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A-Team Insight Blogs

Velocimetrics Adds Context Navigation Panel to VMX EndToEnd Monitoring and Analytics

Velocimetrics, a provider of business flow tracking and real-time, in-stream performance analytics, has made enhancements to its VMX EndToEnd product. The company released VMX v9.0 earlier this year, with the new v9.2 building on this offering and making powerful data lineage more accessible and easier to use.

Among additions to v9.2 is a Context Navigation Panel that allows users to move from low-level, network packet-capture, to high-level statistics, individual business items, and everything in between. The solution has context-sensitive links that relate directly to the data selection made by a user, and will take the user to item selections, network packets, related charts and more.

Steve Colwill, Velocimetrics CEO, says: “Users can quickly move from a high-level, bird’s eye view of the business, to look at data at a very granular level and across different types of information, such as trading patterns, performance, client service KPIs and technical infrastructure.”

While previous versions of VMX EndToEnd collected huge volumes of data in real time, creating time-series recordings and analytics, v9.2 is more powerful in that every measure can be recorded and charted using Velocimetrics Ubiquitous Time-series Recording (UTR). Users can store as much history as they want, and they can specify the granularity of new historical data being stored. The advantage of this is that users don’t need to know in advance what item of information they will want, giving them flexibility and allowing them to generate thousands of analytical measures in real time.

An example of a use case for the Context Navigation Panel in trading latency is a spike in end-to-end pricing latency. The solution allows users to identify the cause, by going from a chart of the spike to individual prices as they move across the system and identify the specific hop, out of say, five, where the problem occurred. Users can also look at packet captures either side of the hop, examine commonalities, and identify the application process or network segment causing the problem.

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