Achieving Microsecond Latencies with Java

Is Java suitable for low-latency programming where every microsecond counts? This deep-dive session proves that Java can compete with C/C++ in the high-performance arena when properly optimized.
Drawing from real-world experience building financial trading systems and high-frequency applications, we'll explore battle-tested techniques for achieving sub-10 microsecond response times in Java applications. You'll learn how the JVM actually works under the hood - from JIT compilation phases to memory layouts - and how to leverage this knowledge for maximum performance.
Key topics covered include:

*) Understanding and optimizing Java's memory model (heap, stack, metaspace) for minimal GC impact
*) Advanced heap management strategies: object pooling, canonical objects, lazy initialization, and using primitive collections
*) Thread synchronization techniques that avoid performance penalties: lock-free programming with CAS operations, avoiding false sharing, and thread affinity
*) Leveraging specialized libraries like LMAX Disruptor for inter-thread messaging, Chronicle Map for ultra-fast key-value storage, and Chronicle Queue for microsecond-latency message passing

Through practical examples and code demonstrations, you'll discover how to reduce object allocation, minimize synchronization overhead, and structure your applications for consistent low-latency performance.