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Gigamon Starts Trials for Public Cloud Visibility Solution

Gigamon started trials for a solution that allows enterprises to see information traversing public clouds.

Gigamon’s visibility solutions for public cloud kicks off with field trials of its Amazon Web Services (AWS) Elastic Compute Cloud (EC2) offering.

With Gigamon’s visibility solution, enterprises gain flexibility to design and provision the public cloud monitoring infrastructure that meets their business needs with the freedom to choose the most appropriate public cloud provider to address their specific requirements.

As part of the initial field trials, AWS users gain immediate benefit from the Gigamon Visibility Fabric by:

- Reducing network complexity – by centralizing how traffic is forwarded to network and security operations centers (NoCs, SoCs), regardless of whether it originates in the private or public cloud

- Optimizing enterprise performance – by providing the means to analyze utilization of AWS instances

- Ensuring comprehensive security – by enabling security inspection of traffic flowing among AWS workloads by forwarding that traffic to premised or cloud-hosted security devices

- Saving time and resources – by expediting troubleshooting and centralizing security and performance management tasks

- Validating compliance – through continuous monitoring of and enabling reporting of public cloud-hosted resource access and use

The Gigamon solution enables IT organizations to monitor enterprise workloads where it is most advantageous based on their needs. For some, this means monitoring within the AWS Virtual Private Cloud (VPC), or at a dedicated VPC that contains the necessary tools. For others, it may mean centralizing the capability on premises or private infrastructure.

“Gigamon is a market pioneer who has transformed the world of IT through the power of visibility. Whether it’s delivering more effective and efficient security, bringing unprecedented subscriber awareness to service providers or scaling performance management, our Visibility Fabric has been at the center of helping our customers navigate disruptive changes around their next-generation infrastructure,” said Paul Hooper, CEO, Gigamon. “With this milestone, Gigamon enters a new phase in executing our company vision. Today, we are expanding our market yet again to the thousands of businesses that want to confidently and securely host their IT infrastructure on public clouds.”

Participation in the Gigamon traffic visibility for AWS trials opens today.

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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 ...

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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.

Gigamon Starts Trials for Public Cloud Visibility Solution

Gigamon started trials for a solution that allows enterprises to see information traversing public clouds.

Gigamon’s visibility solutions for public cloud kicks off with field trials of its Amazon Web Services (AWS) Elastic Compute Cloud (EC2) offering.

With Gigamon’s visibility solution, enterprises gain flexibility to design and provision the public cloud monitoring infrastructure that meets their business needs with the freedom to choose the most appropriate public cloud provider to address their specific requirements.

As part of the initial field trials, AWS users gain immediate benefit from the Gigamon Visibility Fabric by:

- Reducing network complexity – by centralizing how traffic is forwarded to network and security operations centers (NoCs, SoCs), regardless of whether it originates in the private or public cloud

- Optimizing enterprise performance – by providing the means to analyze utilization of AWS instances

- Ensuring comprehensive security – by enabling security inspection of traffic flowing among AWS workloads by forwarding that traffic to premised or cloud-hosted security devices

- Saving time and resources – by expediting troubleshooting and centralizing security and performance management tasks

- Validating compliance – through continuous monitoring of and enabling reporting of public cloud-hosted resource access and use

The Gigamon solution enables IT organizations to monitor enterprise workloads where it is most advantageous based on their needs. For some, this means monitoring within the AWS Virtual Private Cloud (VPC), or at a dedicated VPC that contains the necessary tools. For others, it may mean centralizing the capability on premises or private infrastructure.

“Gigamon is a market pioneer who has transformed the world of IT through the power of visibility. Whether it’s delivering more effective and efficient security, bringing unprecedented subscriber awareness to service providers or scaling performance management, our Visibility Fabric has been at the center of helping our customers navigate disruptive changes around their next-generation infrastructure,” said Paul Hooper, CEO, Gigamon. “With this milestone, Gigamon enters a new phase in executing our company vision. Today, we are expanding our market yet again to the thousands of businesses that want to confidently and securely host their IT infrastructure on public clouds.”

Participation in the Gigamon traffic visibility for AWS trials opens today.

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.