AWS Bento Deck

AWS APJ Startup Samples

Welcome. This repository has been prepared by Startup Solution Architects in AWS APJ to help startups easily discover additional resources, including sample code, workshops, and demos.

We hope this repository helps you navigate the available options and maximize the value of running on AWS. As always, if you have any questions, please don't hesitate to contact your local AWS startup team. If you're not already connected with them, you can reach out here: https://aws.amazon.com/startups/contact-us

What's Inside

The repository is organized by domain. Below is a summary of the areas covered:

Domain	Areas Covered
Agentic Workloads	Agentic Patterns, Model Selection & Agent Platform
Agentic Coding	Kiro, Claude Code, AI-DLC Practices, Kiro Autonomous & Frontier Agents
Analytics	OpenSearch, Ingestion, Streaming, Processing, Cloud Data Warehouse, Data Lake, S3 Tables, QuickSight
Databases	Relational, Non-relational, Timestream, Vector Databases
AI Infra	SageMaker, Fine-tuning, Inference, Training
Modern Applications	AI on EKS, ML Orchestration, Containers, Serverless & Event-Driven Architecture
Security & Compliance	Identity, IDP, Compliance, Cloud and Data Sovereignty
Amazon Connect	Voice, Call Centers & Back Offices

How to use this repository

This repository is large and contains many projects, making it a monorepo.
To save time and disk space, we recommend cloning only the directories you need rather than downloading the entire repository.

You can do this using git sparse-checkout.

For example, if you want to clone the agentic-workloads/sample-1 project, run:

git clone https://github.com/aws-samples/sample-apj-sup-sa.git
cd sample-apj-sup-sa
git sparse-checkout init --cone
git sparse-checkout set agentic-workloads/sample-1

For more details on git sparse-checkout, see: https://github.blog/2020-01-17-bring-your-monorepo-down-to-size-with-sparse-checkout/

Additional Resources

Startup Build Solutions

In addition to the resources in this repository, Startup Build Solutions offers sample code and step-by-step guides on many of the topics covered here, tailored to help startups adopt them more effectively. We encourage you to explore it alongside this repository.

You may also find the following resources helpful as you build on AWS:

• AWS Architecture Center – Reference architectures and best practices
• AWS Well-Architected Framework – Design principles for cloud workloads
• AWS Solutions Library – Vetted technical solutions and patterns
• AWS Sample Code – Official AWS sample code repositories

Important Notes

• All samples in this repository are provided for reference purposes only.
• Please ensure a thorough security review before applying any sample to a production environment.
• Usage of AWS services may incur costs. Be sure to review the relevant pricing pages before deploying.

License

This library is licensed under the MIT-0 License. See the LICENSE file for details. The agentic-workloads/unicorn-rental-dataset/ folder is licensed under CC0-1.0 — see its own LICENSE file.