About This Architecture

Event-driven serverless orchestration architecture leveraging AWS Step Functions to coordinate 11 specialized Lambda functions across data ingestion, AI classification, and monitoring workflows. Step Functions orchestrates the entire pipeline: Entry Lambda triggers SAP MIS data fetch, JSON Schema validation, and RDS PostgreSQL writes, while parallel branches handle Bedrock Claude intent classification, NLP task extraction, vector similarity search, SLA monitoring, and ML-based anomaly detection. This architecture demonstrates best practices for serverless state management, separating stateless compute (Lambda) from durable orchestration (Step Functions) to achieve fault tolerance and observability at scale. Fork this diagram on Diagrams.so to customize Lambda memory allocations, add DLQ error handling, or integrate additional Bedrock models for your AI-powered workflow automation. The VPC design isolates compute in private subnets with NAT Gateway egress, while CloudFront and Cognito secure the frontend hosted on S3.

People also ask

How do I orchestrate multiple AWS Lambda functions with Step Functions for AI-powered data processing and anomaly detection?

Use AWS Step Functions as a unified state machine to coordinate Lambda functions for data ingestion, Bedrock Claude classification, vector similarity search, and ML anomaly detection, with RDS PostgreSQL persistence and VPC isolation as shown in this architecture diagram.