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AWS Samples's Projects

aws-serverless-vending-machine icon aws-serverless-vending-machine

This sample application demonstrate how to create a solution to developer teams consume IaC Products, like a "Vending Machine", to automated deploy cloud service in their AWS Accounts without open a ticket or request in IT department.

aws-serverless-workshop-decoupled-architecture icon aws-serverless-workshop-decoupled-architecture

A sample .NET web application based on decoupled architecture design principles. Leave Management Application Demo using Amazon ECS, AWS Lambda, Amazon ALB, Amazon API Gateway Amazon DynamoDB, AWS Step Functions, AWS SNS and AWS X-Ray services to create a completely decoupled architecture.

aws-service-catalog-portfolio-partition icon aws-service-catalog-portfolio-partition

An AWS Lambda package including two functions to dynamically maintain a security partition around a group of AWS resources which originated in AWS Service Catalog Products of the same Portfolio.

aws-service-catalog-preventive-control icon aws-service-catalog-preventive-control

Large enterprises try to find a balance between controlling risk and empowering their developers in alignment with DevOps practices. Ideally developers are able to leverage AWS services and create optimized architectures for their applications. This solution addresses the risk and empowerment concerns by using AWS Service Catalog to exposed hardened AWS services to developers. By leveraging AWS Service Catalog products for each AWS Service; developers can create their own architectures with a self-service experience. This solution provides CloudFormation templates to make it easier for developers to automate the provisioning of the Service Catalog products.

aws-service-catalog-sagemaker-studio-domain icon aws-service-catalog-sagemaker-studio-domain

Workshop to launch Amazon SageMaker Studio domain using AWS Service Catalog and AWS SSO in the AWS Control Tower environment, using AWS CloudFormation templates and lambda functions.

aws-shadow-deployment icon aws-shadow-deployment

This repository contains example template that show how to deploy your newly trained model in production environment as shadow and received the same traffic as the existing prod model without influencing production.

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