Real-Time Barometer of Your Trading Business
Performance deterioration has a direct impact on clients, leading to lower fill rates, lost revenues and damaged reputation.
Corvil tracks and analyzes every client execution message, pinpointing performance issues as they happen. Drill-down forensics provide answers fast, optimizing client execution and minimizing risk to the business.
"We have seen increased productivity from using this solution. It provides us with a holistic overview of the client order flow through client connectivity to our internal components and risk checks in an exchange. This is not something that we can easily provide ourselves."
– ELECTRONIC TRADING APP MANAGEMENT
Recorded with UTC synchronized, nanosecond time-stamps, Corvil provides a highly granular and actionable audit trail of all activity, accurately time sequenced to understand cause and effect.
See infrastructure latency in true real-time with flexible and intuitive dashboards. Explore and interact with the data. Quickly drill into events to investigate root cause, or select longer time periods to spot trends, performance patterns & anomalies.
Complex Latency Correlations
Corvil’s correlation engine reports the per-message latency across each infrastructure hop. It takes care of multiple protocols and messaging changes that occur across devices such as Gateways and SORs.
Using Microburst rather than average measurements, Corvil provides a detailed understanding of transient and dynamic loads, enabling infrastructure components to be correctly scaled to meet performance requirements.
Multi-Hop Transaction Tracking
Corvil’s multi-hop analysis tracks transactions across network and application hops, to execution venues and back again. It provides an intuitive and graphical representation of the latency over the entire journey.
Analyzing transactions in real-time reveals performance anomalies as they happen. When latency spikes occur, Corvil immediately notifies operations teams and provides the crucial data to understand and resolve the event.