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 support Java workflows across all sectors and applications in Financial Services, including the Buy-Side, Sell-Side, Regulators, Exchanges, Insurers and Central Banks.
How rapidly changing levels of demand affect Java application system capacity and performance, specifically memory utilization, code performance, and speed of application warmup.
What our clients think about Azul.
This webinar reviews data science and machine learning and how open source frameworks can be used to quickly develop powerful data science applications.
Build and deploy Java-based low-latency applications faster with CoralBlocks and Azul Systems.
Azul Systems closes strategic growth equity investment with Vitruvian Partners.
Azul Zing provides certainty of execution, guarantees throughput, and ensures predictable behavior in trading and data-intensive capital markets applications.
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.
Azul Zing: the best JVM for Java workloads
GridGain and Azul Systems collaborate to enable Java for very low-latency use cases at massive scale.
The necessity of timely Java security updates.
Learn more about how Azul C4 differentiates itself from other garbage collectors in the market.
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