Case Study · backend
High-Throughput Message Caching System
Ultra-fast in-memory caching and queuing service optimizing high-throughput message persistence and instant retrieval.
Track
backend
Technologies
Node.js, In-Memory Cache, Redis, Concurrency
Primary Impact
Sub-millisecond read/write latency
RepositoryView on GitHub ↗
Context & Challenge
Direct database writes during traffic spikes degrade response times and threaten downstream service availability.
Process & Implementation
Built a low-latency caching layer featuring Least Recently Used (LRU) memory eviction, sliding window TTL expiration, and atomic lock-free reads.
Verified Outcomes & Key Facts
- Sub-millisecond read/write latency
- LRU eviction with TTL expiration
- Thread-safe atomic operations
- High concurrency throughput