Achieving Microsecond Latencies with Java by Stefan Angelov

Achieving microsecond latency in Java requires a fundamental shift away from standard object-oriented practices toward memory-efficient, hardware-aware programming. High-performance systems, such as crypto exchanges, must minimize garbage collection by utilizing off-heap memory and object pooling to avoid unpredictable latency spikes. Single-threaded architectures, combined with data sharding, eliminate lock contention and keep data within CPU caches, significantly improving throughput. Developers should leverage specialized libraries like LMAX Disruptor for lock-free messaging, Chronicle Queue for persistent storage, and Agrona for efficient data structures. Furthermore, optimizing performance involves techniques like thread affinity to pin processes to specific CPU cores and writing code that facilitates branch prediction. These strategies allow Java to handle millions of operations per second, provided developers prioritize mechanical sympathy and avoid unnecessary abstractions that trigger deoptimization or excessive memory allocation.