
Ixia has further extended the CloudLens Visibility Platform to include support for Microsoft Azure, Google Cloud Platform, IBM Bluemix, and Alibaba Cloud, in addition to the existing support for Amazon Web Services (AWS), and for both Windows and Linux.
As a result, Ixia CloudLens now supports all leading cloud platforms with multiple operating systems.
Ixia CloudLens provides comprehensive visibility across cloud environments — public, private, and hybrid clouds, and is delivered as a pure Software-as-a-Service (SaaS) solution. CloudLens was designed from the ground up to retain the benefits of the cloud – elastic scale, flexibility, and agility, while enabling security, analytics, and forensics tools to acquire the needed data, whether the tool is in a private data center or public cloud.
“Hybrid and multi-cloud environments create challenges for security teams who need to manage multiple segments, and no longer have the packet visibility to secure their network,” stated Dan Thormodsgaard, CTO and Co-Founder at Fishtech Group. “Ixia CloudLens solves this challenge with a cloud-agnostic platform that supports AWS, Azure, IBM, and more, and is capable of supporting Windows and Linux as well. This flexibility enables CloudLens to provide access to packet level data coupled with a simple way to centrally manage across platforms. As a result of the Ixia and Fishtech Group partnership, CloudLens delivers access to packet data, and tech partners such as ProtectWise and Perch provide automated threat detection, enabling organizations to secure their clouds.”
CloudLens Public enables customers to:
- Easily deploy in, and manage, multiple cloud environments whether public, private, or hybrid
- Use any operating system, Windows or Linux, on any platform
- Help ensure performance of tools and applications running in public cloud environments, while maintaining rapid elastic scale
- Optimize security and provide an enhanced level of insight
CloudLens has a micro-services based, serverless design, which enables it to seamlessly function in any public cloud deployment. Supporting rapid elastic scale and self-serve installations for tenants, it eliminates the need for cloud provider involvement. CloudLens operates without network constraints and does not rely on hypervisor- or provider-specific features in public or private clouds for both virtualized and physical networks.
Ixia works with leading security, APM, and NPM tool providers, including open source providers, to pre-validate CloudLens interoperability. This ensures a seamless experience for CloudLens users to ensure complete visibility into cloud environments: Technology partners include: AppNeta, The Bro Project, CA Technologies, Dynatrace, Eastwind Networks, FireEye, Jask, LogRhythm, NetFort Technologies, NTOP, ProtectWise, Perch Security, RSA Security, Savvius, Sinefa, Suricata, Wireshark, and VoIPmonitor.
“Ixia understands that IT decision makers need to implement and manage viable hybrid networks, and operate in a business environment where application performance is essential to generating revenue and maintaining customer relationships,” states Bethany Mayer, President of Ixia. “That’s why we developed CloudLens – a single cloud native visibility platform that eliminates blind spots throughout the entire spectrum from cloud to physical environment, enabling our customers to improve the effectiveness of monitoring tools, while delivering better intelligence to reduce mission-critical application downtime.”
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 ...