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ManageEngine Previews DCIM Software at Cisco Live

ManageEngine is previewing its datacenter infrastructure management (DCIM) offerings at Cisco Live London from January 28-February 1, 2013, in booth E115/E118.

Presently, system management and datacenter infrastructure are managed in silos by varying, and often competing, solutions. To facilitate holistic datacenter management, ManageEngine's enhanced DCIM product portfolio provides datacenter managers with real-time visibility of their network assets, racks and environment devices to ensure business continuity and enhance productivity.

The added functionality provides datacenter managers with the ability to also monitor the datacenter's energy consumption, performance impact of external environmental conditions and overall facility management logistics in one integrated dashboard.

"You can't manage what you can't see. This is why we added DCIM visualization features that would provide datacenter managers with the same level of reassurance as physically walking up to each rack and checking it live. Instead of relying on old techniques such as datacenter documentation, datacenter managers can now model their racks and floors per the exact physical dimensions and then view the virtual datacenter from their iPad or mobile device for status as well as change management requirements. It is much easier to see a free space in a rack visually in 3D than scanning through pages of documentation," said Dev Anand, director of product management at MangeEngine.

Anand concluded, "Despite their popularity and cost effectiveness, public clouds didn't really affect the growth of enterprise private clouds last year. In fact, some of our customers manage large enterprise datacenters that could cost 1 million USD in revenue loss for an hour of downtime. We expect this trend of private cloud adoption to continue in 2013-14, and we believe adding such DCIM visualization features will help these die-hard datacenter managers - who can't lose sight of their datacenters - breathe easy."

Also being previewed at Cisco Live London:

OpManager - Preview of 3D datacenter view, rack builder, out-of-the-box monitoring for leading PDU devices

ManageEngine's flagship network monitoring software, OpManager, adds 3D datacenter view and rack builder to power its existing business view capability. The 3D datacenter view can be viewed on an iPad or any mobile device. Now the IT team can bring up a complete virtual datacenter, build the racks and visualize the racks along with the device status in each rack. This can help datacenter admins significantly in managing the datacenter capacity.

The support for APC and Emerson Liebert UPS has been extended to a new bunch of environment devices and PDUs monitoring with the exclusive dashboard to pinpoint any environment or energy issue in the datacenter.

NetFlow Analyzer - HighPerf Reporting Engine

NetFlow Analyzer's HighPerf Reporting Engine add-on enhances the raw data storage capabilities of NetFlow Analyzer and sharpens its analytical insights. Storing raw data for longer periods also enhances the accuracy of capacity planning reports and facilitates better resource planning and infrastructure investment decisions.

ManageEngine OpManager

Download OpManager

NetFlow Analyzer

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 ...

ManageEngine Previews DCIM Software at Cisco Live

ManageEngine is previewing its datacenter infrastructure management (DCIM) offerings at Cisco Live London from January 28-February 1, 2013, in booth E115/E118.

Presently, system management and datacenter infrastructure are managed in silos by varying, and often competing, solutions. To facilitate holistic datacenter management, ManageEngine's enhanced DCIM product portfolio provides datacenter managers with real-time visibility of their network assets, racks and environment devices to ensure business continuity and enhance productivity.

The added functionality provides datacenter managers with the ability to also monitor the datacenter's energy consumption, performance impact of external environmental conditions and overall facility management logistics in one integrated dashboard.

"You can't manage what you can't see. This is why we added DCIM visualization features that would provide datacenter managers with the same level of reassurance as physically walking up to each rack and checking it live. Instead of relying on old techniques such as datacenter documentation, datacenter managers can now model their racks and floors per the exact physical dimensions and then view the virtual datacenter from their iPad or mobile device for status as well as change management requirements. It is much easier to see a free space in a rack visually in 3D than scanning through pages of documentation," said Dev Anand, director of product management at MangeEngine.

Anand concluded, "Despite their popularity and cost effectiveness, public clouds didn't really affect the growth of enterprise private clouds last year. In fact, some of our customers manage large enterprise datacenters that could cost 1 million USD in revenue loss for an hour of downtime. We expect this trend of private cloud adoption to continue in 2013-14, and we believe adding such DCIM visualization features will help these die-hard datacenter managers - who can't lose sight of their datacenters - breathe easy."

Also being previewed at Cisco Live London:

OpManager - Preview of 3D datacenter view, rack builder, out-of-the-box monitoring for leading PDU devices

ManageEngine's flagship network monitoring software, OpManager, adds 3D datacenter view and rack builder to power its existing business view capability. The 3D datacenter view can be viewed on an iPad or any mobile device. Now the IT team can bring up a complete virtual datacenter, build the racks and visualize the racks along with the device status in each rack. This can help datacenter admins significantly in managing the datacenter capacity.

The support for APC and Emerson Liebert UPS has been extended to a new bunch of environment devices and PDUs monitoring with the exclusive dashboard to pinpoint any environment or energy issue in the datacenter.

NetFlow Analyzer - HighPerf Reporting Engine

NetFlow Analyzer's HighPerf Reporting Engine add-on enhances the raw data storage capabilities of NetFlow Analyzer and sharpens its analytical insights. Storing raw data for longer periods also enhances the accuracy of capacity planning reports and facilitates better resource planning and infrastructure investment decisions.

ManageEngine OpManager

Download OpManager

NetFlow Analyzer

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 ...