FSMLabs, a premier provider of enterprise real-time and timekeeping technology, and Spectracom, a company of the Orolia Group (NYSE Alternext Paris – FR0010501015 – ALORO) and a global provider of time and frequency systems to support vital communications networks, today announced that Spectracom has qualified FSMLabs TimeKeeper™ to run with the Spectracom family of Network Time Protocol (NTP) NetClock® time servers. The joint solution combines Spectracom NetClock hardware and FSMLabs TimeKeeper software and helps financial services and other regulated industries meet requirements for accurate time-stamping and data logging with high transaction volumes.
Spectracom NetClock network time servers deliver split-second timing to mission-critical systems, providing high security, ease of management, and reliability. NetClock leverages GPS (Global Positioning System) and other references to synchronize time and frequency. FSMLabs TimeKeeper is an end-to-end, pure software solution that supports synchronization of system clocks to within 10 microseconds accuracy over standard networks. TimeKeeper helps capital markets and other regulated industries deploy critical applications across clusters, among data centers and over wide-area networks; adding credibility to trade communications among inter-parties and providing a solid foundation for latency measurement.
“FSMLabs TimeKeeper provides the perfect software complement to our time server hardware,” commented John Fischer, Chief Technology Officer, Spectracom. “We have already successfully deployed our combined software/hardware solution with multiple financial services customers and could easily provide similar solutions to any company in any industry, with requirements for ultra low-latency.”
“In Wall Street implementations, Spectracom has brought a high level of technology expertise to our customers’ projects,” noted Victor Yodaiken, CEO, FSMLabs. “TimeKeeper simply plugs into Spectracom NetClock time servers, enabling end-to-end precision time stamping of globally distributed transactions and real-time data for event processing engines.”