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Ixia Announces CloudLens Platform

Ixia announced CloudLens, a platform consisting of existing Ixia solutions and planned products that will integrate network visibility across private, public, and hybrid cloud environments.

Combining the power of Ixia's virtual network taps, packet and application flow filtering, Netflow with advanced application identification and geographic location, SSL decryption, and industry-leading deduplication capabilities, Ixia’s CloudLens platform provides service providers, cloud providers, and enterprises with unprecedented insight into network traffic in both physical and virtualized environments.

Hyperscale deployments are characterized by continuous configuration changes based on demand. While resource pooling and elastic scale are part of the cloud value proposition, the ability to monitor virtual traffic flows at the same scale has been limited. Ixia’s CloudLens platform will provide the framework for virtual taps and data filtering to meet the elastic demands of cloud customers in a multi-tenant self-serve model. Using products in the CloudLens platform, users will be able to deploy a highly scalable traffic monitoring system in a matter of minutes, not hours or days.

The CloudLens platform is expected to include products with powerful embedded automation capabilities that enable virtual taps and analysis tools to automatically shift to changes in demand or failures without the need for operator in-the-loop actions. Virtualizing the analysis tools directly in the customer’s cloud will also provide a significant bandwidth saving option to customers who do not want to tunnel their virtual data back to centralized physical analysis tools.

“The CloudLens platform is a game changer for cloud deployments,” said Zeus Kerravala of ZK Research. “The ability to deliver a network data collection system supporting security and monitoring across cloud environments is significant considering the differences in these environments. Ixia is creating a framework that does not rely on provider specific hypervisor environments.”

Today, the CloudLens platform supports OpenStack KVM, VMWare ESXi, and NSX, and is expected to support Microsoft Hyper-V later this quarter. The CloudLens platform offers multiple tapping products, and its tunneling functionality includes GRE, VLAN, and ERSPAN. In addition, the CloudLens platform will offer comprehensive flexibility for deployments in private, public, and hybrid clouds.

The CloudLens platform incorporates several previously released Ixia visibility solutions specifically designed for cloud environments, which form a strong foundation for its evolution. These include the Virtualization Tap solution for network access to cloud traffic, the Application and Threat Intelligence Processor (ATIP) for actionable insight into network activities, and the IxFlow App for Splunk Enterprise, which integrates ATIP with the Splunk Enterprise and provides the ability to visualize and analyze user, device, and application behaviors. The CloudLens platform also includes Ixia’s Net Tool Optimizer (NTO) software for seamless, single-pane-of-glass visibility into hybrid cloud deployments.

“The CloudLens platform is a true reflection of what Ixia is well recognized for in the industry, which is combining technology innovation with solutions that address real-world network challenges,” stated Dennis Cox, Chief Product Officer at Ixia. “We are committed to addressing those challenges, and will continue to innovate, leveraging our years of experience, to deliver unprecedented visibility across all cloud environments.”

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Ixia Announces CloudLens Platform

Ixia announced CloudLens, a platform consisting of existing Ixia solutions and planned products that will integrate network visibility across private, public, and hybrid cloud environments.

Combining the power of Ixia's virtual network taps, packet and application flow filtering, Netflow with advanced application identification and geographic location, SSL decryption, and industry-leading deduplication capabilities, Ixia’s CloudLens platform provides service providers, cloud providers, and enterprises with unprecedented insight into network traffic in both physical and virtualized environments.

Hyperscale deployments are characterized by continuous configuration changes based on demand. While resource pooling and elastic scale are part of the cloud value proposition, the ability to monitor virtual traffic flows at the same scale has been limited. Ixia’s CloudLens platform will provide the framework for virtual taps and data filtering to meet the elastic demands of cloud customers in a multi-tenant self-serve model. Using products in the CloudLens platform, users will be able to deploy a highly scalable traffic monitoring system in a matter of minutes, not hours or days.

The CloudLens platform is expected to include products with powerful embedded automation capabilities that enable virtual taps and analysis tools to automatically shift to changes in demand or failures without the need for operator in-the-loop actions. Virtualizing the analysis tools directly in the customer’s cloud will also provide a significant bandwidth saving option to customers who do not want to tunnel their virtual data back to centralized physical analysis tools.

“The CloudLens platform is a game changer for cloud deployments,” said Zeus Kerravala of ZK Research. “The ability to deliver a network data collection system supporting security and monitoring across cloud environments is significant considering the differences in these environments. Ixia is creating a framework that does not rely on provider specific hypervisor environments.”

Today, the CloudLens platform supports OpenStack KVM, VMWare ESXi, and NSX, and is expected to support Microsoft Hyper-V later this quarter. The CloudLens platform offers multiple tapping products, and its tunneling functionality includes GRE, VLAN, and ERSPAN. In addition, the CloudLens platform will offer comprehensive flexibility for deployments in private, public, and hybrid clouds.

The CloudLens platform incorporates several previously released Ixia visibility solutions specifically designed for cloud environments, which form a strong foundation for its evolution. These include the Virtualization Tap solution for network access to cloud traffic, the Application and Threat Intelligence Processor (ATIP) for actionable insight into network activities, and the IxFlow App for Splunk Enterprise, which integrates ATIP with the Splunk Enterprise and provides the ability to visualize and analyze user, device, and application behaviors. The CloudLens platform also includes Ixia’s Net Tool Optimizer (NTO) software for seamless, single-pane-of-glass visibility into hybrid cloud deployments.

“The CloudLens platform is a true reflection of what Ixia is well recognized for in the industry, which is combining technology innovation with solutions that address real-world network challenges,” stated Dennis Cox, Chief Product Officer at Ixia. “We are committed to addressing those challenges, and will continue to innovate, leveraging our years of experience, to deliver unprecedented visibility across all cloud environments.”

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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.