Sample solutions that combine AWS and Databricks to solve real customer problems. This repository is the single, curated home for AWS + Databricks sample code: each subdirectory is a self-contained sample with its own README and setup instructions. If a Databricks-related AWS sample is not in this repository, it is not part of this collection.
| Sample | What it shows |
|---|---|
autonomous-retail-replenishment-genie-quick-mmf |
A closed detect → decide → act replenishment loop: Databricks Many Model Forecasting (MMF) serving Amazon Chronos-2 for demand forecasts, a Databricks Genie Agent for natural-language surge detection, and Amazon Quick reconciling forecasts against live supplier availability in Amazon S3 Tables to place orders or raise exception tickets. Companion code for the AWS ML Blog and AWS Partner Network (APN) blog posts. |
databricks-genie-agentcore-mcp |
Expose a Databricks Genie space as a governed MCP tool through an Amazon Bedrock AgentCore Gateway: Amazon Cognito handles inbound auth, an AgentCore OAuth2 credential provider handles outbound M2M auth to Databricks, and a Strands agent (local or on AgentCore Runtime) answers business questions over natural-language Genie queries. |
<sample-name>/ one self-contained sample per directory
README.md what it does, prerequisites, and step-by-step setup
... sample source, notebooks, infrastructure, and docs
Each sample directory is independent — start from that sample's own README.md.
See CONTRIBUTING.md. New samples are added as a new top-level directory via pull request and are reviewed by the maintainers listed in CODEOWNERS.
See CONTRIBUTING.md for how to report a security issue.
This library is licensed under the MIT-0 License. See the LICENSE file.