S3 System Developed to Predict and Prevent Network Failures

AUSTIN, TX -- (Marketwire) -- 06/01/10 -- S3 Matching Technologies has developed software that provides information to reduce the odds of any type of network device failure and issues real time "watches" and "warnings" to enable preventive measures. The system collects device and enterprise data to analyze, predict, and prioritize a likely failure. Networks are completely mapped by application and then alerts, which are prioritized and sorted by criticality of the application, are delivered as "watches" and "warnings."

"Businesses can no longer accept the nearly 9 hours of downtime a 99.9% service level assurance allows. An imminent degradation of redundancy needs to be addressed right away," said S3 CEO Jack Holt. "We live in the era of social media where customers can now complain loudly in front of the world. The impact of low performance or an outage for online stores or funds transfer networks go way beyond the loss of revenue."

S3's software, which is named Canary, runs calculations every two seconds examining trouble ticket systems, provisioning, logical scan data, in-service dates, port capacities, manufacturer updates, and numerous other factors to generate a Calculated Life Expectancy Report (CLER) for every device on a network. A "watch" is issued if conditions exist for the failure of a device configuration and a "warning" is prompted when an actual failure occurs on a configuration somewhere within S3's managed cloud. Warnings are sent to users of all devices similar to the one that has failed. The devices and the overall network are given a score that is easily accessed through a portal or wireless phone that shows a simple, visual gauge for remaining life expectancy of each device scanned. Replacements and repairs can be prioritized based upon the criticality of an application to the business.

"There is no tolerance for network failures in the financial services industry and the markets," said Rod Taylor, Vice President of Financial Services for S3. "But there are still outages that harm critical data collection and analyses for exchanges, market centers, and broker-dealers. Reducing that probability has great value and we've shown we can improve network uptimes about 80 percent."

Because S3 manages logical models for networks that span the globe, data collected elsewhere can be used for analysis and issuance of warnings. This is even done against similar devices on other networks without sharing or revealing proprietary business information. The S3 Managed Cloud allows Canary to spot a failure on one network and warn another that might have a similar issue because of a comparable device configuration.

About S3 -- (www.S3.com) is an Austin, Texas based company focused on providing business crisis solutions for network outsourcers, financial services, and healthcare industries.

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