Skip to main content

ITRS Geneos Adds Advanced Monitoring Capabilities for Bloomberg’s Real-Time Market Data Feed

ITRS Group Ltd announced the launch of an interface that provides advanced monitoring for Bloomberg’s real-time market data feed, called B-PIPE.

Bloomberg B-PIPE is a normalized and consolidated real-time market data feed for the enterprise. It provides complete coverage of all asset types from a wide variety of sources and applications from Bloomberg and other data providers.

The Geneos plug-in for Bloomberg B-PIPE monitors the status of market data feeds and allows B-PIPE users to set alerts and closely monitor performance. By collecting B-PIPE data via ITRS’ Geneos, which can display up to 30 B-PIPE service instances on the same screen, a financial institution can see the busiest appliance at any time of the day. For example, a bank’s operational team will be able to see tick messages sent and received by an appliance and track for any missing data.

“ITRS is an important Bloomberg Enterprise Solutions partner and this integration is a key component of our overall enterprise real-time strategy,” said Tony McManus, head of real-time market data products for Bloomberg. “We are investing in programs that enable developers to connect to Bloomberg to ensure efficiency and interoperability across our clients’ enterprise systems. The ITRS Geneos application will provide support to our B-PIPE customers looking to better monitor market data feeds and application metrics.”

Ian Salmon, Business Development at ITRS, said: “In a complex trading environment, having a full view of performance data is vital. Users can now ensure service levels and compliance by analysing and visualising Bloomberg B-Pipe performance data in the Geneos framework, alongside business critical trading applications. Bloomberg is a key influencer in the market and an important addition to our product suite.”

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

ITRS Geneos Adds Advanced Monitoring Capabilities for Bloomberg’s Real-Time Market Data Feed

ITRS Group Ltd announced the launch of an interface that provides advanced monitoring for Bloomberg’s real-time market data feed, called B-PIPE.

Bloomberg B-PIPE is a normalized and consolidated real-time market data feed for the enterprise. It provides complete coverage of all asset types from a wide variety of sources and applications from Bloomberg and other data providers.

The Geneos plug-in for Bloomberg B-PIPE monitors the status of market data feeds and allows B-PIPE users to set alerts and closely monitor performance. By collecting B-PIPE data via ITRS’ Geneos, which can display up to 30 B-PIPE service instances on the same screen, a financial institution can see the busiest appliance at any time of the day. For example, a bank’s operational team will be able to see tick messages sent and received by an appliance and track for any missing data.

“ITRS is an important Bloomberg Enterprise Solutions partner and this integration is a key component of our overall enterprise real-time strategy,” said Tony McManus, head of real-time market data products for Bloomberg. “We are investing in programs that enable developers to connect to Bloomberg to ensure efficiency and interoperability across our clients’ enterprise systems. The ITRS Geneos application will provide support to our B-PIPE customers looking to better monitor market data feeds and application metrics.”

Ian Salmon, Business Development at ITRS, said: “In a complex trading environment, having a full view of performance data is vital. Users can now ensure service levels and compliance by analysing and visualising Bloomberg B-Pipe performance data in the Geneos framework, alongside business critical trading applications. Bloomberg is a key influencer in the market and an important addition to our product suite.”

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...