aws4 - Signs and prepares node.js (and browser) requests using AWS Signature Version 4

•    Javascript

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A small utility to sign vanilla node.js http(s) request options using Amazon's AWS Signature Version 4.Can also be used in the browser.

amazon aws signature s3 ec2 autoscaling cloudformation elasticloadbalancing elb elasticbeanstalk cloudsearch dynamodb kinesis lambda glacier sqs sns iam sts ses swf storagegateway datapipeline directconnect redshift opsworks rds monitoring cloudtrail cloudfront codedeploy elasticache elasticmapreduce elastictranscoder emr cloudwatch mobileanalytics cognitoidentity cognitosync cognito containerservice ecs appstream keymanagementservice kms config cloudhsm route53 route53domains logs

mu - A full-stack DevOps on AWS framework

•    Go

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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.

microservice pipeline continuous-delivery docker ecs cloudformation codepipeline

grafana-aws-cloudwatch-dashboards - :cloud: 20+ Grafana dashboards for AWS CloudWatch metrics: EC2, Lambda, S3, ELB, EMR, EBS, SNS, SES, SQS, RDS, EFS, ElastiCache, Billing, API Gateway, VPN,

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Set of AWS Grafana dashboards published on grafana.com - 10k+ downloads.Feel free to create pull request for additional AWS resources/printscreens/...

aws aws-cloudwatch grafana dashboard monitoring devops

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

•    Shell

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

aws2js - AWS (Amazon Web Services) APIs client implementation for node.js

•    Javascript

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WARNING: aws2js is deprecated. Use aws-sdk instead. Amazon Web Services node.js module. Originally a fork of aws-lib.

amazon aws rest api https query-api ec2 rds ses elb s3 iam auto-scaling cloudwatch elasticache sqs simpledb sdb security-token-service sts dynamodb sns emr elastic-mapreduce

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

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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

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

•    Javascript

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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.

serverless tutorial aws lambda

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

•    Javascript

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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.

serverless tutorial aws lambda

LocalStack - A fully functional local AWS cloud stack. Develop and test your cloud apps offline!

•    Apache

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LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.Currently, the focus is primarily on supporting the AWS cloud stack. you can run your Lambda functions, store data to DynamoDB tables, feed events through Kinesis streams, put your application behind an API Gateway, and much more. And all this happens on your local machine, without ever talking to the cloud.

aws cloud-stack aws-alternative cloud datacenter testing mock

spring-cloud-aws - Integration for Amazon Web Services APIs with Spring

•    Java

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Spring Cloud AWS

spring spring-boot spring-cloud aws aws-cloudformation aws-sqs aws-ses aws-java-sdk aws-rds aws-elasticache spring-cloud-core

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

•    Javascript

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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.

amazon redshift lambda

serverless-appsync-plugin - serverless plugin for appsync

•    Javascript

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Tired of 🚀 deploying, ✏️ updating, and ❌ deleting your AppSync API's using the AWS AppSync dashboard? You can now develop all of your AppSync API's locally using Serverless + Serverless-AppSync-Plugin! With support for AWS DynamoDB, AWS Lambda, and AWS Elastic Search; you have everything you need to get started developing your AppSync API's locally.

serverless-plugin elasticsearch lambda graphql aws-appsync dynamodb serverless-applications serverless-framework

aws-lambda-ffmpeg - An S3-triggered Amazon Web Services Lambda function that runs your choice of FFmpeg 🎬 commands on a file 🎥 and uploads the outputs to a bucket

•    Javascript

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An AWS Lambda Event-driven function that resizes videos and outputs thumbnails using FFmpeg. This function is meant for short-duration videos. If you need to transcode long videos, check out AWS Elastic Transcoder. The different platforms have different naming conventions for their services. To simplify this, listed below is a proposed table of generalized terms that are platform-independent.

ffmpeg aws-lambda video cloudformation google-cloud-functions aws lambda gcp gcf cloud-function azure-function

aws-lambda-power-tuning - Step Functions state machine generator for AWS Lambda Power Tuning

•    Javascript

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Step Functions state machine generator for AWS Lambda Power Tuning. The state machine is designed to be quick and language agnostic. You can provide any Lambda Function as input and the state machine will estimate the best power configuration to minimize cost. Your Lambda Function will be executed in your AWS account (i.e. real HTTP calls, SDK calls, cold starts, etc.) and you can enable parallel execution to generate results in just a few seconds.

aws aws-lambda serverless serverless-framework stepfunctions aws-step-functions serverless-plugin

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

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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.

amazon-cognito aws-cognito serverless iam serverless-architectures aws-lambda cognito cognito-quickstart authentication authorization auth amazon-api-gateway aws aws-apigateway

boto3 - AWS SDK for Python

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Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. You can find the latest, most up to date, documentation at Read the Docs, including a list of services that are supported. To see only those features which have been released, check out the stable docs.

aws cloud cloud-management aws-sdk

amazon-elasticsearch-lambda-samples - Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code

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Copyright 2015- Amazon.com, Inc. or its affiliates. All Rights Reserved. Lambda is an AWS service that takes care of these requirements. Put simply, it is an "event handling" service in the cloud. Lambda lets us implement the event handler (in Node.js or Java), which it hosts and invokes in response to an event.

aws-mobile-react-native-starter - AWS Mobile React Native Starter App https://aws

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Bootstrap a React Native application on AWS. This starter automatically provisions a Serverless infrastructure with authentication, authorization, image storage, API access and database operations. It also includes user registration and MFA support. The sample use case is a "Pet Tracker" where after a user registers and logs in they can upload pictures of their pet to the system along with information like the birthday or breed.A companion blog post for this repository can be found in the AWS Mobile Blog: Announcing: React Native Starter Project with One-Click AWS Deployment and Serverless Infrastructure.

react-native aws serverless dynamodb cognito api-gateway lambda mobile-hub s3 aws-amplify aws-amplify-react-native

honeyLambda - honeyλ - a simple, serverless application designed to create and monitor fake HTTP endpoints (i

•    Python

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honeyλ allows you to create and monitor fake HTTP endpoints automatically. You can then place these URL honeytokens in e.g. your inbox, documents, browser history, or embed them as {hidden} links in your web pages (Note: honeybits can be used for spreading breadcrumbs across your systems to lure the attackers toward your traps). Depending on how and where you implement honeytokens, you may detect human attackers, malicious insiders, content scrapers, or bad bots. This application is based on Serverless framework and can be deployed in different cloud providers such as Amazon Web Services (AWS), Microsoft Azure, IBM OpenWhisk or Google Cloud (Only tested on AWS; the main function may need small changes to support other providers). If your cloud provider is AWS, it automatically creates HTTP endpoints using Amazon API Gateway and then starts monitoring the HTTP endpoints using honeyλ Lambda function.

honeytoken honeypot security deception lambda serverless aws serverless-plugin