BuildWithAI: Architecting a Serverless DR Toolkit on AWS

The article provides a detailed overview of the architecture and security measures implemented in an AI-powered disaster recovery planning tool built using Amazon Bedrock, AWS's managed service for large language models (LLMs). The project aims to help AWS builders plan, document, and audit their disaster recovery posture with the assistance of generative AI. Here are the key components discussed:

Architecture Overview

1. Serverless Stack:

   • API Gateway: Acts as a front-end layer.
   • Lambda Functions: Handle business logic.
   • S3 Bucket: Stores static assets and configuration files.

2. Central Configuration:

   • A JSON file (models.config.json) centralizes all model configurations, including ARNs for inference profiles and foundation models.
   • The serverless-models.js script auto-generates IAM policies based on the configurations in this file.

3. Cost Guardrails:

   • Five layers of protection to prevent unexpected costs:
     1. API Gateway Rate Limiting: Limits requests per second.
     2. Daily Usage Caps: Sets a limit on daily usage for each tool.
     3. Bedrock Token Caps: Hard limits on the number of tokens used

Read the full article at DEV Community

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