Book Image

Learn AWS Serverless Computing

By : Scott Patterson
Book Image

Learn AWS Serverless Computing

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)
Free Chapter
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

The programming model

So, we've just learned what a Lambda function looks like and some of the utilities that you get at runtime. Now, let's look at options for writing, deploying, and testing.

Runtimes

As we mentioned previously, Lambda supports multiple runtimes and allows you to build functions using Node.js, Python, Java, Go, Ruby, and .NET (C# and PowerShell). AWS often adds support for more runtimes (check the latest here: https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html), and recently released a feature that allows you to create your own custom runtime. This will allow you to bring your own language to Lambda using the Runtime API. We'll find out how this works in Chapter 6, Going Deeper...