aws-solutions-library-samples
Change the repository type filter
All
Repositories list
227 repositories
- Enables developers to build, deploy, and manage multiple specialized agents that work together to tackle complex workflows. Each agent focuses on a specific task, breaks down processes into manageable steps, assigns tasks to the appropriate agents, and ensures accurate, and reliable outcomes.
- This guidance focuses on the part of payments processing systems that post payments to recieving accounts. In this phase, inbound transactions are evaluated, have accounting rules applied to them, then are posted into customer accounts.
- The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.
- The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
- This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance
- This Guidance helps customers design a resilient batch process application using AWS services
- This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.
- This demo provides an automated loan application that streamlines document submission, verification, underwriting and approval processes.
- This Guidance demonstrates how to automate the deployment of an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for external single sign-on authentication.
- Tag based CloudWatch dashboard uses CDK and resource groups tagging API to automatically produce CloudFormation templates for CloudWatch dashboard.
- This Guidance demonstrates how to securely run Model Context Protocol (MCP) servers on the AWS Cloud using containerized architecture. It helps organizations implement industry-standard OAuth 2.0 authentication while protecting server deployments with multiple security layers, including content delivery networks and web application firewalls.
- This GenAI solution enables users to extract insights from diverse data formats (video, audio, PDFs, text) through a unified interface. Using AWS AI services, it processes and indexes content at scale, provides quick summaries, and delivers contextualized answers with direct links to source materials.
- This Guidance demonstrates how to enhance database resiliency using a Maximum Data Availability Architecture (MD2A). It introduces MD2A, a data platform that uses APIs and SDKs to deliver full-stack resiliency from the user interface to the database layers.
- This guidance provides code and instructions to create a multi Kubernetes cluster environment to host a match making and game server solution, integrating Open Match, Agones and Amazon Elastic Kubernetes Service (Amazon EKS), for a session-based multiplayer game.
- Automated Forensics Orchestrator for Amazon EC2 is a self-service AWS Solution implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture and examine data from EC2 instances and attached volumes as evidence for forensic ana…