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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

Enabling code reuse through layers

When we are building a distributed serverless application, we often use many Lambda functions to make up all of the functionality that's needed to deliver a service to a user. Depending on our demarcation point for what constitutes a micro or nano service, we can be developing tens (but usually not hundreds) of Lambda functions. There might be multiple teams responsible for producing the microservice logic and function for their domain. Usually, there are common systems of record, monolith integration platforms, event topics, or third-party SaaS services that each microservice might need to reach out to. It's not efficient if every team has to write their own connector library to interface with a common system. Instead, we should aim to reuse as much common code as possible. Perhaps we could have a repository of organization-specific...

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