Customer Data Import Gateway Service
This architecture diagram, titled Customer Data Import Gateway, represents a robust, event-driven, secure, and scalable pipeline for ingesting files from external customer systems into a cloud-native data processing backend. It integrates the AWS Transfer Family solution, malware scanning, routing, error handling, and customer-specific processingβall within AWS server-less infrastructure .
π End-to-End Flow Breakdown:
π§ββοΈ Customer Interaction
Customers initiate file transfers via:
AWS Transfer Family using SFTP or AS2
Direct S3 uploads to the Customer B2B S3 bucket
Planned integration with public REST APIs
π₯ Data Ingestion Layer
Files enter the Data Ingest Endpoints and are deposited into the S3 Landing Bucket
An event is triggered (via S3 or EventBridge)
π‘οΈ Security Scanning
Files from the Landing Bucket are picked up by a Cloud Security Scanner:
If malware is detected, the file is moved to the S3 Quarantine Bucket
This triggers:
An Error Handler Lambda
Alerts/paging via an integrated Alert System and Ticketing System
Human triage/escalation
β Clean File Routing
If the file is clean, it's moved to an S3 Clean Customer Bucket
A Routing Lambda:
Retrieves customer-specific configurations from DynamoDB
Directs the file to the appropriate Application or Data Processing Pipeline
π Downstream & Monitoring
Event-driven processes ensure:
Ingested files are routed to the correct business workflow
CloudWatch provides logging/metrics
EventBridge handles orchestration and decoupled event distribution
β What This Architecture Accomplishes:
Secure, multi-protocol ingestion Supports SFTP, AS2, and direct S3 uploads
Malware detection Inline scanning via Sophos; infected files are quarantined
Automated routing Dynamic routing using Lambda + DynamoDB stored customer configs
Auditing and alerts Full observability via CloudWatch, alerts via a paging system, and ticket generation
Error handling with escalation Quarantine triggers Lambda β alert β ticket β human triage
Modular and scalable Event-driven, serverless architecture with clear decoupling of components
Customer-specific workflows Per-customer configurations drive downstream processing logic
π§© Key AWS Services Involved:
AWS Transfer Family (SFTP/AS2) β External ingestion
Amazon S3 β Storage: Landing, Quarantine, Clean
Lambda β Custom logic: Error handling, routing, downstream ingest
EventBridge β Event-based orchestration
Amazon CloudWatch β Monitoring & logs
DynamoDB β Stores customer-specific routing/configuration
Ticket System & Alerting System β Operational visibility & response β You may want to use something like ServiceNow and/or PagerDuty
π‘ Common Use Cases:
Pharmaceutical, healthcare, or B2B SaaS companies needing secure, automated ingestion of sensitive partner data
Enterprises handling many customer-specific workflows and needing observability and fail-safes