changes for further compute or storage

Many serverless services in AWS are inherently event-driven. Combine this with the fact that they are also highly scalable and resilient and we have the perfect recipe for building distributed systems in the cloud.

In the previous chapter, we learned about the challenges in scaling monolithic services and touched on the challenges in managing a distributed state. This section...

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