
Explore how Azul's runtimes enhance Apache Cassandra's performance, eliminating Java-related issues and delivering consistent response times for improved reliability and scalability.

Demystifying Wasm GC: Learn about its impact on language implementation, its key features, and why it matters for developers working with WebAssembly.

Explore key Java 12 features: Switch Expressions, new String methods, and Garbage Collection updates. Learn implementation in IntelliJ IDEA for enhanced development.

Learn key constraints and patterns for creating better Android apps, focusing on memory management, collections, and event handling.

Explore memory management challenges in Android native apps, focusing on Java-C++ object interactions, potential pitfalls, and best practices for avoiding memory corruption issues.

Explore ART runtime internals, focusing on Kotlin performance and app startup improvements. Learn about compiler, garbage collector, and key optimizations across Android versions.

Explore ART runtime improvements over Dalvik, focusing on garbage allocation and collection performance, and their impact on Android development practices.

Explore Android Runtime improvements for enhanced app performance, including faster debugging, profiling, installation, launch times, and optimized garbage collection.

Explore tools and techniques for optimizing Android app performance, including startup metrics, benchmark libraries, baseline profiles, and garbage collection improvements.

Explore Twitter's use of Graal to optimize Java performance, reduce CPU usage, and cut costs in their massive distributed system through improved machine code generation.

Explore integrating V8 JavaScript with Java, covering performance, memory management, and API adaptation. Insights on JVMV8, multi-threading, and Node.js integration included.

Explore ZGC, a low-latency garbage collector for terabyte-sized heaps. Learn its functionality, use cases, implementation, recent improvements, and future development plans.

Explore IBM's vision for multi-language runtimes, including JVM concerns, secret experiments, and innovations in method profiling, garbage collection, and JIT compilers.

Explore VM design choices for JVM languages, covering interpreters, optimization, garbage collection, multithreading, and more. Gain insights into JVM architecture and performance considerations.

Explore JVM optimizations and modern hardware features to enhance Java application performance, focusing on JIT compiler capabilities and Intel server platform advancements.

Learn to design and implement scalable lock-free algorithms in Java, utilizing multi-core CPUs and large memory systems. Explore atomic operations, performance optimization, and practical challenges in building efficient concurrent systems.

Explore OpenJ9, an open-source JVM, with IBM architects. Learn about its features, benefits, and implementation in this Q&A session covering memory management, GC policies, and supported platforms.

Explores advancements in Shenandoah garbage collection, focusing on partial collections of heap regions using various heuristics to optimize performance for different application types beyond traditional generational GC.

Explore Java garbage collection techniques, algorithms, and metrics. Learn to balance responsiveness, throughput, and memory usage for optimal application performance.

Explore JDK 9's hidden features: enhanced performance, optimized libraries, and advanced technologies for big data, cloud, and HPC applications.

Explore Thread Sanitizer for Java: implementation details, data race detection in libraries, and JVM insights. Learn about project goals and provide feedback on this emerging tool.