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

Getting across the processing types

Because data processing is such a vast subject, you will find different definitions and opinions across the internet about how it can be categorized. For learning purposes and to keep it as simple as possible, I'll talk about the three main types of processing we usually find in real life data-related projects. We'll have a quick look at what they are in the following sections.

Batch

Batch processing is by far the most common type of data processing. If you consider, for example, traditional business intelligence and data warehouse workloads, usually there's a fixed schedule that defines when an Extraction, Transformation, and Load (ETL) will happen. Often, this implies taking...