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Gigamon Introduces Pervasive Visibility Platform on AWS

Gigamon announced general availability of a data-in-motion visibility platform for the cloud that enables organizations to gain consistent insight and access across their corporate infrastructure to manage workloads and applications as they scale to the cloud.

Cloud architects, SecOps and DevOps teams can obtain deep visibility into data-in-motion regardless of infrastructure location, whether owned on-premises or consumed on a cloud platform such as Amazon Web Services (AWS), thereby providing them with the same visibility required to perform content inspection and secure their mission-critical workloads.

The Gigamon Visibility Platform for Amazon Elastic Compute Cloud (Amazon EC2) offers:

- One consistent method to gain visibility into network traffic in Amazon Virtual Private Cloud (Amazon VPC), eliminating both the visibility gap and the need for custom agents

- Ability to consolidate and distribute traffic to multiple tools for enhanced performance. Security teams can customize traffic sent to each security tool to increase its effectiveness

- Advanced traffic intelligence functions including Gigamon’s patented Flow Mapping and GigaSMART applications - Sampling, Slicing, and Masking - to deliver only the traffic of interest to security tools, and in doing so, maximize their efficiency

- An intuitive drag-and-drop user interface on GigaVUE-FM to quickly configure traffic policies

- An agnostic platform, benefiting any security tool, management tool and application that needs network traffic for analysis and inspection

- The flexibility to run security tools anywhere – on-premises, in the same Amazon VPC, or in a centralized Amazon VPC

“The Gigamon Visibility Platform enables our customers to accelerate their ‘lift and shift’ strategy as they move workloads on AWS,” said Tim Jefferson, Global Ecosystem Leader-Security, Amazon Web Services, Inc. “They can now accelerate migration of their existing applications and workloads, while gaining greater visibility into network traffic for richer content inspection and protection of their mission-critical workloads and data.”

“During the course of the last year, many customers and partners asked us to deliver a solution that provides the same level of visibility in the cloud as we offer on-premises,” said Ananda Rajagopal, VP of Products, at Gigamon. “We developed the Gigamon Visibility Platform on AWS to enable our customers to have one consistent visibility platform regardless of workload location. Now these customers can effectively manage, secure and understand all of their data-in-motion across their enterprise and AWS cloud environments.”

The Gigamon Visibility Platform on AWS is built for elastic scale. Highlights include:

- Integration between GigaVUE-FM, Amazon EC2 APIs and Amazon CloudWatch to automatically discover new virtual machines (Amazon EC2 instances) or ongoing changes in a VPC

- “Automatic Target Selection” for elastic visibility as applications scale-out: Innovative, patent-pending method to automatically select and deliver traffic that matches a configured policy as new instances spin up

- A patent-pending controller-based elastic architecture that enables organizations to start small and massively scale out to maximize the benefits in a public cloud IaaS

- Open REST APIs for third-party management applications to orchestrate and automate visibility or tool vendors to perform closed loop detect-react-respond to traffic analysis

KEY BENEFITS

See What Matters – On-premise or on AWS
- Access, categorize, and consolidate the delivery of network traffic to out-of-band security and performance management tools

See More. Secure More – Obtain common visibility across all enterprise VPCs
- Mitigate risk and ensure data privacy compliance
- Accelerate incident detection and response

Understand What Matters – Gain full transparency into traffic-of-interest traversing AWS
- Improve customer experience by delivering better, faster service of applications hosted on AWS
- Gain better insights and intelligence into traffic of interest

Business & AWS Cloud Benefits
- Flexible deployment models give freedom of choice on both location of workload and location of monitoring tools
- Avoid extensive re-architecting or unnecessary capacity upgrades

Gigamon Visibility Platform on AWS will be generally available as community AMIs (end of November) and later, through the AWS Marketplace and activated by BYOL license.

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 ...

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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 ...

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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 Introduces Pervasive Visibility Platform on AWS

Gigamon announced general availability of a data-in-motion visibility platform for the cloud that enables organizations to gain consistent insight and access across their corporate infrastructure to manage workloads and applications as they scale to the cloud.

Cloud architects, SecOps and DevOps teams can obtain deep visibility into data-in-motion regardless of infrastructure location, whether owned on-premises or consumed on a cloud platform such as Amazon Web Services (AWS), thereby providing them with the same visibility required to perform content inspection and secure their mission-critical workloads.

The Gigamon Visibility Platform for Amazon Elastic Compute Cloud (Amazon EC2) offers:

- One consistent method to gain visibility into network traffic in Amazon Virtual Private Cloud (Amazon VPC), eliminating both the visibility gap and the need for custom agents

- Ability to consolidate and distribute traffic to multiple tools for enhanced performance. Security teams can customize traffic sent to each security tool to increase its effectiveness

- Advanced traffic intelligence functions including Gigamon’s patented Flow Mapping and GigaSMART applications - Sampling, Slicing, and Masking - to deliver only the traffic of interest to security tools, and in doing so, maximize their efficiency

- An intuitive drag-and-drop user interface on GigaVUE-FM to quickly configure traffic policies

- An agnostic platform, benefiting any security tool, management tool and application that needs network traffic for analysis and inspection

- The flexibility to run security tools anywhere – on-premises, in the same Amazon VPC, or in a centralized Amazon VPC

“The Gigamon Visibility Platform enables our customers to accelerate their ‘lift and shift’ strategy as they move workloads on AWS,” said Tim Jefferson, Global Ecosystem Leader-Security, Amazon Web Services, Inc. “They can now accelerate migration of their existing applications and workloads, while gaining greater visibility into network traffic for richer content inspection and protection of their mission-critical workloads and data.”

“During the course of the last year, many customers and partners asked us to deliver a solution that provides the same level of visibility in the cloud as we offer on-premises,” said Ananda Rajagopal, VP of Products, at Gigamon. “We developed the Gigamon Visibility Platform on AWS to enable our customers to have one consistent visibility platform regardless of workload location. Now these customers can effectively manage, secure and understand all of their data-in-motion across their enterprise and AWS cloud environments.”

The Gigamon Visibility Platform on AWS is built for elastic scale. Highlights include:

- Integration between GigaVUE-FM, Amazon EC2 APIs and Amazon CloudWatch to automatically discover new virtual machines (Amazon EC2 instances) or ongoing changes in a VPC

- “Automatic Target Selection” for elastic visibility as applications scale-out: Innovative, patent-pending method to automatically select and deliver traffic that matches a configured policy as new instances spin up

- A patent-pending controller-based elastic architecture that enables organizations to start small and massively scale out to maximize the benefits in a public cloud IaaS

- Open REST APIs for third-party management applications to orchestrate and automate visibility or tool vendors to perform closed loop detect-react-respond to traffic analysis

KEY BENEFITS

See What Matters – On-premise or on AWS
- Access, categorize, and consolidate the delivery of network traffic to out-of-band security and performance management tools

See More. Secure More – Obtain common visibility across all enterprise VPCs
- Mitigate risk and ensure data privacy compliance
- Accelerate incident detection and response

Understand What Matters – Gain full transparency into traffic-of-interest traversing AWS
- Improve customer experience by delivering better, faster service of applications hosted on AWS
- Gain better insights and intelligence into traffic of interest

Business & AWS Cloud Benefits
- Flexible deployment models give freedom of choice on both location of workload and location of monitoring tools
- Avoid extensive re-architecting or unnecessary capacity upgrades

Gigamon Visibility Platform on AWS will be generally available as community AMIs (end of November) and later, through the AWS Marketplace and activated by BYOL license.

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.