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In Hyperscale Environments Network Visibility Remains Vital

Mike Heumann

Hyperscale infrastructure was once widely considered to be designed for large, web-facing organizations or top-tier colocation and cloud providers. But as the enterprise starts to confront the realities of big data and mobile, dynamic workloads, it seems inevitable that even medium-sized organizations will have to encounter hyperscale environments at some point, either as greenfield deployments or in a hosted/cloud capacity – and we’re seeing this come to fruition. According to an October 2014 Emulex survey of more than 1,600 US and European IT professionals who provided insight into their enterprise data center networking environments, 57 percent of respondents have adopted hyperscale networking environments.

What are the ramifications of this? More than half of these (51 percent) named increasing bandwidth as a major challenge in moving to hyperscale environments, which is driving massive network upgrades. In fact, more than 77 percent of respondents running hyperscale environments say the move to the cloud has already necessitated the upgrade of their networks to at least 40Gb Ethernet. Big data and analytics are driving high volumes of data storage, capture, movement and archiving which all drive an increased need for both higher bandwidth and lower latency on 10Gb and 40Gb Ethernet using RDMA.

We’re seeing hyperscale network environments grow across enterprises because it has a number of benefits: It can be a key piece of smarter, more manageable application ecosystems. On a network level, hyperscale can also aid business continuity and disaster recovery efforts by providing redundant failover architecture and rapid recovery. Hyperscale can also accentuate the benefits that technologies like virtualization and software-defined networking provide, making it a potentially vital configuration in the more scalable data center machinery of the future.

As we know, the loss of application or network services for even a few minutes can mean huge and immediate revenue losses, and can impact long-term customer loyalty. As many enterprises go through these rapid network changes and as hyperscale environments become more common, it is important that IT networking and application staffs prioritize network visibility as a means to identify any network issues that need to be identified quickly. Many organizations are struggling to accurately monitor increasingly complex enterprise networks as they shift to 10Gb Ethernet or even higher speeds.  

For those running hyperscale environments, 97 percent said it has necessitated a move to 10GbE, 40GbE or higher speeds to meet demands of high-performance applications such as big data, analytics and content distribution, compared to only 48 percent of respondents from non-hyperscale organizations. As a result, the underlying communication networks matter, and perhaps not surprisingly, capturing network behavior for incident detection and monitoring network flows for anomalous behavior are just as important. The ability to do both of these is essential in many high-speed networks (such as trading platforms and e-commerce portals) in order to spot cyber threats like DDoS attacks. The migration to larger, faster networks only exacerbates the threat of missing these attacks, and increases the need for clear, deep visibility.

Mike Heumann is VP of Product Marketing and Alliances at Emulex.

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In Hyperscale Environments Network Visibility Remains Vital

Mike Heumann

Hyperscale infrastructure was once widely considered to be designed for large, web-facing organizations or top-tier colocation and cloud providers. But as the enterprise starts to confront the realities of big data and mobile, dynamic workloads, it seems inevitable that even medium-sized organizations will have to encounter hyperscale environments at some point, either as greenfield deployments or in a hosted/cloud capacity – and we’re seeing this come to fruition. According to an October 2014 Emulex survey of more than 1,600 US and European IT professionals who provided insight into their enterprise data center networking environments, 57 percent of respondents have adopted hyperscale networking environments.

What are the ramifications of this? More than half of these (51 percent) named increasing bandwidth as a major challenge in moving to hyperscale environments, which is driving massive network upgrades. In fact, more than 77 percent of respondents running hyperscale environments say the move to the cloud has already necessitated the upgrade of their networks to at least 40Gb Ethernet. Big data and analytics are driving high volumes of data storage, capture, movement and archiving which all drive an increased need for both higher bandwidth and lower latency on 10Gb and 40Gb Ethernet using RDMA.

We’re seeing hyperscale network environments grow across enterprises because it has a number of benefits: It can be a key piece of smarter, more manageable application ecosystems. On a network level, hyperscale can also aid business continuity and disaster recovery efforts by providing redundant failover architecture and rapid recovery. Hyperscale can also accentuate the benefits that technologies like virtualization and software-defined networking provide, making it a potentially vital configuration in the more scalable data center machinery of the future.

As we know, the loss of application or network services for even a few minutes can mean huge and immediate revenue losses, and can impact long-term customer loyalty. As many enterprises go through these rapid network changes and as hyperscale environments become more common, it is important that IT networking and application staffs prioritize network visibility as a means to identify any network issues that need to be identified quickly. Many organizations are struggling to accurately monitor increasingly complex enterprise networks as they shift to 10Gb Ethernet or even higher speeds.  

For those running hyperscale environments, 97 percent said it has necessitated a move to 10GbE, 40GbE or higher speeds to meet demands of high-performance applications such as big data, analytics and content distribution, compared to only 48 percent of respondents from non-hyperscale organizations. As a result, the underlying communication networks matter, and perhaps not surprisingly, capturing network behavior for incident detection and monitoring network flows for anomalous behavior are just as important. The ability to do both of these is essential in many high-speed networks (such as trading platforms and e-commerce portals) in order to spot cyber threats like DDoS attacks. The migration to larger, faster networks only exacerbates the threat of missing these attacks, and increases the need for clear, deep visibility.

Mike Heumann is VP of Product Marketing and Alliances at Emulex.

Hot Topics

The Latest

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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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

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