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Gigamon Launches Power of 3 Cloud Integration Initiative with Dynatrace and Trace3

Gigamon announced a new initiative to help customers gain greater visibility to better secure and manage their hybrid cloud infrastructure.

The Gigamon Power of 3 Cloud Integration Initiative brings together Gigamon, a Gigamon channel partner, and a networking, security, or observability technology alliance partner, providing customers with access to technology integrations and support that will help deploy and manage solutions more efficiently.

The first Power of 3 Cloud Integration Initiative offering features channel partner Trace3 and Dynatrace to deliver a unified view across hybrid cloud infrastructure by integrating the Dynatrace platform with the Gigamon Deep Observability Pipeline, sold and serviced by Trace3.

“Now more than ever our customers are looking for greater efficiencies – in time, resources, and proven technologies,” said Dee Dee Acquista, vice president of Worldwide Channel Sales at Gigamon. “By establishing the Power of 3 Cloud Integration Initiative, we’re able to combine the expertise of our specialized channel partners and with our proven technology alliance partner integrations. This trifecta allows us to more quickly and efficiently deliver the security and networking solutions our customers need to efficiently secure and manage hybrid cloud infrastructure.”

By combining the Dynatrace platform with the network-derived intelligence and insights from the Gigamon Deep Observability Pipeline, Trace3 can now offer customers a deep observability solution that brings a whole new level of visibility across hybrid cloud infrastructure. The addition of robust network telemetry from Gigamon supports a range of use cases for the Dynatrace platform, allowing customers to proactively detect vulnerabilities in open-source and third-party components, while gaining visibility into lateral movement across hybrid cloud environments. This powerful combination enables organizations to shift to a proactive security posture so they can focus on building customer trust and mitigating business and technical risk.

Trace3, a technology consultancy, has been a Gigamon partner since 2013, and brings design, implementation, and services expertise to this Power of 3 combination.

The new integrated solution will enable customers to:

- Gain deep observability across hybrid cloud infrastructure to eliminate blind spots.

- Generate actionable insights into security and performance issues using AI-based tools for predictive and prescriptive analysis.

- Reduce Mean Time to Respond (MTTR) and accelerate Mean Time to Innocence (MTTI) by efficiently going from issue detection to identification to resolution.

“Working with Gigamon, we’ve long recognized the value of bringing network telemetry data into security, observability, and cloud tools for our clients that are grappling with the complexity of managing and securing hybrid cloud infrastructure,” said Chris Nicholas, SVP, Cloud Solutions Group at Trace3. “With the integration of Dynatrace and Gigamon solutions, we’re able to bring deep observability to our customers that are looking to advance their security posture across their entire hybrid cloud infrastructure. Our team is trained and knowledgeable on this technology, further accelerating our ability to help customers execute on their cloud transformation initiatives.”

“Customers increasingly report being overwhelmed with the complexity and massive scale of today’s hybrid and multi-cloud environments and look to Dynatrace for a single, unified observability and security platform to improve application performance, end-user experience, and developer productivity,” said Bob Wambach, vice president of product marketing at Dynatrace. “Bringing Gigamon network telemetry data into the Dynatrace platform provides NetOps, CloudOps, and Security teams with deep observability into application traffic running across data centers and multi-cloud environments to help identify and resolve issues before they impact business.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Gigamon Launches Power of 3 Cloud Integration Initiative with Dynatrace and Trace3

Gigamon announced a new initiative to help customers gain greater visibility to better secure and manage their hybrid cloud infrastructure.

The Gigamon Power of 3 Cloud Integration Initiative brings together Gigamon, a Gigamon channel partner, and a networking, security, or observability technology alliance partner, providing customers with access to technology integrations and support that will help deploy and manage solutions more efficiently.

The first Power of 3 Cloud Integration Initiative offering features channel partner Trace3 and Dynatrace to deliver a unified view across hybrid cloud infrastructure by integrating the Dynatrace platform with the Gigamon Deep Observability Pipeline, sold and serviced by Trace3.

“Now more than ever our customers are looking for greater efficiencies – in time, resources, and proven technologies,” said Dee Dee Acquista, vice president of Worldwide Channel Sales at Gigamon. “By establishing the Power of 3 Cloud Integration Initiative, we’re able to combine the expertise of our specialized channel partners and with our proven technology alliance partner integrations. This trifecta allows us to more quickly and efficiently deliver the security and networking solutions our customers need to efficiently secure and manage hybrid cloud infrastructure.”

By combining the Dynatrace platform with the network-derived intelligence and insights from the Gigamon Deep Observability Pipeline, Trace3 can now offer customers a deep observability solution that brings a whole new level of visibility across hybrid cloud infrastructure. The addition of robust network telemetry from Gigamon supports a range of use cases for the Dynatrace platform, allowing customers to proactively detect vulnerabilities in open-source and third-party components, while gaining visibility into lateral movement across hybrid cloud environments. This powerful combination enables organizations to shift to a proactive security posture so they can focus on building customer trust and mitigating business and technical risk.

Trace3, a technology consultancy, has been a Gigamon partner since 2013, and brings design, implementation, and services expertise to this Power of 3 combination.

The new integrated solution will enable customers to:

- Gain deep observability across hybrid cloud infrastructure to eliminate blind spots.

- Generate actionable insights into security and performance issues using AI-based tools for predictive and prescriptive analysis.

- Reduce Mean Time to Respond (MTTR) and accelerate Mean Time to Innocence (MTTI) by efficiently going from issue detection to identification to resolution.

“Working with Gigamon, we’ve long recognized the value of bringing network telemetry data into security, observability, and cloud tools for our clients that are grappling with the complexity of managing and securing hybrid cloud infrastructure,” said Chris Nicholas, SVP, Cloud Solutions Group at Trace3. “With the integration of Dynatrace and Gigamon solutions, we’re able to bring deep observability to our customers that are looking to advance their security posture across their entire hybrid cloud infrastructure. Our team is trained and knowledgeable on this technology, further accelerating our ability to help customers execute on their cloud transformation initiatives.”

“Customers increasingly report being overwhelmed with the complexity and massive scale of today’s hybrid and multi-cloud environments and look to Dynatrace for a single, unified observability and security platform to improve application performance, end-user experience, and developer productivity,” said Bob Wambach, vice president of product marketing at Dynatrace. “Bringing Gigamon network telemetry data into the Dynatrace platform provides NetOps, CloudOps, and Security teams with deep observability into application traffic running across data centers and multi-cloud environments to help identify and resolve issues before they impact business.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...