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amz-ai-building-better-bots: Code samples related to Building Better Bots (URL pending) published on the AI Blog
amazon-aurora-migration-azure-sqldb-to-aurora-mysql: A CloudFormation template to assist in migrating databases from Azure to AWS
amazon-aurora-pgpool-example: A set of CloudFormation templates that demonstrates using pgool middleware to provide a single endpoint for both the primary and read replica instances of an Amazon Aurora PostgreSQL-compatible cluster.
amazon-cloud-directory-sample: Sample code enables customer to create a schema, create a directory using the schema, populate the directory with objects and then query the directory for objects. Finally we clean all the objects, the schema and the directory.
amazon-cognito-developer-authentication-sample: null
amazon-cognito-developer-authentication-sample: null
amazon-cognito-streams-sample: Sample demonstrating consuming Amazon Cognito Streams
amazon-cognito-streams-sample: Sample demonstrating consuming Amazon Cognito Streams
amazon-dax-lambda-nodejs-sample: A sample application showing how to use Amazon DynamoDB Accelerator (DAX) with Lambda and CloudFormation.
amazon-ecs-catsndogs-workshop: This is self-paced workshop designed to allow developers and system administrators to get hands on with Amazon Elastic Container Service concepts such as service and container-instance auto-scaling, spot-fleet integration, container placement strategies, service discovery, secrets management with AWS Systems Manager Parameter Store, time-based and event-based scheduling, and automated deployment pipelines.
amazon-ecs-fargate-aspnetcore: A prescriptive guidance on how to host an ASP.NET core application in AWS Fargate using Linux containers.
amazon-ecs-interstella-workshop: Amazon ECS Interstella Workshops CON209/318/319/407
amazon-ecs-java-microservices: This is a reference architecture for java microservice on Amazon ECS
amazon-ecs-java-microservices: This is a reference architecture for java microservice on Amazon ECS
amazon-efs-tutorial: This tutorial is designed to help you better understand the performance characteristics of Amazon Elastic File System
amazon-efs-workshop: This workshop will show solutions architects how to take advantage of a petabyte scale distributed file system for various application workloads like analytics, web serving & content management, enterprise applications, and Docker containers.
amazon-elasticsearch-lambda-samples: Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code
amazon-elasticsearch-lambda-samples: Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code
amazon-elasticsearch-service-with-authentication: Secure Amazon ElasticSearch with AD/LDAP based Authentication & Authorization
amazon-es-check-cw-alarms: This sample code checks, and optionally creates, recommended CloudWatch alarms for your Amazon Elasticsearch service domain.
amazon-guardduty-alexa-sample: Alexa GuardDuty Sample Skill
amazon-guardduty-multiaccount-scripts: This script automates the process of running the GuardDuty multi-account workflow across a group of accounts that are in your control
amazon-guardduty-to-slack: Demonstrates integrating Amazon GuardDuty with your Slack Channel
amazon-kinesis-data-visualization-sample: Amazon Kinesis Data Visualization Sample Application
amazon-kinesis-data-visualization-sample: Amazon Kinesis Data Visualization Sample Application
amazon-kinesis-learning: Learning Amazon Kinesis Development
amazon-kinesis-learning: Learning Amazon Kinesis Development
amazon-kinesis-sagemaker-promotion-recommendations: CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.
amazon-kinesis-socket-server-sample: Sample Java application that uses the Amazon Kinesis Client Library to read a Kinesis Data Stream and output data records to connected clients over a TCP socket.
amazon-lex-bot-export: Script to export the definition for an Amazon Lex bot using the Amazon Lex Model Building Service API.
amazon-lex-bot-export: Script to export the definition for an Amazon Lex bot using the Amazon Lex Model Building Service API.
amazon-lex-bot-test: Script to test an Amazon Lex bot using the Amazon Lex Runtime API.
amazon-lex-customerservice-workshop: Code and walkthrough labs to create a customer service chatbot using Amazon Lex (and integrations with Amazon Connect, Twilio SMS, etc.)
amazon-lex-skype-integration: An AWS Lambda function that integrates Skype Messaging with Amazon Lex using Microsoft BotBuilder framework.
amazon-lex-twilio-integration: An AWS Lambda function that integrates Twilio Programmable SMS with Amazon Lex.
amazon-lex-twilio-integration: An AWS Lambda function that integrates Twilio Programmable SMS with Amazon Lex.
amazon-macie-activity-generator: A platform to help security researchers develop and test machine learning-based security services based on time-series data, with the ability to generate synthetic time-series, replay existing log time-series, and inject noise and anomalies.
amazonmq-invoke-aws-lambda: Demonstrates an approach to invoking AWS Lambda from messages in an Amazon MQ queue.
amazon-neptune-samples: Samples and documentation for using the Amazon Neptune graph database service
amazon-polly-sample: Sample application for Amazon Polly. Allows to convert any blog into an audio podcast.
amazon-polly-sample: Sample application for Amazon Polly. Allows to convert any blog into an audio podcast.
amazon-redshift-udfs: A collection of example UDFs for Amazon Redshift.
amazon-redshift-udfs: A collection of example UDFs for Amazon Redshift.
amazon-rekognition-policing-user-content: A Stepfunctions driven workflow to use Amazon Rekognition to scan incoming images through a set of business rules and police apply policing
amazon-rekognition-video-analyzer: A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
amazon-rekognition-video-analyzer: A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
amazon-sagemaker-brain-segmentation: A Jupyter notebook w/ script demonstrating how to train an Apache MXNet model for Brain Segmentation on SageMaker using the OASIS dataset
amazon-sagemaker-cloudformation-custom-resource: Deploy Amazon SageMaker notebook using CloudFormation custom resource
amazon-sumerian-arcore-starter-app: A sample Android project that demonstrates how to create a simple augmented reality experience using Google's ARCore with the Amazon Sumerian service.
amazon-sumerian-arkit-starter-app: A sample XCode project that demonstrates how to create a simple augmented reality experience using Apple's ARKit with the Amazon Sumerian service
amazon-workmail-demo-ews-push-notifications: A sample application demonstrating the use of EWS Push Notifications. It creates a push responder using AWS Lambda and API Gateway to respond to changes in your mailbox.
amz-ai-building-better-bots: Code samples related to Building Better Bots (URL pending) published on the AI Blog
api-gateway-secure-pet-store: Amazon API Gateway sample using Amazon Cognito credentials through AWS Lambda
api-gateway-secure-pet-store: Amazon API Gateway sample using Amazon Cognito credentials through AWS Lambda
apn-blog: APN Blog article code and configurations.
apn-blog: APN Blog article code and configurations.
arc325-multiple-accounts-workshop: Lab materials and documentation for the workshop ARC325 Managing Multiple Accounts at Scale at re:Invent 2017
authorization-lambda-at-edge: Code demonstrates authorization with Lambda@Edge and JSON Web Tokens (JWTs)
automating-governance-sample: Sample pipeline for handling of security events in AWS.
automating-governance-sample: Sample pipeline for handling of security events in AWS.
aws-ai-bootcamp-labs: This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.
aws-ai-bootcamp-labs: This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.
aws-ai-qna-bot: Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced ?Q and A Bot?), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your ?Questions and Answers?, so users can just ask their questions and get quick and relevant answers.
aws-ai-qna-bot: Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced ?Q and A Bot?), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your ?Questions and Answers?, so users can just ask their questions and get quick and relevant answers.
aws-ai-tracking-bot: Code samples related to "Activity Tracking with a Voice-Enabled Bot on AWS" published on the AWS AI Blog
aws-ai-tracking-bot: Code samples related to "Activity Tracking with a Voice-Enabled Bot on AWS" published on the AWS AI Blog
aws-amazonmq-apachecamel-sample: Sample code showing how to use camel to connect to Amazon MQ and other AWS services
aws-amplify-graphql: Sample using AWS Amplify and AWS AppSync together for user login and authorization when making GraphQL queries and mutations. Also includes complex objects for uploading and downloading data to and from S3 with a React app.
aws-amplify-vue: A Vue.js starter app integrated with AWS Amplify
aws-api-gateway-developer-portal: This application provides a reference implementation that presents APIs on API Gateway as a catalog for 3rd party access
aws-api-gateway-developer-portal: This application provides a reference implementation that presents APIs on API Gateway as a catalog for 3rd party access
aws-app-defined-permissions-demo: Demonstrates how to create fully application-defined, dynamic and bespoke access controls to AWS resources at scale with Amazon Cognito
aws-arch-backoff-simulator: Simulator for AWS architecture blog (http://www.awsarchitectureblog.com/ ) about jitter and backoff.
aws-arch-backoff-simulator: Simulator for AWS architecture blog (http://www.awsarchitectureblog.com/ ) about jitter and backoff.
aws-auto-scaling-console-sample: Sample project to demonstrate usage of the AWS SDK for .NET and the Toolkit for Visual Studio
aws-batch-genomics: Software sets up and runs an genome sequencing analysis workflow using AWS Batch and AWS Step Functions.
aws-batch-genomics: Software sets up and runs an genome sequencing analysis workflow using AWS Batch and AWS Step Functions.
aws-big-data-blog: null
aws-big-data-blog: null
aws-building-data-lake-reinvent-session-stg206: Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercise
aws-cfn-custom-resource-examples: null
aws-cfn-custom-resource-examples: null
aws-cfn-go-template: AWS CloudFormation Template concrete types for the Go programming language.
aws-cfn-umbraco-load-balancing-template: Cloud-formation sample, builds a sample infrastructure to enable Umbraco CMS flexible load balancing using Elastic Beanstalk and RDS for content storage.
aws-cfn-umbraco-load-balancing-template: Cloud-formation sample, builds a sample infrastructure to enable Umbraco CMS flexible load balancing using Elastic Beanstalk and RDS for content storage.
aws-cfn-windows-hpc-template: This sample CloudFormation template will launch a Windows-based HPC cluster running Windows Server 2012R2 and supporting core infrastructure including VPC, domain controllers and bastion servers.
aws-cfn-windows-hpc-template: This sample CloudFormation template will launch a Windows-based HPC cluster running Windows Server 2012R2 and supporting core infrastructure including VPC, domain controllers and bastion servers.
aws-cicd-docker-containers: This repo explains how to build a continuous delivery pipeline that automatically builds and deploys your Docker images and deploys them onto an ECS cluster.
aws-cicd-docker-containers: This repo explains how to build a continuous delivery pipeline that automatically builds and deploys your Docker images and deploys them onto an ECS cluster.
aws-cidr-finder: A lambda function, a cloudformation template to get it running, and example templates showing how to use a custom resource (calling the lambda) to automatically calculate CIDR ranges for subnets based on the VPC range.
aws-cidr-finder: A lambda function, a cloudformation template to get it running, and example templates showing how to use a custom resource (calling the lambda) to automatically calculate CIDR ranges for subnets based on the VPC range.
awscli-reinvent-examples: AWS CLI examples presented at re:Invent
aws-cloudformation-get-att-from-param: An AWS CloudFormation custom resource that imitates the GetAtt intrinsic on CloudFormation stack parameters.
aws-cloudformation-validator: this is source code of python script use for validation CF template => more in the blog https://aws.amazon.com/blogs/devops/validating-aws-cloudformation-templates...
aws-cloudformation-validator: this is source code of python script use for validation CF template => more in the blog https://aws.amazon.com/blogs/devops/validating-aws-cloudformation-templates...
aws-cloudfront-samples: Samples for use of AWS CloudFront, including Lambda functions, and SDK usage examples.
aws-cloudfront-samples: Samples for use of AWS CloudFront, including Lambda functions, and SDK usage examples.
aws-cloudtrail-analyzer-workshop: Workshop exercise materials for re:Invent 2017 - SID 341: Using AWS CloudTrail Logs for Scalable, Automated Anomaly Detection
aws-codebuild-custom-raspbian-builder: Build custom Raspbian OS images from verified Source with AWS CodeBuild. Supports bare-metal & Docker container installs. Provisioned via AWS CloudFormation.
aws-codebuild-multiple-buildspec: Sample code to demonstrate the possibilities of running multiple different builds from the same repository using multiple AWS CodeBuild build specification files.
aws-codebuild-multiple-buildspec: Sample code to demonstrate the possibilities of running multiple different builds from the same repository using multiple AWS CodeBuild build specification files.
aws-codebuild-samples: Utilities and samples for building on CodeBuild
aws-codecommit-pull-request-utils: Utilities and samples for working with CodeCommit pull requests
aws-codecommit-serverless-backup: A serverless solution to back up CodeCommit repositories to S3
aws-codedeploy-samples: Samples and template scenarios for AWS CodeDeploy
aws-codedeploy-samples: Samples and template scenarios for AWS CodeDeploy
aws-codedeploy-sample-tomcat: A sample Tomcat application integrated with CodeDeploy.
aws-codepipeline-block-production: Use this sample to create required resources for running approval based post deployment tests in AWS CodePipeline.
aws-codepipeline-custom-job-worker-for-jfrog-artifactory: This project walks through integrating JFrog Artifactory with AWS CodePipeline
aws-codepipeline-s3-aws-codedeploy_linux: Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
aws-codepipeline-s3-aws-codedeploy_linux: Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
AWSCodePipeline-S3-AWSCodeDeploy_Windows: Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
aws-codepipeline-s3-aws-codedeploy_linux: Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
aws-codepipeline-s3-aws-codedeploy_linux: Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
aws-codepipeline-stepfunctions: This AWS Labs project shows how to integrate AWS CodePipeline and AWS Step Functions state machines. The integration enables developers to build much simpler CodePipeline actions that perform a single task and to delegate the complexity of dealing with workflow-driven behavior associated with that task to a proper state machine engine. As such, developers will be able to build more intuitive pipelines and still being able to visualize and troubleshoot their pipeline actions in detail by examining the state machine execution logs.
aws-codepipeline-stepfunctions: This AWS Labs project shows how to integrate AWS CodePipeline and AWS Step Functions state machines. The integration enables developers to build much simpler CodePipeline actions that perform a single task and to delegate the complexity of dealing with workflow-driven behavior associated with that task to a proper state machine engine. As such, developers will be able to build more intuitive pipelines and still being able to visualize and troubleshoot their pipeline actions in detail by examining the state machine execution logs.
aws-codepipeline-synthetic-tests: Use this sample to create required resources for running synthetic tests periodically and disable transitions on failures in AWS CodePipeline.
aws-codepipeline-time-windows: Use this sample to create required resources for building time window or black days based approvals in AWS CodePipeline.
aws-code-snippets: A collection of useful code snippets for interacting with Amazon Web Services
aws-cognito-apigw-angular-auth: A simple/sample AngularV4-based web app that demonstrates different API authentication options using Amazon Cognito and API Gateway with an AWS Lambda and Amazon DynamoDB backend that stores user details in a complete end to end Serverless fashion.
aws-cognito-apigw-angular-auth: A simple/sample AngularV4-based web app that demonstrates different API authentication options using Amazon Cognito and API Gateway with an AWS Lambda and Amazon DynamoDB backend that stores user details in a complete end to end Serverless fashion.
aws-cognito-dot-net-desktop-app: Sample .NET Desktop App with Cognito User Pools
aws-cognito-dot-net-desktop-app: Sample .NET Desktop App with Cognito User Pools
aws-cognito-java-desktop-app: Sample Java Desktop App with Cognito User Pools
aws-cognito-java-desktop-app: Sample Java Desktop App with Cognito User Pools
aws-cognito-quicksight-auth: A simple JavaScript frontend and SAM template to spin up a serverless backend, federating Cognito User Pools users to QuickSight as part of the blog post: https://aws.amazon.com/blogs/big-data/using-amazon-quicksight-federated-single-sign-on-with-amazon-cognito-user-pools/
aws-cognito-quicksight-auth: A simple JavaScript frontend and SAM template to spin up a serverless backend, federating Cognito User Pools users to QuickSight as part of the blog post: https://aws.amazon.com/blogs/big-data/using-amazon-quicksight-federated-single-sign-on-with-amazon-cognito-user-pools/
aws-compute-options: This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
aws-compute-options: This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
aws-concurrent-data-orchestration-pipeline-emr-livy: This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concurrent data pipeline by using Amazon EMR and Apache Livy. This pipeline is orchestrated by Apache Airflow.
aws-containers-task-definitions: Task Definitions for running common applications Amazon ECS
aws-cost-explorer-report: Python SAM Lambda module for generating an Excel cost report with graphs, including month on month cost changes. Uses the AWS Cost Explorer API for data.
aws-cross-account-serverless-microservices: This repo contains a sample application composed of a web application supported by two serverless microservices. The microservices will be owned by different product teams and deployed into different AWS accounts. At runtime, the microservices will communicate across accounts using an event-driven architecture.
aws-database-migration-samples: A set of sample database and associated items to allow customers to among other things follow along with published database migration recipes.
aws-database-migration-samples: A set of sample database and associated items to allow customers to among other things follow along with published database migration recipes.
aws-dbs-refarch-edw: Repository for AWS DBS Reference Architectures - Enterprise Data Warehousing
aws-demo-php-simple-app: Application used for demonstration purposes for AWS Blogs.
aws-demo-php-simple-app: Application used for demonstration purposes for AWS Blogs.
aws-developer-workshop: This is a self paced workshop to get started on Serverless or Container development using AWS Developer Tools.
aws-device-farm-appium-python-tests-for-android-sample-app: null
aws-device-farm-appium-python-tests-for-android-sample-app: null
aws-device-farm-appium-python-tests-for-ios-sample-app: null
aws-device-farm-appium-python-tests-for-ios-sample-app: null
aws-device-farm-appium-tests-for-sample-app: AWS Device Farm Appium tests
aws-device-farm-appium-tests-for-sample-app: AWS Device Farm Appium tests
aws-device-farm-calabash-tests-for-sample-app: null
aws-device-farm-calabash-tests-for-sample-app: null
aws-device-farm-sample-app-for-android: AWS Device Farm sample Android app
aws-device-farm-sample-app-for-android: AWS Device Farm sample Android app
aws-device-farm-sample-app-for-ios: null
aws-device-farm-sample-app-for-ios: null
aws-device-farm-sample-web-app-using-appium: How to test a web application using AWS Device Farm and Appium
aws-device-farm-sample-web-app-using-appium: How to test a web application using AWS Device Farm and Appium
aws-device-farm-sample-web-app-using-appium-python: How to test a web application using AWS Device Farm and Appium Python
aws-device-farm-sample-web-app-using-appium-python: How to test a web application using AWS Device Farm and Appium Python
aws-device-farm-xctest-ui-tests-for-ios-sample-app: null
aws-device-farm-xctest-ui-tests-for-ios-sample-app: null
aws-dms-archive-data: Lambda functions and CloudFormation templates required for performing the step-by-step actions in the blog post
aws-dynamodb-examples: DynamoDB Examples
aws-dynamodb-examples: DynamoDB Examples
aws-dynamodb-mars-json-demo: null
aws-dynamodb-mars-json-demo: null
aws-ebs-custodian: The EBS Snapshot Custodian provides a full life cycle management of EBS Snapshots. It manages the creation and deletion of old EBS Snapshots. The Solution uses Amazon DynamoDB, Amazon Lambda, CloudWatch Events and of course EC2.
aws-ebs-custodian: The EBS Snapshot Custodian provides a full life cycle management of EBS Snapshots. It manages the creation and deletion of old EBS Snapshots. The Solution uses Amazon DynamoDB, Amazon Lambda, CloudWatch Events and of course EC2.
aws-ecs-scheduled-tasks: Provides you sample code on how to use scheduled tasks (cron) feature in Amazon EC2 Container Service, and how it integrates with CloudWatch events while leveraging Spot fleet cluster for Cost efficient ECS cluster use.
aws-ecs-scheduled-tasks: Provides you sample code on how to use scheduled tasks (cron) feature in Amazon EC2 Container Service, and how it integrates with CloudWatch events while leveraging Spot fleet cluster for Cost efficient ECS cluster use.
aws-ecs-windows-aspnet: A prescriptive guidance on how to migrate a classic ASP.NET application (V4.6 or older) into AWS ECS using Windows Containers
aws-educate-scripts: Scripts and CloudFormation templates that help students and educators get started with AWS Educate
aws-educate-scripts: Scripts and CloudFormation templates that help students and educators get started with AWS Educate
aws-elasticache-retail-dashboard: AWS ElastiCache for Redis driven real-time retail dashboard
aws-elastic-volumes: Sample code to help with Elastic Block Store automation with Elastic Volumes feature
aws-elastic-volumes: Sample code to help with Elastic Block Store automation with Elastic Volumes feature
aws-elemental-instant-video-highlights: Instant Video Highlights: Build Your Own Frame-Accurate Live-to-VOD Workflow with Image Recognition
aws-fargate-workshop: Running Containers on AWS Fargate
aws-flow-ruby-opsworks-helloworld: null
aws-flow-ruby-opsworks-helloworld: null
aws-flow-ruby-samples: Samples for the AWS Flow Framework for Ruby
aws-flow-ruby-samples: Samples for the AWS Flow Framework for Ruby
aws-gamelift-sample: A simple full-stack game sample using GameLift and AWS services.
aws-gamelift-sample: A simple full-stack game sample using GameLift and AWS services.
aws-gaming-unity-labs-sample: This repository contains a sample Unity game project that is used by several Self Paced Labs to demonstrate the use of the AWS Mobile SDK for Unity.
aws-gaming-unity-labs-sample: This repository contains a sample Unity game project that is used by several Self Paced Labs to demonstrate the use of the AWS Mobile SDK for Unity.
aws-geotagging-logs: Enriches AWS logs with geo-location information and uses Elasticsearch and AWS Athena to analyze.
aws-glue-samples: AWS Glue code samples
aws-glue-samples: AWS Glue code samples
aws-golden-ami-pipeline-sample: Golden AMI pipeline setup sample
aws-go-wordfreq-sample: A sample micro service built with AWS SDK for Go using concurrency, and AWS services.
aws-greengrass-mini-fulfillment: An example of AWS Greengrass used in a miniature fulfillment center.
aws-greengrass-mini-fulfillment: An example of AWS Greengrass used in a miniature fulfillment center.
aws-greengrass-samples: Samples for AWS Greengrass
aws-hpc-workshops: This is a repo of HPC workshops that will be used to facilitate on-site engagements, or be used at conferences and summits.
aws-hybrid-storage-workshop: Participants in this workshop work through real-world scenarios for migrating from traditional on-premises storage to cloud-based hybrid storage solutions
aws-iotbot: IoTbot: Controlling and Integrating the GoPiGo Raspberry Pi robot with AWS IoT using Node.js, Android and Amazon Echo
aws-iotbot: IoTbot: Controlling and Integrating the GoPiGo Raspberry Pi robot with AWS IoT using Node.js, Android and Amazon Echo
aws-iot-chat-example: ? Real-time chat application using AWS IoT platform via MQTT over the WebSocket protocol
aws-iot-chat-example: ? Real-time chat application using AWS IoT platform via MQTT over the WebSocket protocol
aws-iot-elf: An Extremely Low Friction (ELF) AWS IoT python example client
aws-iot-elf: An Extremely Low Friction (ELF) AWS IoT python example client
aws-iot-examples: Examples using AWS IoT (Internet of Things)
aws-iot-examples: Examples using AWS IoT (Internet of Things)
aws-java-sample: Sample project to demonstrate usage of the AWS SDK for Java
aws-kube-cni: This repo will walk customers through setting up the aws kubernetes cni plugin on a self managed kubernetes cluster on AWS. It will also demonstrate how to leverage Calico to enforce Kubernetes network policy.
aws-kube-codesuite: The CodeSuite Continuous Deployment reference architecture demonstrates how to achieve continuous deployment of an application to a Kubernetes cluster using AWS CodePipeline, AWS CodeCommit, AWS CodeBuild and AWS Lambda.
aws-lambda-ddns-function: Dynamically create Route 53 resource records using CloudWatch Events and Lambda
aws-lambda-ddns-function: Dynamically create Route 53 resource records using CloudWatch Events and Lambda
aws-lambda-deploy: A collection of tools to enable canary deployments of AWS Lambda functions.
aws-lambda-deploy: A collection of tools to enable canary deployments of AWS Lambda functions.
aws-lambda-edge-rugby-blog-example: Demo code for the blog post describing how to do compute using Lambda@Edge for a fictional rugby tournament
aws-lambda-edge-workshops: This repository contains instructions and blueprints for Lambda@Edge workshops
aws-lambda-fanout: A sample AWS Lambda function that accepts messages from an Amazon Kinesis Stream and transfers the messages to another data transport.
aws-lambda-fanout: A sample AWS Lambda function that accepts messages from an Amazon Kinesis Stream and transfers the messages to another data transport.
aws-lambda-iot-button: Simple JavaScript that publishes a notification on the click of an IoT button.
aws-lambda-iot-button: Simple JavaScript that publishes a notification on the click of an IoT button.
aws-lambda-lifecycle-hooks-function: Using Auto Scaling lifecycle hooks, Lambda, and EC2 Run Command
aws-lambda-lifecycle-hooks-function: Using Auto Scaling lifecycle hooks, Lambda, and EC2 Run Command
aws-lambda-manage-rds-connections: Sample code for dynamically managing RDS/RDBMS connections across a fleet of Lambda functions
aws-lambda-mirror-dns-function: AWS Lambda function to mirror DNS zone from on-premises DNS server to Route 53 private hosted zone.
aws-lambda-mirror-dns-function: AWS Lambda function to mirror DNS zone from on-premises DNS server to Route 53 private hosted zone.
aws-lambda-rdbms-integration: Integrating AWS Lambda with EC2 hosted Relational Databases
aws-lambda-rdbms-integration: Integrating AWS Lambda with EC2 hosted Relational Databases
aws-lambda-zombie-workshop: Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop
aws-lambda-zombie-workshop: Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop
aws-lex-convo-bot-example: Amazon Lex Conversation Bot Sample.
aws-lex-convo-bot-example: Amazon Lex Conversation Bot Sample.
aws-lex-net-chatbot: The ASP.NET Core ChatBot application featured here allows you to order flowers using Amazon Lex. The application is built with C#, AWS .NET SDK, and AWS Toolkit for Visual Studio and is deployed on Amazon EC2.
aws-lex-net-chatbot: The ASP.NET Core ChatBot application featured here allows you to order flowers using Amazon Lex. The application is built with C#, AWS .NET SDK, and AWS Toolkit for Visual Studio and is deployed on Amazon EC2.
aws-lex-web-ui: Sample Amazon Lex chat bot web interface
aws-lex-web-ui: Sample Amazon Lex chat bot web interface
aws-media-services-simple-live-workflow: re:Invent 2017 workshop that covers AWS Elemental MediaLive and MediaPackage services
aws-media-services-simple-vod-workflow: RE:Invent 2017 Lab that covers video conversion workflow for Video On Demand using AWS MediaConvert.
aws-compute-options: This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
aws-compute-options: This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
AWS-MIMIC-IIItoOMOP: Demonstrates creating a healthcare data warehouse using the MIMIC-III dataset on Redshift, Spark on EMR and Lambda
AWS-MIMIC-IIItoOMOP: Demonstrates creating a healthcare data warehouse using the MIMIC-III dataset on Redshift, Spark on EMR and Lambda
aws-ml-vision-end2end: Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases
aws-mobile-android-notes-tutorial: The origin code for the AWS Mobile tutorial series for Android Native development.
aws-mobile-angular-cognito-sample: A sample for using AWS Cognito qwith Angular projects.
aws-mobile-angular-cognito-sample: A sample for using AWS Cognito qwith Angular projects.
aws-mobile-appsync-android-settings: An Android quickstart app demonstrating user settings sync in the cloud using AWS AppSync to persist user profile settings in DynamoDB.
aws-mobile-appsync-chat-starter-angular: GraphQL starter progressive web application (PWA) with Realtime and Offline functionality using AWS AppSync
aws-mobile-appsync-events-starter-android: GraphQL starter application using AWS AppSync
aws-mobile-appsync-events-starter-ios: GraphQL starter application with Realtime and Offline functionality using AWS AppSync
aws-mobile-appsync-events-starter-react: GraphQL starter application with Realtime and Offline functionality using AWS AppSync
aws-mobile-appsync-events-starter-react-native: GraphQL starter application with Realtime and Offline functionality using AWS AppSync
aws-mobile-appsync-ios-settings: An iOS quickstart app demonstrating user settings sync in the cloud using AWS AppSync to persist user profile settings in DynamoDB.
aws-mobilehub-ember: Serverless example mobile web application for building a Serverless EmberJS based web application using AWS JavaScript SDK, and MobileHub.
aws-mobilehub-ember: Serverless example mobile web application for building a Serverless EmberJS based web application using AWS JavaScript SDK, and MobileHub.
aws-mobile-ionic-sample: It is a Ionic Sample App that displays how web developers can integrate their front end with AWS on the backend. The App interacts with AWS Cognito, API Gateway, Lambda and DynamoDB on the backend.
aws-mobile-ionic-sample: It is a Ionic Sample App that displays how web developers can integrate their front end with AWS on the backend. The App interacts with AWS Cognito, API Gateway, Lambda and DynamoDB on the backend.
aws-mobile-ios-notes-tutorial: Base code for a tutorial on how to integrate AWS services into a mobile iOS Swift project
aws-mobile-react-native-notes-tutorial: Starter for the AWS Mobile React Native Tutorial
aws-mobile-react-native-starter: AWS Mobile React Native Starter App https://aws.amazon.com/mobile
aws-mobile-react-native-starter: AWS Mobile React Native Starter App https://aws.amazon.com/mobile
aws-mobile-react-sample: A React Starter App that displays how web developers can integrate their front end with AWS on the backend. The App interacts with AWS Cognito, API Gateway, Lambda and DynamoDB on the backend.
aws-mobile-react-sample: A React Starter App that displays how web developers can integrate their front end with AWS on the backend. The App interacts with AWS Cognito, API Gateway, Lambda and DynamoDB on the backend.
aws-mobile-sample-wif: null
aws-mobile-self-paced-labs-samples: null
aws-mobile-simple-video-transcoding: Add video transcoding to your Mobile App or Website, backed by AWS Mobile Hub. This will automatically transcode hi-res user-uploaded videos to an adaptive multi-bitrate format (HLS - Http Live Streaming) for easy streaming to mobile devices. This reduces bandwidth requirements, reduces playback buffering, and improves user experience in watching the videos.
aws-net-guides: .NET Developer step by step guides for building solutions on AWS
aws-nodejs-sample: Sample project to demonstrate usage of the AWS SDK for Node.js
aws-photosharing-example: This is a classic three-tier application written in Java 8 to easily upload and share photos, the application is just for demo purposes to show how scalable Java web applications can be build using Amazon Elastic Beanstalk.
aws-photosharing-example: This is a classic three-tier application written in Java 8 to easily upload and share photos, the application is just for demo purposes to show how scalable Java web applications can be build using Amazon Elastic Beanstalk.
aws-php-sample: Sample project to demonstrate usage of the AWS SDK for PHP
aws-pinpoint-sample: Targeted push notifications and campaign management using Amazon Pinpoint and React Native
aws-pinpoint-sample: Targeted push notifications and campaign management using Amazon Pinpoint and React Native
aws-pipeline-to-service-catalog: CloudFormation templates and Python scripts showing how to use Boto3 libraries to sync Version control with Service Catalog.
aws-pipeline-to-service-catalog: CloudFormation templates and Python scripts showing how to use Boto3 libraries to sync Version control with Service Catalog.
aws-python-sample: Sample project to demonstrate usage of the AWS SDK for Python
aws-redshift-spectrum-poc: Cloudformation and SQL scripts used to replicate a POC environment from the "Data Lake to Data Warehouse: Enhancing Customer 360 with Amazon Redshift Spectrum" post
aws-redshift-spectrum-poc: Cloudformation and SQL scripts used to replicate a POC environment from the "Data Lake to Data Warehouse: Enhancing Customer 360 with Amazon Redshift Spectrum" post
aws-refarch-drupal: This reference architecture provides best practices and a set of YAML CloudFormation templates for deploying Drupal on AWS.
aws-refarch-drupal: This reference architecture provides best practices and a set of YAML CloudFormation templates for deploying Drupal on AWS.
aws-refarch-moodle: Moodle Reference Architecture with supporting Cloud Formation templates
aws-refarch-wordpress: This reference architecture provides best practices and a set of YAML CloudFormation templates for deploying WordPress on AWS.
aws-refarch-wordpress: This reference architecture provides best practices and a set of YAML CloudFormation templates for deploying WordPress on AWS.
aws-rekognition-lex-demo: Demonstrates how to use AWS Lex to control/use AWS Rekognition.
aws-rekognition-workshop-twitter-bot: This workshop walks you through creating a smart image cropping rekognition powered twitter bot.
aws-rekognition-workshop-twitter-bot: This workshop walks you through creating a smart image cropping rekognition powered twitter bot.
aws-research-cloud: Sample code supporting the AWS Research Cloud initiative.
aws-research-cloud: Sample code supporting the AWS Research Cloud initiative.
aws-ruby-sample: Sample project to demonstrate usage of the AWS SDK for Ruby
aws-s3-artifact-manager-sample: null
aws-s3-artifact-manager-sample: null
aws-s3-nosql-offloading-blog: Code to support Databases blog post - How to offload data from your transactional NoSQL database to Amazon S3, perform advanced analytics, and build visualizations
aws-safe-lambda-deployments: Safe Deployments with AWS Lambda
aws-sagemaker-build: Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
aws-sagemaker-ml-blog-predictive-campaigns: Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker
aws-sagemaker-segmentation-example: A tutorial on how to build, train, and deploy advanced CNN architectures U-Net and ENet for per-pixel binary segmentation on SageMaker.
aws-saml-adfs-cmdlet-sample: Reference module that obtains and sets temporary AWS security credentials in a Windows PowerShell session using SAML and AD FS.
aws-saml-adfs-cmdlet-sample: Reference module that obtains and sets temporary AWS security credentials in a Windows PowerShell session using SAML and AD FS.
aws-sdk-js-sample-video-transcoder: A sample cross-platform video transcoder application built using the AWS SDK for JavaScript.
aws-sdk-unity-samples: This repository has samples that demonstrate various aspects of the AWS Mobile SDK for Unity, you can get the SDK source on Github (https://github.com/aws/aws-sdk-net)
aws-secure-cross-account-data-loader: This code demonstrates the architecture featured on the AWS big data blog (https://aws.amazon.com/blogs/big-data/ ) on securely accessing Amazon Redshift clusters across accounts by dynamically controlling the ingress rules of the clusters.
aws-security-odyssey: AWS Security Odyssey: A hands-on journey with security services and controls in the AWS cloud.
aws-security-odyssey: AWS Security Odyssey: A hands-on journey with security services and controls in the AWS cloud.
aws-security-workshops: This repo contains a collection of AWS Security related workshops.
aws-sentiment-analysis-mxnet-gluon: This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' using Apache MXNet and the Gluon programming interface.
aws-serverless-chatbot-sample: Reference code for running a Slack chatbot using AWS Lambda and Amazon API Gateway.
aws-serverless-chatbot-sample: Reference code for running a Slack chatbot using AWS Lambda and Amazon API Gateway.
aws-serverless-config-rules-workshop: Content and Instructions for completing the "Making Things Right with AWS Lambda and AWS Config Rules" Workshop.
aws-serverless-crud-sample: An example implementation of a mobile backend for a movies database using AWS Lambda, API Gateway and DynamoDb
aws-serverless-crud-sample: An example implementation of a mobile backend for a movies database using AWS Lambda, API Gateway and DynamoDb
aws-serverless-ember: Example web application for building a Serverless EmberJS based web application using AWS JavaScript SDK, Cognito User Pools, API Gateway, DynamoDB, and Lambda/S3.
aws-serverless-ember: Example web application for building a Serverless EmberJS based web application using AWS JavaScript SDK, Cognito User Pools, API Gateway, DynamoDB, and Lambda/S3.
aws-serverless-samfarm: This repo is full CI/CD Serverless example which was used in the What's New with AWS Lambda presentation at Re:Invent 2016.
aws-serverless-samfarm: This repo is full CI/CD Serverless example which was used in the What's New with AWS Lambda presentation at Re:Invent 2016.
aws-serverless-sns-fanout: Serverless Fanout example with Lambda and SNS
aws-serverless-sns-fanout: Serverless Fanout example with Lambda and SNS
aws-serverless-workshops: Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
aws-serverless-workshops: Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
aws-service-catalog-reference-architectures: AWS Service Catalog Reference Architectures
aws-sns-samples: Amazon SNS (Simple Notification Service) - Code Samples
aws-step-functions-ebs-snapshot-mgmt: Example architecture for integrating AWS Step Functions and Amazon CloudWatch Events.
aws-step-functions-ebs-snapshot-mgmt: Example architecture for integrating AWS Step Functions and Amazon CloudWatch Events.
aws-training-demo: AWS Technical Trainers Demos
aws-training-demo: AWS Technical Trainers Demos
aws-vpc-flow-log-appender: Sample code to append additional information (e.g. Security Group IDs and geolocation data) to VPC Flow Logs for analysis in Elasticsearch.
aws-vpc-flow-log-appender: Sample code to append additional information (e.g. Security Group IDs and geolocation data) to VPC Flow Logs for analysis in Elasticsearch.
aws-waf-sample: This repository contains example scripts and sets of rules for the AWS WAF service. Please be aware that the applicability of these examples to specific workloads may vary.
aws-waf-sample: This repository contains example scripts and sets of rules for the AWS WAF service. Please be aware that the applicability of these examples to specific workloads may vary.
aws-with: aws-with provides a command line utility to help manage complex AWS environments. It can perform the same action against a large number of AWS accounts and is AWS Organizations aware.
aws-workshop-for-kubernetes: AWS Workshop for Kubernetes
aws-xray-cloudwatch-event: Sample using Amazon CloudWatch Events and Alarms to notify AWS X-Ray users when their services have elevated levels of latency, errors and faults.
aws-xray-dotnet-webapp: An ASP.NET Web API application that has been instrumented for AWS X-Ray
aws-xray-dotnet-webapp: An ASP.NET Web API application that has been instrumented for AWS X-Ray
aws-xray-fargate: Code examples showing how to run AWS X-Ray as a sidecar container on Fargate for deep application insights.
aws-xray-kubernetes: Code examples showing how to run AWS X-Ray on a Kubernetes cluster for deep application insights.
aws-xray-rekognition-lambda-sample: Sample demonstrating AWS X-Ray instrumentation on Amazon Rekognition apps written on AWS Lambda
aws-xray-rekognition-lambda-sample: Sample demonstrating AWS X-Ray instrumentation on Amazon Rekognition apps written on AWS Lambda
aws-xray-scatter-sample: Sample providing showcasing long-term trends for AWS X-Ray users
blog-multi-region-serverless-service: Blog code for deploying a Serverless API into multiple regions
chalice-workshop: Contains tutorials, slides, and code for the AWS Chalice workshop.
cloudwatch-dashboards-cloudformation-sample: A sample project to demonstrate using Cloudformation, how to create and configure CloudWatch metric filters, alarms and a dashboard to monitor an AWS Lambda function.
cloudwatch-dashboards-cloudformation-sample: A sample project to demonstrate using Cloudformation, how to create and configure CloudWatch metric filters, alarms and a dashboard to monitor an AWS Lambda function.
codebuild-images: Contributed custom build environments for AWS CodeBuild
codebuild-images: Contributed custom build environments for AWS CodeBuild
codepipeline-nested-cfn: CloudFormation templates, CodeBuild build specification & Python scripts to perform unit tests of a nested CloudFormation template.
codepipeline-nested-cfn: CloudFormation templates, CodeBuild build specification & Python scripts to perform unit tests of a nested CloudFormation template.
cognito-sample-nodejs: Amazon Cognito Sample App for Node.js
cognito-sample-nodejs: Amazon Cognito Sample App for Node.js
cookiecutter-aws-sam-python: A Cookiecutter template to create a Serverless App based on Serverless Application Model (SAM) and Python 3.6
copy-encrypted-ami: Shell script that automates the copy of encrypted AMI across accounts and regions.
create-thumbnails-lambda: null
create-thumbnails-lambda: null
data-pipeline-samples: This repository hosts sample pipelines
data-pipeline-samples: This repository hosts sample pipelines
dba-automation-scripts: SQL scripts for SQL Server and Oracle and an .xls workbook with sample results.
dba-automation-scripts: SQL scripts for SQL Server and Oracle and an .xls workbook with sample results.
dynamoDB-data-replication-to-aurora: This source code is to be used as a reference for a AWS Blog post which shows you how you could implement data replication from dynamodb to Amazon Aurora using Serverless technologies such as AWS Lambda and Kinesis Firehose.
dynamoDB-data-replication-to-aurora: This source code is to be used as a reference for a AWS Blog post which shows you how you could implement data replication from dynamodb to Amazon Aurora using Serverless technologies such as AWS Lambda and Kinesis Firehose.
dynamodb-tictactoe-example-app: null
dynamodb-tictactoe-example-app: null
eb-custom-platforms-samples: Elastic Beanstalk samples for running on custom platforms
eb-custom-platforms-samples: Elastic Beanstalk samples for running on custom platforms
eb-demo-php-simple-app: null
eb-demo-php-simple-app: null
eb-docker-multiple-ports: null
eb-docker-multiple-ports: null
eb-docker-nginx-proxy: null
eb-docker-nginx-proxy: null
eb-docker-virtual-hosting: null
eb-docker-virtual-hosting: null
eb-java-scorekeep: RESTful web API in Java with Spring that provides an HTTP interface for creating and managing game sessions and users.
eb-java-scorekeep: RESTful web API in Java with Spring that provides an HTTP interface for creating and managing game sessions and users.
eb-locustio-sample: AWS Elastic Beanstalk sample code to run the load testing tool, locust.
eb-locustio-sample: AWS Elastic Beanstalk sample code to run the load testing tool, locust.
eb-node-express: null
eb-node-express: null
eb-node-express-sample: Sample Express application for AWS Elastic Beanstalk
eb-node-express-sample: Sample Express application for AWS Elastic Beanstalk
eb-node-express-signup: null
eb-node-express-signup: null
eb-php-drupal: Configuration files and instructions for installing Drupal securely and running it in a load balanced AWS Elastic Beanstalk environment with an EFS file system for shared assets.
eb-php-drupal: Configuration files and instructions for installing Drupal securely and running it in a load balanced AWS Elastic Beanstalk environment with an EFS file system for shared assets.
eb-php-wordpress: Configuration files and instructions for installing WordPress securely and running it in a load balanced AWS Elastic Beanstalk environment with an EFS file system for shared assets.
eb-php-wordpress: Configuration files and instructions for installing WordPress securely and running it in a load balanced AWS Elastic Beanstalk environment with an EFS file system for shared assets.
eb-py-flask-signup: null
eb-py-flask-signup: null
eb-py-flask-signup-worker: null
eb-py-flask-signup-worker: null
eb-python-flask: null
eb-python-flask: null
eb-tomcat-snakes: Tomcat application that shows the use of Amazon RDS in a Java EE web application in AWS Elastic Beanstalk.
eb-tomcat-snakes: Tomcat application that shows the use of Amazon RDS in a Java EE web application in AWS Elastic Beanstalk.
eb-wif-sample: null
eb-wif-sample: null
ec2-spot-montecarlo-workshop: Material for re:Invent 2017 - CMP316 - Workshop: Hedge Your Own Funds: Run Monte Carlo Simulations on Amazon EC2 Spot Fleets
ecs-blue-green-deployment: Reference architecture for doing blue green deployments on ECS.
ecs-blue-green-deployment: Reference architecture for doing blue green deployments on ECS.
ecs-canary-blue-green-deployment: Example code for demonstrating a canary "blue-green" deployment strategy for use with EC2 Container Service (ECS).
ecs-canary-blue-green-deployment: Example code for demonstrating a canary "blue-green" deployment strategy for use with EC2 Container Service (ECS).
ecs-cid-sample: In this code provided with the blog, we will demonstrate how to use the draining state to update the AMI used by EC2 instances in your cluster by updating the launch configuration of your auto-scaling group. The process also ensures that the EC2 instances get the tasks drained the tasks launch on new container instance before termination occurs.
ecs-cid-sample: In this code provided with the blog, we will demonstrate how to use the draining state to update the AMI used by EC2 instances in your cluster by updating the launch configuration of your auto-scaling group. The process also ensures that the EC2 instances get the tasks drained the tasks launch on new container instance before termination occurs.
ecs-deep-learning-workshop: Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances
ecs-deep-learning-workshop: Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances
ecs-demo-php-simple-app: A simple PHP sample application http://aws.amazon.com/ecs
ecs-demo-php-simple-app: A simple PHP sample application http://aws.amazon.com/ecs
ecs-machine-learning: An EC2 Container Service Architecture which provides the infrastructure for Deep Learning
ecs-machine-learning: An EC2 Container Service Architecture which provides the infrastructure for Deep Learning
ecs-mxnet-example: An example project to deploy MXNet inference API with Docker on Amazon ECS. Uses CodePipeline and CodeBuild to build the image to deploy to ECS.
ecs-mxnet-example: An example project to deploy MXNet inference API with Docker on Amazon ECS. Uses CodePipeline and CodeBuild to build the image to deploy to ECS.
ecs-refarch-batch-processing: A reference architecture for handling batch processing workloads using Amazon ECS.
ecs-refarch-batch-processing: A reference architecture for handling batch processing workloads using Amazon ECS.
ecs-refarch-cloudformation: A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
ecs-refarch-cloudformation: A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)
ecs-refarch-cloudformation-windows: This reference architecture provides a set of YAML templates for creating an Elastic Container Service (ECS) cluster that is comprised of Windows instances.
ecs-refarch-mixed-mode: Provides reference architecture and CloudFormation templates to power ECS using a mix of spot instances and ondemand instances with independent autoscaling
ecs-refarch-task-rebalancing: A serverless approach using AWS Lambda and Amazon ECS Event Stream to proactively rebalance the ECS tasks.
ecs-refarch-task-rebalancing: A serverless approach using AWS Lambda and Amazon ECS Event Stream to proactively rebalance the ECS tasks.
elasticache-geospatial-public-bikes: Sample application that demonstrates use of Redis Geospatial commands using Amazon ElastiCache, AWS Lambda, and Serverless Application Model.
elasticache-geospatial-public-bikes: Sample application that demonstrates use of Redis Geospatial commands using Amazon ElastiCache, AWS Lambda, and Serverless Application Model.
elasticache-refarch-chatapp: Example architecture for building a chat application using ElastiCache for Redis.
elasticache-refarch-chatapp: Example architecture for building a chat application using ElastiCache for Redis.
emr-bootstrap-actions: This repository hold the Amazon Elastic MapReduce sample bootstrap actions
emr-bootstrap-actions: This repository hold the Amazon Elastic MapReduce sample bootstrap actions
emr-pmml-demo: A demo on exporting PMML models from Spark applications and then importing into a lambda function.
emr-pmml-demo: A demo on exporting PMML models from Spark applications and then importing into a lambda function.
emr-presto-query-event-listener: Implementation of the query event listener plugin in Java to log Presto statistics on Amazon EMR for auditing and performance insights
emr-sample-apps: Amazon Elastic MapReduce code samples
emr-sample-apps: Amazon Elastic MapReduce code samples
field-level-encryption-sample: Add Description
finding-missing-persons-using-social-media-and-amazon-rekognition: Collection of Python and AWS Lambda scripts to find a missing person using twitter streaming data and Amazon Rekognition
flink-stream-processing-refarch: Reference architecture for real-time stream processing with Apache Flink on Amazon EMR, Amazon Kinesis, and Amazon Elasticsearch Service.
flink-stream-processing-refarch: Reference architecture for real-time stream processing with Apache Flink on Amazon EMR, Amazon Kinesis, and Amazon Elasticsearch Service.
golang-deployment-pipeline: An example of infrastructure and application CI/CD with AWS CodePipeline, AWS CodeBuild, AWS CloudFormation and AWS CodeDeploy
golang-deployment-pipeline: An example of infrastructure and application CI/CD with AWS CodePipeline, AWS CodeBuild, AWS CloudFormation and AWS CodeDeploy
harmonize-search-analyze: Code samples related to "Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS" (https://aws.amazon.com/blogs/big-data/harmonize-search-and-analyze-loosely-coupled-datasets-on-aws/) published on the Big Data Blog
harmonize-search-analyze: Code samples related to "Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS" (https://aws.amazon.com/blogs/big-data/harmonize-search-and-analyze-loosely-coupled-datasets-on-aws/) published on the Big Data Blog
headpose-estimator-apache-mxnet: Head Pose estimator using Apache MXNet. HeadPose_ResNet50_Tutorial.ipynb helps you to walk through an entire work flow of developing a CNN model from the scratch including data augmentation, fine-tuning, training, saving check-point model artifacts, validation and inference.
immersive-media-refarch: A full end to end workflow from encoder to play-out for Live and VOD-from-live.
immersive-media-refarch: A full end to end workflow from encoder to play-out for Live and VOD-from-live.
java-meme-generator-sample: Sample code for a java application that uses Elastic Beanstalk, S3, DynamoDB, and SQS to create a meme generation website and processing pipeline. For a demonstration of the application in action, see this talk from AWS re:Invent 2012: http://www.youtube.com/watch?v=YeRNErD81VA
kinesis-poster-worker: Simple multi-threaded Kinesis Poster and Worker Python examples
kinesis-poster-worker: Simple multi-threaded Kinesis Poster and Worker Python examples
lambda-apigateway-twilio-tutorial: Getting started with AWS Lambda + Amazon API Gateway. Use Twilio MMS to upload photos to S3 without servers.
lambda-apigateway-twilio-tutorial: Getting started with AWS Lambda + Amazon API Gateway. Use Twilio MMS to upload photos to S3 without servers.
lambda-ecs-worker-pattern: This example code illustrates how to extend AWS Lambda functionality using Amazon SQS and the Amazon EC2 Container Service (ECS).
lambda-ecs-worker-pattern: This example code illustrates how to extend AWS Lambda functionality using Amazon SQS and the Amazon EC2 Container Service (ECS).
lambda-go-samples: An example of using AWS Lambda with Go
lambda-java8-dynamodb: null
lambda-java8-dynamodb: null
lambda-kotlin-groovy-example: Sample code for the "Kotlin and Groovy JVM Languages with AWS Lambda" blog post. Shows how to deploy AWS Lambda functions using Kotlin and Groovy JVM languages.
lambda-kotlin-groovy-example: Sample code for the "Kotlin and Groovy JVM Languages with AWS Lambda" blog post. Shows how to deploy AWS Lambda functions using Kotlin and Groovy JVM languages.
lambda-refarch-fileprocessing: Serverless Reference Architecture for Real-time File Processing
lambda-refarch-fileprocessing: Serverless Reference Architecture for Real-time File Processing
lambda-refarch-imagemoderationchatbot: The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing explicit or suggestive images from channels of popular chat apps using Amazon API Gateway, AWS Lambda, and Amazon Rekognition.
lambda-refarch-imagemoderationchatbot: The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing explicit or suggestive images from channels of popular chat apps using Amazon API Gateway, AWS Lambda, and Amazon Rekognition.
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.
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.
lambda-refarch-iotbackend: Serverless Reference Architecture for creating an IoT Backend
lambda-refarch-iotbackend: Serverless Reference Architecture for creating an IoT Backend
lambda-refarch-mobilebackend: Serverless Reference Architecture for creating a Mobile Backend
lambda-refarch-mobilebackend: Serverless Reference Architecture for creating a Mobile Backend
lambda-refarch-streamprocessing: Serverless Reference Architecture for Real-time Stream Processing
lambda-refarch-streamprocessing: Serverless Reference Architecture for Real-time Stream Processing
lambda-refarch-voteapp: null
lambda-refarch-voteapp: null
lambda-refarch-webapp: Serverless Reference Architecture for creating a Web Application
lambda-refarch-webapp: Serverless Reference Architecture for creating a Web Application
machine-learning-samples: Sample applications built using AWS' Amazon Machine Learning.
machine-learning-samples: Sample applications built using AWS' Amazon Machine Learning.
moodle-mod_appstream: This is a Plugin for Moodle that allows a teacher to assign an activity the student completes in AppStream
mqtt-kinesis-bridge: Simple MQTT to Kinesis bridge Python example
mqtt-kinesis-bridge: Simple MQTT to Kinesis bridge Python example
mturk-code-samples: Code samples to help you get started with the Amazon Mechanical Turk Requester API
mturk-code-samples: Code samples to help you get started with the Amazon Mechanical Turk Requester API
mturk-jupyter: Jupyter Notebook samples to make it simple to use Amazon Mechanical Turk
opsworks-attribute-customization: AWS OpsWorks attribute customization example
opsworks-capistrano: This repository has examples of using Capistrano with instances managed by AWS OpsWorks.
opsworks-chef-automate-demo: An example CloudFormation template and cookbook for Chef
opsworks-chef-automate-kubernetes: Check for compliance of worker nodes in a Kubernetes cluster using AWS OpsWorks for Chef Automate.
opsworks-cloudwatch-logs-cookbooks: null
opsworks-demo-php-photo-share-app: A sample PHP application for running on AWS OpsWorks
opsworks-demo-php-simple-app: A simple PHP sample application for running on AWS OpsWorks
opsworks-demo-rails-photo-share-app: A sample Rails application for running on AWS OpsWorks
opsworks-elasticsearch-cookbook: AWS OpsWorks Elasticsearch sample cookbook
opsworks-example-cookbooks: AWS OpsWorks cookbooks used with the sample applications
opsworks-first-cookbook: AWS OpsWorks cookbook used to demonstrate simple recipes to get started
opsworks-linux-demo-cookbook-nodejs: AWS OpsWorks cookbooks for Node.js demo on Linux
opsworks-windows-demo-cookbooks: AWS OpsWorks cookbooks for Windows used with the sample applications
opsworks-windows-demo-nodejs: A sample Node.JS application for running on AWS OpsWorks
py-flask-signup-docker: Sample Python application to show the capabilities of EC2 Container Service.
py-flask-signup-docker: Sample Python application to show the capabilities of EC2 Container Service.
pywren-workshops: Various workshop labs that make use of pywren to massively process data in parallel with AWS Lambda
pywren-workshops: Various workshop labs that make use of pywren to massively process data in parallel with AWS Lambda
reactive-refarch-cloudformation: Reactive Microservices Architectures with Amazon ECS, AWS Lambda, Amazon Kinesis Streams, Amazon ElastiCache, and Amazon DynamoDB
reinvent2013-js-blog-demo: Demo blogging application using the AWS SDK for JavaScript in the browser
reinvent2013-mobile-photo-share: null
reinvent2014-scalable-site-management: null
reinvent2014-scalable-site-management: null
reinvent2015-dev309: Code examples for the AWS re:Invent 2015 presentation "Large Scale Metrics Analysis in Ruby"
reinvent2015-practicaldynamodb: null
reinvent-2017-deeplens-workshop: A reference Lambda function that predicts image labels for a image using a MXNet built deep learning model
reinvent2017-dev207-code: Sample code for "Deploying and Managing Ruby Applications on AWS" from AWS re:Invent 2017
reinvent-fine-tune-mxnet-model-for-ios-coreml: Python code, deep learning models and associated jupyter notebooks to be used by the participants of the deep learning workshop at re:Invent 2017 (MCL311).
reinvent-sid345-workshop-sample: This is a sample application for use in a re:Invent 2017 workshop. It includes an initial skeleton application and exercises to add encryption using the AWS Encryption SDK to the application.
robocarrally: The python files are designed to be run on a raspberrypi and send wheel rotationtelemetry to the AWS IoT Service. The DonkeyDashboard is a static website.
SageMaker_seq2seq_WordPronunciation: Sequence to Sequence modeling have seen great performance in building models where the input is a sequence of tokens (words for example) and output is also a sequence of tokens. The notebook provides an end-to-end training example of training the English word pronunciation model.
serverless-automated-cost-controls: Sample implementation of serverless automated cost controls using AWS Budgets, Amazon SNS and AWS Lambda
serverless-cf-analysis: null
serverless-cf-analysis: null
serverless-codecommit-examples: Examples of serverless automation to process CodeCommit repository changes using CloudWatch Events.
serverless-codecommit-examples: Examples of serverless automation to process CodeCommit repository changes using CloudWatch Events.
serverless-data-analytics: CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries
serverless-hotdog-detector: This example shows you how to build a serverless hotdog detecting application on AWS using Amazon Rekognition, AWS Lambda, and Amazon API Gateway.
serverless-sagemaker-orchestration: This example shows how to build a serverless pipeline to orchestrate the continuous training and deployment of a linear regression model for predicting housing prices using Amazon SageMaker, AWS Step Functions, AWS Lambda, and Amazon CloudWatch Events.
sf-summit-hackathon-2018: Starter template and sample data for the 2018 AWS SF Summit hackathon
simplerobotservice: A cloud-connected robot arm that subscribes to a gesture input device (Leap Motion) via the AWS IoT service.
simplerobotservice: A cloud-connected robot arm that subscribes to a gesture input device (Leap Motion) via the AWS IoT service.
specialty-practice-code-samples: Scripts for use in AWS Database Blogs
specialty-practice-code-samples: Scripts for use in AWS Database Blogs
startup-kit-nodejs: A Node.js sample workload for use with the AWS Startup Kit.
startup-kit-nodejs: A Node.js sample workload for use with the AWS Startup Kit.
startup-kit-serverless-workload: An example serverless RESTful API, to be deployed via the AWS Serverless Application Model (SAM).
startup-kit-serverless-workload: An example serverless RESTful API, to be deployed via the AWS Serverless Application Model (SAM).
startup-kit-templates: CloudFormation templates for setting up a startup's well-architected infrastructure on AWS.
startup-kit-templates: CloudFormation templates for setting up a startup's well-architected infrastructure on AWS.
step-functions-ruby-activity-worker: The code contains a example implementation of Step Functions activity worker written in Ruby
swift-ecs-workshop: Example code for container workshop for re:Invent.
swift-ecs-workshop: Example code for container workshop for re:Invent.
sync-buckets-state-machine: A sample AWS Step Functions (SFN) state machine, designed to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket.
sync-buckets-state-machine: A sample AWS Step Functions (SFN) state machine, designed to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket.
timely-security-analytics: Demo code for the Timely Security Analytics and Analysis 2015 Re:Invent presentation.
timely-security-analytics: Demo code for the Timely Security Analytics and Analysis 2015 Re:Invent presentation.
todo-app-railsconf: Another iteration of the "Todo" sample app for our lab at RailsConf 2015.
todo-sample-app: Sample Ruby on Rails application demonstrating integration with AWS services.
todo-sample-app-cookbooks: Custom AWS OpsWorks cookbooks associated with the todo-sample-app.
wild-rydes-mobile: Learn serverless mobile cloud computing with this fictional unicorn ride-sharing app.

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.