This case study carousel breaks down the end-to-end architecture of a production RAG deployment on Amazon Bedrock, built to solve fragmented DevOps data, manual task execution, and slow infrastructure debugging. Covering model selection, AWS service stack, security controls, and real go-live outcomes, including full Jira automation and Git commit workflows, at a total monthly infrastructure cost of $2,748. A practical reference for engineering teams evaluating AI-powered DevOps automation on AWS.