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Case Study · backend

Distributed Job Scheduler & Queue Engine

High-throughput distributed task queue and worker coordination engine designed for fault-tolerant asynchronous job scheduling.

Track

backend

Technologies

TypeScript, Node.js, Redis, Docker, Worker Queues

Primary Impact

Fault-tolerant worker orchestration

RepositoryView on GitHub ↗

Context & Challenge

Large backend architectures require reliable decoupled execution of heavy asynchronous jobs with guaranteed delivery and zero duplicate processing.

Process & Implementation

Engineered a distributed master-worker scheduling engine utilizing Redis pub/sub and atomic keys; implemented worker heartbeat detection, exponential backoff retries, and task deduplication queues.

Verified Outcomes & Key Facts

  • Fault-tolerant worker orchestration
  • Heartbeat health monitoring
  • Exponential backoff job retries
  • Sub-millisecond queue dispatching