Welcome to the AWS Marketplace Sample Patterns repository! This repository contains a collection of sample pattenrs to help you build solutions on AWS using 3rd party software. Each of the examples showcases a specific use case and is designed to help you get started with software acquired from the AWS Marketplace.
Disclaimer: Sample code, software libraries, command line tools, proofs of concept, templates, or other related technology are provided as AWS Content or Third-Party Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content or Third-Party Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content or Third-Party Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content or Third-Party Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
Hello Builder!
In this repo you will find sample solutions, tools and other code artifacts targeted at helping you build solutions on AWS using 3rd party software products faster!
Each of the directories in this repository accompanies some technical guidance document, which you will find linked directly in the README.md of each directory.
If you have questions, comments or suggestions please use the Issues feature in the repository.
This following table lists the available patterns, each liked to its respective directory:
| Pattern | Description | Implementation Guide | Code |
|---|---|---|---|
| LLM RAG In Practice | Building a Conversational Interface for your Searchable Data | Guide | Code |
| Observable EKS Clusters | Self-Service Observable Kubernetes with Amazon CDK and Grafana Cloud | Guide | Code |
| End to End RAG with Elastic and Amazon Bedrock | Fully automated infrastructure code for an end to end RAG implementation | Guide | Code |
| Real-time fraud detection with Confluent Cloud on AWS | Identify fraudulent transaction attempts using Confluent Cloud Kafka and Flink, together with AWS RedShift and OpenSearch | Guide | Code |
| MongoDB Atlas Microservices API with Semantic Search | Complete microservices architecture with MongoDB Atlas, vector search, and Amazon Bedrock for AI-powered semantic search | Guide | Code |
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See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.