iTrinegy launched the NE-ONE Flex Network Profiler, the latest addition to its line of performance measurement solutions.
The NE-ONE Flex Network Profiler operates as a virtual appliance (essentially an NFV version of NE-ONE Network Profiler), allowing full network profiling in a virtualized world, in addition to eliminating many of the installation, configuration and maintenance costs of a traditional hardware/software solution.
The NE-ONE Flex Virtual Network Profiler enables you to quickly understand who is using your network, what it is being used for and how long operations take. Profiler's network analytics can also be used together with iTrinegy’s NE-ONE Flex Virtual Network Emulator allowing you to recreate test networks based on your real-world experiences in the virtual world.
Designed specifically for organizations operating in a virtual environment, where installing and configuring any physical appliance is not an option, the NE-ONE Flex Network Profiler offers a new way to deploy its solution.
Certified as VMWare Ready, NE-ONE Flex Network Profiler offers all the power and pedigree of the iTrinegy Networked Application Performance Measurement family.
Features include:
- Easy-to-use web interface purposely designed for non-network specialists
- Ability to quickly understand who, what and how much of your network is utilized
- Predefined dashboards and reports
- Rapid installation and configuration - usually less than 15 minutes
- Ability to create network profiles for use in NE-ONE Flex Virtual Network Emulator.
For a limited period of time, iTrinegy is offering customers the chance to try NE-ONE Flex Network Profiler before they buy it.
Frank Puranik, Product Director at iTrinegy commented: “With most applications now being delivered over cloud, Internet and mobile networks, the network has become ubiquitous. Therefore it really is imperative that you have fully visibility of what is running over it, and that’s just as true in the virtual world. Our new NE-ONE Flex Network Profiler provides you with the means to quickly establish a true understanding of what is happening to the applications that are travelling over the network, which may be partly or completely virtualized. However we can now present this information in a way that doesn’t overwhelm you or requires you to be a network expert to interpret it correctly."
“Virtualization is providing an increasing number of organizations with an attractive, cost-efficient option for delivering, supporting and testing business services. We’re very pleased to deliver the power and flexibility of our NE-ONE Flex Network Profiler solution as a virtual appliance which also perfectly complements our NE-ONE Flex Virtual Network Emulator that we released earlier this year.”
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
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.