- AWS Solutions Library
- Guidance for Generating Support Case Insights on AWS
Guidance for Generating Support Case Insights on AWS
Overview
This Guidance demonstrates how to address the challenge of inaccurate numerical analysis in traditional RAG-based analytics by combining semantic search with structured data querying to deliver deterministic, reliable insights for AWS Support cases. The implementation uses AI Agents built on the Strands Agents SDK, running on a serverless architecture, to process user queries through a REST API or web interface, automatically collecting and analyzing support case data from multiple AWS accounts. Amazon Bedrock Knowledge Bases provides managed RAG capabilities while Amazon Athena handles precise aggregations, creating a comprehensive approach to support case insights without complex custom integrations. You gain more accurate and actionable insights from support cases data, improving your operational decision-making and incident response capabilities.
Benefits
Reduce time spent analyzing AWS Support cases by using AI-powered search to surface relevant patterns and actionable insights from your case history in near real-time.
Eliminate manual case review with scheduled, serverless data collection and processing that continuously keeps your knowledge base current across all linked AWS accounts.
Empower your teams to ask natural language questions and receive accurate, contextual answers drawn from your organization's AWS Support history using retrieval-augmented generation.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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