
Pico continues to advance the capabilities of its performance monitoring and analytics solution, Corvil Analytics, for electronic financial markets with the launch of a new flagship appliance, the Corvil 10000.
In today’s competitive, complex, and evolving trading environment maintaining performant trading infrastructure and robust monitoring systems for network transparency and data insights is paramount. The exponential increase in trading and data volumes, particularly since the onset of the Covid-19 pandemic, has accelerated this need for higher capacity infrastructure with up to four times faster initial uptake for 100Gbps deployments when compared to the previous transition to 40Gbps infrastructure1. A new generation of high-performance analytics and data capture is required as the uptake of 100Gbps ethernet increases.
The Corvil 10000 establishes a new high bar for sustained throughput, with Corvil’s real-time accuracy and granularity hallmarks, to support the ever-increasing trading and data volumes in financial markets.
Highlights include:
- Sustained 100Gbps capture of packets for a forensic record of all network activity with real-time indexing to enable search, filter, and export of the packets of interest, on a single 2U unit
- Accurate record including native hardware timestamping and support for third party timestamping by the leading packet brokers, also sustained at 100Gbps
- Network Analytics for 100 percent of packets and flows – this includes TCP analytics for all flows with no topping and gap detection for more than 400 feeds
- Publishing of all flow analytics in real-time into third party data repositories (e.g., ElasticSearch) with support for up to 8 million active flows
- Multiple storage configurations ranging from 92TB – 660TB are available offering capacity and price flexibility
Corvil Analytics is used by the world’s largest banks, exchanges, electronic market makers, quantitative hedge funds, data service providers and brokers and has a twenty plus year legacy in extracting and correlating technology and transaction performance intelligence from dynamic network environments. The Corvil 10000 continues this legacy delivering the ability to capture data at high speeds and high volumes while providing analytics and visibility to support the continuity of trading technology performance, execution and trading performance as well as quick and accurate responses to regulatory inquiries.
“The Corvil 10000 appliance marks a significant evolution that equips clients with the analytics throughput to take on current and future traffic rates. In context, this unit can capture the entire US equities market, and US futures market, including OPRA A and B feeds for gap detection on one single appliance,” said Roland Hamann, CTO & Head of APAC at Pico. “The 10000 is the fastest selling Corvil product we have ever launched, reflecting the need for insight-powered performance as 100Gbps network adoption continues at a rapid pace.”
Corvil is deployed on Pico’s resilient proprietary network, PicoNet, a globally comprehensive, low-latency and fully redundant network connecting major financial data centers with access to major public cloud providers. Pico recently introduced a 100Gbps pure optical backbone network in North America, and the Corvil 10000 is central to providing transparency into network performance and real-time telemetry for this higher capacity network.
Pico’s Corvil Analytics have exclusively used Intel’s processor architecture for more than twenty years with the new 10000 appliance leveraging Intel’s latest 3rd Gen Xeon Scalable processors. Pico collaborated closely with Intel’s microprocessor team to maximize this processor’s new features and capabilities.
The Corvil 10000 is available to order now with units ready for certification and performance testing.
On August 4, 2021, Pico announced that it had entered into a definitive agreement for a business combination with FTAC Athena Acquisition Corp., a special purpose acquisition company. Upon closing of the transaction, the combined company will operate as Pico. The transaction reflects a pro forma enterprise value for the combined company of approximately $1.4 billion. The business combination, which has been unanimously approved by the boards of directors of both Pico and FTAC Athena, is targeted to close in late 2021, subject to stockholder approvals and other customary closing conditions.
The Latest
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...