Vaibhav B. Masaye
Vaibhav B. Masaye
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05/Backend project/2024

Secure File Upload Service

Authenticated uploads + async processing pipeline

NestJS microservice that handles secure file uploads with JWT auth, stores metadata in Postgres, and offloads processing to BullMQ workers using Redis.

System focus

Follow the architecture, engineering decisions, data flow and operational workflow behind the service.

NestJSTypeScriptPostgreSQLTypeORMRedisBullMQJWT
RoleBackend Developer
Year2024
S

Preview coming soon

Overview

What shipped

Secure File Upload Service is a production-ready backend microservice designed for high-throughput, authenticated file ingestion. It separates upload handling from heavy processing using a queue-based architecture to keep API latency low and improve reliability under load.

Traditional APIs often process files inside the request/response lifecycle, which can block threads, increase latency, and make failures harder to recover from. This service uses a producer/consumer model: the API validates the request, stores metadata, and queues a background job, while workers process files asynchronously and update status.

Security & Access Control

  • JWT authentication to ensure only authorized users can upload and access metadata
  • Request validation for multipart uploads and enforced file size limits
  • Rate limiting/guard patterns to reduce abuse risk in public-facing environments

Data & State Management

  • PostgreSQL persists file metadata and processing state (e.g., uploaded → processed)
  • TypeORM provides typed entities and a structured approach to migrations/data access
  • Status-driven workflow makes the pipeline observable and easy to debug

Async Processing Pipeline

  • BullMQ (Redis-backed) queues heavy processing so uploads return fast
  • Workers consume jobs out-of-band and update processing results back into Postgres
  • Queue-based design supports retries and horizontal scaling as load grows

Why This Matters

  • Keeps the API responsive under heavy uploads by avoiding main-thread blocking
  • Improves reliability by decoupling ingestion from processing and supporting job retries
  • Scales cleanly: add more workers without changing the upload API surface

Upload fast, process safely, and keep the API responsive—no matter how heavy the file workload gets.

Project principle