Asynchronous Event-Driven Messaging Pipeline Built a

Asynchronous Event-Driven Messaging Pipeline

Built a high-throughput event-driven system to handle resource-heavy tasks like transactional emails and notifications without slowing down API requests.

Instead of processing these tasks directly inside the API, I designed a background job pipeline where requests are pushed to RabbitMQ and processed asynchronously by dedicated workers. This helped keep the API responsive while allowing the system to handle higher workloads reliably.

RabbitMQ: Designed exchanges, queues, and routing for reliable message delivery and background job processing.

Node.js & Fastify: Built lightweight, high-performance worker services for consuming and processing jobs.

Redis: Used for caching and job deduplication to avoid unnecessary processing.

PostgreSQL: Managed persistent application and job-related data.

Nodemailer: Automated transactional email delivery through background workers.

Docker: Containerized the services for consistent development and deployment.

Monitoring: Added queue health monitoring to track worker and messaging activity.

Tech Stack: Fastify | Node.js | RabbitMQ | Redis | PostgreSQL | Docker | Nodemailer