Optimizing application performance for real-time business
![scott-sellers-azul-systems-2013-headshot scott-sellers-azul-systems-2013-headshot](/sites/default/files/styles/landscape_750_463/public/import/IMG/281/255281/scott-sellers-azul-systems-2013-headshot-580x358.jpg.webp?itok=WVhsb2hX)
In the era of real-time business, organizations in the financial services world require consistent, predictable application performance to stay competitive. Azul Systems delivers by eliminating the pauses and latency spikes inherent in Java-based applications that can adversely impact business.
Tiny fractions of a second matter greatly in today’s financial markets. When dealing with electronic speeds, the consistency of response times is critical to the success of a business. Any delay in processing a trade, for example, can mean the loss of millions of dollars to the competition. With so much at stake, financial markets require their Java-based trading platforms, risk-analysis engines and market-making applications to perform in microseconds — consistently and predictably. In today’s real-time business world, this is the financial services industry standard.
But consistent and predictable performance in Java-based electronic financial market environments is hardly, well, consistent and predictable. Because of Java’s inability to adjust in real time as transaction volumes or required memory sizes fluctuate, pauses in application performance occur and response times are dramatically impacted. Therefore, in order to stay competitive and ensure business success, financial markets must embrace technology that eliminates these profit-stealing issues, eliminate those pauses and latency spikes, and perform as expected.
Designed specifically for ultra-low latency DMA, algo trading and order matching, this technology is driving the new performance standard for today’s high-velocity, Java-based electronic markets that demand predictable and reliable real-time behavior. Armed with a new approach to optimizing application performance, banks, hedge funds, and proprietary traders can achieve success and come out on top in an increasingly competitive market.
Scott Sellers is the CEO and co-founder of Azul Systems, a company focussed on enabling real-time business by addressing Java and JVM performance and related issues. Azul’s Zing, the leading JVM for the real-time business, brings predictable high-performance responsiveness, dramatically improves service delivery, increases operational and capital efficiency, and unlocks innovation.
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