/aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

Primary LanguageJavaScriptApache License 2.0Apache-2.0

Wild Rydes Serverless Workshops

This repository contains a collection of workshops and other hands on content that will guide you through building various serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, Amazon Kinesis, and other services.

Workshops

  • Web Application - This workshop shows you how to build a dynamic, serverless web application. You'll learn how to host static web resources with Amazon S3, how to use Amazon Cognito to manage users and authentication, and how to build a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB.

  • Data Processing - This workshop demonstrates how to collect, store, and process data with a serverless application. In this workshop you'll learn how to automatically process files on Amazon S3 using AWS Lambda, how to build real-time streaming applications using Amazon Kinesis Streams and Amazon Kinesis Analytics, how to archive data streams using Amazon Kinesis Firehose and Amazon S3, and how to run ad-hoc queries on those files using Amazon Athena.

  • DevOps - This workshop shows you how to use the Serverless Application Model (SAM) to build a serverless application using Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. You'll learn how to use SAM from your workstation to release updates to your application, how to build a CI/CD pipeline for your serverless application using AWS CodePipeline and AWS CodeBuild, and how to enhance your pipeline to manage multiple environments for your application.

  • Image Processing - This module shows you how to build a serverless image processing application using workflow orchestration in the backend. You'll learn the basics of using AWS Step Functions to orchestrate multiple AWS Lambda functions while leveraging the deep learning-based facial recognition features of Amazon Rekogntion.