Ring Cache for High-Frequency Trading in Go: Microsecond-Level Data Access
a day ago
- #low-latency
- #go-optimization
- #high-frequency-trading
- Ring cache provides O(1) lookup with predictable latency for recent data
- Lock-free implementation achieves sub-microsecond access times
- Memory pre-allocation eliminates GC pauses in hot paths
- Cache line alignment is critical for concurrent access patterns
- Ring cache trades memory for deterministic performance
- Power-of-2 sizing enables fast modulo via bitwise AND
- Cache line padding prevents false sharing (5x speedup)
- Optimistic versioning enables lock-free concurrency
- Hybrid approach combines ring cache (fast path) with sync.Map (fallback)
- xxHash recommended for deterministic, fast hashing (9ns/op)
- Monitoring includes hit rate, collisions, and latency histograms
- Not suitable for unbounded data or exact lookup requirements
- Best for mixed read/write workloads with large keyspace
- Hybrid approach provides sub-microsecond latency with fallback reliability