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

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General Prerequisites

Before coming into this workshop, you should have the following setup:

  1. Clone/Download the repository:
  2. Ensure that your aws credentials are configured in the ~/.aws/credentials file. Follow these instructions if unsure.

Using Docker

If you have docker and docker-compose configured on your machine, you get a pre-configured command line shell using: docker-compose run --rm serverless

Setting up your local machine

If you do not have Docker installed, you shall need to install the following:

  1. Install Node version 6.10 (https://nodejs.org/en/) if you have not done so yet.
  2. Run "npm install npm@latest -g" in CLI - updates to the latest NPM version.
  3. Install aws-cli. Depending on what operating system you are using, navigate to one of these links:

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.

  • Auth - This workshop shows you how to build in security at multiple layers of your application, starting with sign-up and sign-in functionality for your application, how to secure serverless microservices, and how to leverage AWS's identity and access management (IAM) to provide fine-grained access control to your application's users. You'll learn how AWS Amplify integrates with Amazon Cognito, Amazon API Gateway, AWS Lambda, and IAM to provide an integrated authentication and authorization experience.

  • Data Processing - This workshop demonstrates how to collect, store, and process data with a serverless application. In this workshop you'll learn how to build real-time streaming applications using Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics, how to archive data streams using Amazon Kinesis Data 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.

  • Multi Region - This workshop shows you how to build a serverless ticketing system that is replicated across two regions and provides automatic failover in the event of a disaster. You will learn the basics of deploying AWS Lambda functions, exposing them via API Gateway, and configuring replication using Route53 and DynamoDB streams.

  • Security - This workshop shows you techniques to secure a serverless application built with AWS Lambda, Amazon API Gateway and RDS Aurora. We will cover AWS services and features you can leverage to improve the security of a serverless applications in 5 domains: identity & access management, infrastructure, data, code, and logging & monitoring.

Contributors

Mechanical Rock would also like to thank the following people for contributing to this workshop:

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