Related Projects

mu - A full-stack DevOps on AWS framework

  •    Go

Amazon ECS (EC2 Container Service) provides an excellent platform for deploying microservices as containers. The challenge however is that there is a significant learning curve for microservice developers to deploy their applications in an efficient manner. Specifically, they must learn to use CloudFormation to orchestrate the management of ECS, ECR, EC2, ELB, VPC, and IAM resources. Additionally, tools like CodeBuild and CodePipeline must be mastered to create a continuous delivery pipeline for their microservices. To address these challenges, this tool was created to simplify the declaration and administration of the AWS resources necessary to support microservices. Similar to how the Serverless Framework improved the developer experience of Lambda and API Gateway, this tool makes it easier for developers to use ECS as a microservices platform.

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

  •    Javascript

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.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.


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

  •    Javascript

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. 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.

aws-missing-tools - tools for managing AWS resources including EC2, EBS, RDS, IAM, CloudFormation and Route53

  •    Shell

tools for managing AWS resources including EC2, EBS, RDS, IAM, CloudFormation and Route53.

aws-lambda-redshift-loader - Amazon Redshift Database Loader implemented in AWS Lambda

  •    Javascript

With this AWS Lambda function, it's never been easier to get file data into Amazon Redshift. You simply push files into a variety of locations on Amazon S3, and have them automatically loaded into your Amazon Redshift clusters.For automated delivery of streaming data to S3 and subsequently to Redshift, also consider using Amazon Kinesis Firehose.

lambda-refarch-imagerecognition - The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition

  •    Javascript

The Image Recognition and Processing Backend demonstrates how to use [AWS Step Functions] (https://aws.amazon.com/step-functions/) to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo.This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.

lambda-refarch-imagerecognition - The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition

  •    Javascript

The Image Recognition and Processing Backend demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. This workflow processes photos uploaded to Amazon S3 and extracts metadata from the image such as geolocation, size/format, time, etc. It then uses image recognition to tag objects in the photo. In parallel, it also produces a thumbnail of the photo. This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources. There is also a test web app that you can run locally to interact with the backend.

aws-lambda-zombie-workshop - Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop

  •    Javascript

The Zombie Microservices Workshop introduces the basics of building serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, Amazon SNS, and other AWS services. In this workshop, as a new member of the AWS Lambda Signal Corps, you are tasked with completing the development of a serverless survivor communications system during the Zombie Apocalypse.Prior to beginning the labs, you will need to finalize the setup of User authentication for the application with Cognito User Pools. This is a necessary step to finalize the readiness of the application.

aws-lambda-zombie-workshop - Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop

  •    Javascript

The Zombie Microservices Workshop introduces the basics of building serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, Amazon SNS, and other AWS services. In this workshop, as a new member of the AWS Lambda Signal Corps, you are tasked with completing the development of a serverless survivor communications system during the Zombie Apocalypse. Prior to beginning the labs, you will need to finalize the setup of User authentication for the application with Cognito User Pools. This is a necessary step to finalize the readiness of the application.

autospotting - Automatically replace AWS EC2 instances in AutoScaling groups with identically configured but up to 90% cheaper spot instances

  •    Go

A simple and easy to use tool designed to significantly lower your Amazon AWS costs by automating the use of spot instances. When installed and enabled on an existing on-demand AutoScaling group, AutoSpotting clones one of your on-demand instances from the group with a spot instance that is cheaper, at least as large (automatically considering memory, CPU cores and disk volumes) and configured identically to it. Once the new spot instance is ready, it is attached to the group and an on-demand instance is detached and terminated to keep the group at constant capacity.

aws-serverless-auth-reference-app - Serverless reference app and backend API, showcasing authentication and authorization patterns using Amazon Cognito, Amazon API Gateway, AWS Lambda, and AWS IAM

  •    TypeScript

SpaceFinder is a reference mobile app that allows users to book conference rooms, work desks, and other shared resources. The app showcases serverless authentication and authorization using the AWS platform.The mobile front-end is built using the Ionic 3 framework and client libraries to call AWS services and mobile backend APIs. The backend APIs themselves are powered by AWS services. The backend APIs are built using a serverless architecture, which makes it easy to deploy updates, and it also means that there are no servers to operationally manage.

lambda-refarch-mobilebackend - Serverless Reference Architecture for creating a Mobile Backend

  •    Objective-C

The Mobile Backend reference architecture (diagram) demonstrates how to use AWS Lambda along with other services to build a serverless backend for a mobile application. The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. In addition to the source code for the Lambda functions, this repository also contains a prototype iOS application that provides examples for how to use the AWS Mobile SDK for iOS to interface with the backend resources defined in the architecture.To run the full example application, you must first deploy the backend resources, and then compile and run the example iOS application.

lambda-refarch-mobilebackend - Serverless Reference Architecture for creating a Mobile Backend

  •    Objective-C

The Mobile Backend reference architecture (diagram) demonstrates how to use AWS Lambda along with other services to build a serverless backend for a mobile application. The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. In addition to the source code for the Lambda functions, this repository also contains a prototype iOS application that provides examples for how to use the AWS Mobile SDK for iOS to interface with the backend resources defined in the architecture. To run the full example application, you must first deploy the backend resources, and then compile and run the example iOS application.

aws-cognito-angular-quickstart - An AngularV4-based QuickStart web app utilizing Amazon Cognito, S3, and DynamoDB (serverless architecture)

  •    TypeScript

This sample application can be deployed to either Elastic Beanstalk or S3. S3 will host this application as a static site while Elastic Beanstalk gives you the capability of adding backend operations to the application.createResources.sh requires your aws cli to be configured for JSON output.

aws - Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB (new!)

  •    Perl

Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB (new!)

aws - Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB (new!)

  •    Perl

Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB (new!)