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Ixia Fabric Controller (IFC) Centralized Manager Introduced

Keysight Technologies announced that Ixia, a Keysight Business, has launched a new software solution for centralized management of a wide range of wired, wireless, and/or virtual visibility solutions.

The new Ixia Fabric Controller (IFC) Centralized Manager supports network packet brokers, taps, bypass switches, and cloud visibility solutions via a single graphical user interface (GUI).

“Serious gaps in device management can lead to performance issues, visibility blind spots and security vulnerabilities,” stated Recep Ozdag, VP of Product Management for Keysight’s Ixia Solutions Group. “Professionals responsible for managing enterprise networks need a resource that can provide a comprehensive view of their monitoring devices at any time, despite location. Ixia’s new IFC Centralized Manager delivers the centralized network platform needed to address those gaps, improve performance and reduce blind spots.”

IFC Centralized Manager eases configuration and monitoring of taps, virtual taps, data monitoring switches, and network packet brokers, including third-party devices, through a single pane of glass. IFC Centralized Manager includes:

- a dynamic network topology map that shows the “up” or “down” status of supported devices and custom status providing visualization of monitoring resources for improved security, performance, capacity planning and compliance

- real-time data acquisition from auto-discovered devices that is archived and presented in rich graphical formats for snapshot viewing and historical trend analysis

- an enhanced high availability feature that supports primary and secondary units (in physical, virtual or combination) in sync with one floating IP address, allowing instant take-over when the master fails

- automated task execution across devices for comprehensive configuration and fault management to simplify script and policy execution and software upgrades

- security and user management features for role-based access, user authentication and external authentication based on global policies

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Ixia Fabric Controller (IFC) Centralized Manager Introduced

Keysight Technologies announced that Ixia, a Keysight Business, has launched a new software solution for centralized management of a wide range of wired, wireless, and/or virtual visibility solutions.

The new Ixia Fabric Controller (IFC) Centralized Manager supports network packet brokers, taps, bypass switches, and cloud visibility solutions via a single graphical user interface (GUI).

“Serious gaps in device management can lead to performance issues, visibility blind spots and security vulnerabilities,” stated Recep Ozdag, VP of Product Management for Keysight’s Ixia Solutions Group. “Professionals responsible for managing enterprise networks need a resource that can provide a comprehensive view of their monitoring devices at any time, despite location. Ixia’s new IFC Centralized Manager delivers the centralized network platform needed to address those gaps, improve performance and reduce blind spots.”

IFC Centralized Manager eases configuration and monitoring of taps, virtual taps, data monitoring switches, and network packet brokers, including third-party devices, through a single pane of glass. IFC Centralized Manager includes:

- a dynamic network topology map that shows the “up” or “down” status of supported devices and custom status providing visualization of monitoring resources for improved security, performance, capacity planning and compliance

- real-time data acquisition from auto-discovered devices that is archived and presented in rich graphical formats for snapshot viewing and historical trend analysis

- an enhanced high availability feature that supports primary and secondary units (in physical, virtual or combination) in sync with one floating IP address, allowing instant take-over when the master fails

- automated task execution across devices for comprehensive configuration and fault management to simplify script and policy execution and software upgrades

- security and user management features for role-based access, user authentication and external authentication based on global policies

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...