This white paper highlights ways in which Zing, a better JVM, can reduce operating costs and bring incremental value to your business.
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Azul Platform Prime for Financial Exchanges
How Java + the Best JVM in the Galaxy is a winning combination when developing financial exchange and broker-dealer functionality.
MEMX Stock Exchange
Brand-new, Fast Growing Stock Exchange MEMX Relies on the Azul Platform for Best Cost, Performance, and Support across Its Java Estate
Benchmarking Renaissance on OpenJDK and Azul Platform Prime
The Renaissance Suite is an increasingly popular Java benchmark and one of the many benchmarks that Azul uses internally to measure performance of Azul Platform Prime from release to release and...
All 10 of the World's Top 10 Trading Companies and Six of the Top 10 US Financial Companies have Switched from Oracle to Azul Java.
1:00:03In 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.
Azul Platform Prime Information Sheet
Exploring Azul Platform Prime? Benefits include infrastructure savings, delivered by better performing, more consistent Java that starts fast, runs faster and stays fast.
Why choose Java for High-Frequency Trading application: Voice of Customer
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....
Capitalize On The Cloud Without Overspending
IT leaders face various and sometimes contradictory priorities: increase agility, drive digital transformation, prepare for remote work environment – all in the face of budget uncertainty
Cloud Native Compilation: Bringing JVMs into the Modern Cloud World
Across the industry, companies are trying to rein in runaway cloud costs by squeezing more carrying capacity out of the instances they run in the cloud. Especially in the Java space, developers...
53:09How rapidly changing levels of demand affect Java application system capacity and performance, specifically memory utilization, code performance, and speed of application warmup.
Heirloom Computing
Heirloom Computing Leverages Azul Prime to Replatform Mainframe Workloads as Cloud Native Java Applications.
49:17This webinar reviews data science and machine learning and how open source frameworks can be used to quickly develop powerful data science applications.
Why Low Latency is Critical and its effect on Application Performance
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,...
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.
GridGain and Azul Systems collaborate to enable Java for very low-latency use cases at massive scale.
