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

Running scheduled tasks

Another component that can benefit from using serverless resources is automated tasks that run on a regular schedule. Externalizing configuration and processing from a server allows more of the allocated compute resources of the server to contribute to running the workload. In some cases, it may even mean that the size of the server can be reduced after moving the processor-hungry scheduled task into a Lambda function. Additionally, centralizing the automation as code allows you to keep track of the processes that are deployed and manage changes more easily.

Replacing server-based local schedulers

It really is down to your imagination as to what tasks could be moved into a Lambda function or other...