Optimizing application performance for real-time business

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.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
Larry Fink: ‘We need to be tokenizing all assets’
The asset manager is currently exploring tokenizing long-term investment products like iShares, with an eye on non-financial assets down the road.
Examining how adaptive intelligence can create resilient trading ecosystems
Researchers from IBM and Wipro explore how multi-agent LLMs and multi-modal trading agents can be used to build trading ecosystems that perform better under stress.
S&P Global partners with IBM, Eventus launches Frank AI, Tradeweb expands algo execution abilities, and more
The Waters Cooler: Arcesium makes waves with Aquata Marketplace, NYSE Cloud flows into Blue Ocean Technologies, and more in this week’s news roundup.
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
As firms look to break down silos across business divisions to bolster operational resilience, the US broker is ditching emails, while utilizing chaos engineering and automating everything in sight.
Bank of America’s GenAI plan wants to avoid ‘sins of the past’
Waters Wrap: Anthony spoke with BofA’s head of platform and head of technology to discuss how the bank is exploring new forms of AI while reducing tech debt and growing interoperability.
TMX Group buys Verity, Deutsche Börse puts market data on-chain, and more
The Waters Cooler: The Texas Stock Exchange is SEC-approved, FalconX launches 24/7 access to OTC crypto options, and the CFTC needs a chair.
WatersTechnology latest edition
Check out our latest edition, plus more than 13 years of our best content.
24/7 trading roll-out risks pushback, industry veterans say
DRW’s Wilson warns of “mutiny” on non-stop rate options trading.