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Skill 29 · Knowledge Base For Startups
Subchapter 29.1
references/build.mdMarkdown10 KBView on GitHub
Searchable index of sample architectures and solution guides for startups building on AWS. Each detail file has an Overview, AWS services used, a metadata chip set (deployment method / estimated time / cost calculator), and a primary Get-Started link — typically an AWS Workshop or a GitHub sample repo.
Use the Keywords column to filter by category (GenAI, Container, Analytics, Security, Operation) or AWS service.
| Solution | Summary | Keywords |
|---|---|---|
| Claude Code with Amazon Bedrock (opens in a new tab) | Guides for using Claude Code with Amazon Bedrock | GenAI, Amazon Bedrock |
| Build with Amazon EKS (opens in a new tab) | Hands-on workshops for Amazon EKS | Container, Amazon EKS |
| RAG with S3 Vectors (opens in a new tab) | Examples of using S3 Vectors for RAG Architecture | GenAI, RAG, Amazon S3, Amazon Bedrock |
| AWS Database Cookbook (opens in a new tab) | Cookbook for seamlessly deploying relational databases on AWS, from fundamentals to GenAI implementation | Amazon Aurora, Amazon RDS, AWS Lambda, Amazon API Gateway, Amazon Cognito, AWS Identity and Access Management, AWS Amplify, Amazon S3, AWS CloudFormation |
| Build Cost-Effective Data Platform (opens in a new tab) | Build a cost-effective data platform using Amazon Athena and dbt | Analytics, Amazon Athena, AWS Glue, Amazon QuickSight |
| AWS Security Check using Amazon Q Developer CLI (opens in a new tab) | Assess and strengthen AWS account security with Amazon Q Developer CLI | Security, Amazon Q Developer CLI |
| Build zero-ETL Integrations (opens in a new tab) | Examples illustrating how to build zero-ETL integrations | Analytics, Amazon RDS, Amazon Redshift |
| Build AI Agent (opens in a new tab) | Examples illustrating how to build AI agents with Strands | GenAI, Amazon Bedrock, Strands Agents |
| Implement Observability on AWS (opens in a new tab) | Guide for implementing observability on AWS | Operation, Amazon CloudWatch, AWS X-Ray, Amazon Bedrock |
| Build MCP Server and Client (opens in a new tab) | Sample solution for building an MCP server and client on AWS | GenAI, MCP, Amazon Bedrock |
| Build Data Analytics using Amazon DMS (opens in a new tab) | Sample architecture for building data analytics using Amazon DMS | Analytics, Amazon DMS, Amazon OpenSearch Service |
| RAG with Amazon Bedrock Knowledge Bases (opens in a new tab) | Sample architecture to build a RAG chatbot using Amazon Bedrock Knowledge Bases | GenAI, RAG, Amazon Bedrock |
| Create Web Analytics (Iceberg on AWS) (opens in a new tab) | Collect web logs with API Gateway and store them in S3 through Amazon Kinesis | Analytics, AWS Amplify, Amazon API Gateway, Amazon S3, Amazon Kinesis, Apache Iceberg |
| Host Gen AI-powered RFP Assistant (opens in a new tab) | Code and infrastructure for a Generative AI–powered Request for Proposal (RFP) assistant using Amazon Bedrock and AWS CDK | GenAI, Amazon Bedrock, AWS CDK, RFP |
These Build solutions exist on the live site but their detail pages require an AWS Activate sign-in. Tell the customer: “There’s a Build sample that might be useful — please sign in to view it.“ Point them at the live URL below.
| Solution | Summary | Keywords |
|---|---|---|
| Build Gen AI Application with MongoDB (Partner Solution) (opens in a new tab) | Reference architecture for a production-ready Generative AI application using MongoDB Atlas, Amazon Bedrock, LangChain, and Streamlit | GenAI, Amazon Bedrock, MongoDB Atlas, LangChain, Streamlit |
| Build with Amazon Bedrock (AWS Solution) (opens in a new tab) | Hands-on experience with foundation models — composing emails, summarizing text, answering questions, building chatbots, creating images, and generating code | GenAI, Amazon Bedrock, LangChain, FAISS |
| Build Generative AI Application (opens in a new tab) | Examples illustrating how to create your own Gen AI solutions | GenAI, Generative AI |
| Create Internal Microservices (opens in a new tab) | Sample solutions to build applications using microservice patterns | Microservices |
| Event-Driven Applications (opens in a new tab) | Sample solutions to build event-driven, serverless applications | Serverless, Event-Driven |
| Build Automation with Machine Learning (opens in a new tab) | Examples illustrating how to build automated machine learning solutions using AWS AI services | Machine Learning |
| Analyze Data via a Data Lake (opens in a new tab) | Sample solution for deploying a data lake infrastructure on AWS using CDK Pipelines | Data Lake, AWS CDK |
| Semantic Search on AWS (opens in a new tab) | Set up AWS infrastructure to perform semantic search and question answering on documents with ML | Machine Learning, Semantic Search |