Speed is money. One of the most pressing issues impacting financial firms is how to increase speed and reduce latency when accessing market data and trade execution venues. To quickly adapt to changing market conditions, financial firms must manage ever increasing volumes of data and respond to transaction speeds counted in milliseconds. Price volatility, trading volumes and market velocity coupled with expanding use of derivatives, automated trading, and increased market feeds makes it imperative that firms establish a robust, real-time network. Even more complex are the applications running in these environments.

The Benefits of Packet-Flow Analysis
High level monitoring tools such as NetFlow or SNMP are severely limited when working with financial applications. All the important data is hidden. Even specialized financial tracking tools can only go so far when troubleshooting day-to-day issues. To really get to the crux of a problem, one needs to properly analyze the conversation flow. The only way to truly get this level of detail is to start with the packets traversing the network. But packets are far too granular. Something (or somebody) needs to organize the packets into practical information such as: What stocks were traded? How fast were they acknowledged? Did they complete? Was the order only partially filled? Did microbursting negatively affect performance? Were the transactions received in the proper sequence? These are intelligent questions that require intelligent answers. Sniffer® Financial Intelligence is uniquely positioned to provide these answers and more.

How it Works 
Sniffer Financial Intelligence leverages the vast packet storage capabilities of nGenius InfiniStream. These infrastructure devices are strategically placed in the network to collect, store, and index terabytes of packets quickly and efficiently. In addition to statistics being continually forwarded to nGenius Performance Manager, these packets can be utilized for retrospective analysis. When issues arise, complex algorithms automatically stitch the packets together into financial records that are easily interpreted by people that understand trading and market data.