Java is increasingly relevant to machine, deep, and reinforcement learning. Java developers need no longer be restricted to technical computing and statistical programming languages like Python and R, given the emergence of new Java algorithmic frameworks such as DeepLearning4J.
A lot has changed since Java and the JVM were created in the mid-1990s. The invention of Java solved an imp...
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How Java + the Best JVM in the Galaxy is a winning combination when developing financial exchange and broker-dealer functionality.
Brand-new, Fast Growing Stock Exchange MEMX Relies on the Azul Platform for Best Cost, Performance, and Support across Its Java Estate
The Power of Java Delivered at the Speed of C++, Unleashed for Capital Markets.
In the world of High-Frequency Trading, automated applications process hundreds of millions of market signals every day and send back thousands of orders on various exchanges around the globe....
In this webinar, Brett Vasconcellos, Azul customer and CTO of BIDS Trading, discusses with Gil Tene, CTO of Azul, how he optimized their Java infrastructure to achieve phenomenal results.
How rapidly changing levels of demand affect Java application system capacity and performance, specifically memory utilization, code performance, and speed of application warmup.
A lot has changed since Java and the JVM were created in the mid-1990s. The invention of Java solved an important problem that caused developers to spend enormous time coping with memory problems,...
Build and Deploy Java-based Low-Latency Applications Faster with Coral Blocks and Azul.
Microservices are becoming the de facto architectural approach to developing new applications. Breaking up monolithic application functionality into smaller services that can be linked together has ma
This webinar reviews data science and machine learning and how open source frameworks can be used to quickly develop powerful data science applications.