Overview

This project explores a background processing architecture for workloads that should not block user-facing requests. The design separates request handling from longer-running tasks, making the system more responsive and easier to recover when downstream services fail.

Key Features

• Job Queue Design: Structured job payloads, queue naming, worker ownership, and idempotency rules.
• Retry and Dead Letter Flow: Planned retry limits, backoff behavior, and dead-letter handling for failed jobs that need inspection.
• Observability: Added logs and status signals that make job lifecycle, processing time, and failure causes visible.
• Backpressure Control: Used rate limits and worker concurrency settings to protect databases and third-party integrations.

Technologies Used

• Node.js and TypeScript: For worker services and job handlers.
• Redis: For queue storage and short-lived processing state.
• PostgreSQL: For durable business records and job-related audit data.
• Docker: For running workers, queues, and databases consistently across environments.

Challenges and Learnings

The most important design concern was idempotency. Retried jobs must be safe to run more than once, so handlers need clear state checks, predictable side effects, and strong logging around external calls.

Outcome

The resulting workflow keeps user requests fast while still giving backend tasks a clear execution path, recovery model, and operational visibility.