An event-driven image processing pipeline leveraging Spring Boot and AWS Lambda. The architecture decouples high-throughput ingestion from CPU-intensive processing using SNS/SQS buffering. It features a REST API for uploads, asynchronous Lambda functions for image transformations (resizing, watermarking), and uses S3 for storage and DynamoDB for metadata. The system includes end-to-end distributed tracing with OpenTelemetry and Grafana for observability, allowing visibility across microservices. Infrastructure is managed via Terraform and supports local development with LocalStack.

Event-driven image processing pipeline built with Spring Boot and AWS Lambda, featuring distributed tracing.

Projects tagged as "s3"