aws-cdk-examples
Example projects using the AWS CDK
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the aws-samples organization.
Example projects using the AWS CDK
This is a workshop designed for Amazon Bedrock a foundational model service.
Serverless patterns. Learn more at the website: https://serverlessland.com/patterns.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Application implementation with business use cases for safely utilizing generative AI in business operations
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
AWS-native chatbot using Bedrock
Example solutions demonstrating how to implement patterns within the AWS Security Reference Architecture guide using CloudFormation (including Customizations for AWS Control Tower) and Terraform.
Runs checks to see if an EKS cluster follows EKS Best Practices.
A lightning-fast, cross-platform mobile AI Assistant App built with React Native.
AWS Workshop for Learning EKS
Sample Amazon Lex chat bot web interface
aws2tf - automates the importing of existing AWS resources into Terraform and outputs the Terraform HCL code.
AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.
A solution for collecting, correlating and visualizing multiple types of logs to help investigate security incidents.
Hands-on labs for Amazon EKS
Open-source temporary elevated access solution for AWS IAM Identity Center.
A tool for customers to evaluate their AWS service configurations based on AWS and community best practices and receive recommendations on potential improvements.
💬 Chat application using AWS IoT platform via MQTT over the WebSocket protocol
A workshop for forming cross-organizational teams and planning a machine-learning-driven growth cycle.