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Corvil Extends Solution for High Performance Enterprise Monitoring

Corvil announced the general availability of its new Corvil Enterprise Monitoring System.

The new solution is based on its flagship CorvilNet platform and delivers the same powerful combination of high speed data capture, distributed transaction-application-network monitoring, and real-time business analysis.

New enterprise application transaction monitoring and an enterprise-reporting module are now included to support a broad range enterprise IT activities.

Key Benefits of the Enterprise Monitoring System:

- Visibility: Corvil has transformed how enterprise IT can monitor and deliver low latency applications and high performance networks, with integrated visibility between applications, transactions, and network performance, on one platform.

- High Velocity Data: Corvil captures all IT data “on the wire” and uses various stages of data transformation, structuring and analysis to turn this into valuable analytics that fuel business performance; for example in the rollout of a new high performance WAN, or data center.

- Expertise: Corvil’s real-time, deep analysis capabilities and insight provide IT with the expertise necessary to successfully deliver IT systems and services to the business.

Donal O’Sullivan, VP of Product Management at Corvil says, “The enterprise application environment is starting to look increasingly like what we deal with in the world of electronic trading – faster networks, more data, lower latency. And the link between IT performance and successful business outcomes is just as strong. If you couple this with the desire in 2013 to consolidate IT systems, it’s quite natural that there is a strong demand for the type of integrated monitoring system that Corvil provides and has proven so successful in financial markets.”

“In 2013 businesses must grow. Achieving a strong alignment of IT and business is a challenge but key to delivering growth for global enterprises. Corvil’s new Enterprise Monitoring Solution is architected in a manner that fosters greater collaboration and understanding between IT and the business as they look to leverage new applications, technologies and data to achieve this”, added O’Sullivan.

The Enterprise Monitoring System is available immediately.

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Corvil Extends Solution for High Performance Enterprise Monitoring

Corvil announced the general availability of its new Corvil Enterprise Monitoring System.

The new solution is based on its flagship CorvilNet platform and delivers the same powerful combination of high speed data capture, distributed transaction-application-network monitoring, and real-time business analysis.

New enterprise application transaction monitoring and an enterprise-reporting module are now included to support a broad range enterprise IT activities.

Key Benefits of the Enterprise Monitoring System:

- Visibility: Corvil has transformed how enterprise IT can monitor and deliver low latency applications and high performance networks, with integrated visibility between applications, transactions, and network performance, on one platform.

- High Velocity Data: Corvil captures all IT data “on the wire” and uses various stages of data transformation, structuring and analysis to turn this into valuable analytics that fuel business performance; for example in the rollout of a new high performance WAN, or data center.

- Expertise: Corvil’s real-time, deep analysis capabilities and insight provide IT with the expertise necessary to successfully deliver IT systems and services to the business.

Donal O’Sullivan, VP of Product Management at Corvil says, “The enterprise application environment is starting to look increasingly like what we deal with in the world of electronic trading – faster networks, more data, lower latency. And the link between IT performance and successful business outcomes is just as strong. If you couple this with the desire in 2013 to consolidate IT systems, it’s quite natural that there is a strong demand for the type of integrated monitoring system that Corvil provides and has proven so successful in financial markets.”

“In 2013 businesses must grow. Achieving a strong alignment of IT and business is a challenge but key to delivering growth for global enterprises. Corvil’s new Enterprise Monitoring Solution is architected in a manner that fosters greater collaboration and understanding between IT and the business as they look to leverage new applications, technologies and data to achieve this”, added O’Sullivan.

The Enterprise Monitoring System is available immediately.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...