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ManageEngine Launches RackBuilder Plus for 3D Modeling, Monitoring of Data Centers

ManageEngine launched RackBuilder Plus, the easy-to-use, 3D visual modeling software for large enterprises and data centers.

With RackBuilder Plus, IT and data center admins save time and improve facilities management with a complete inventory of the data center, including all the relationship details between racks, floors and devices. In an industry-first combination, RackBuilder Plus also offers real-time monitoring of data center devices.

ManageEngine will be demonstrating RackBuilder Plus at Data Center World, April 28-May 2, 2014, in Las Vegas. At the show, ManageEngine will be in booth 113.

As more enterprises run multiple data centers for load sharing and redundancy, admins find it difficult to gain clear overall visibility into their data centers. Conventional data center documentation tools such as Excel and Visio do not provide a dynamic, realistic view of the data center. In turn, admins have to sift through multiple pages of documents to trace a particular device that has to be removed from the rack for maintenance. Meanwhile, the visual modeling tools available in the market fail to offer the 3D views that data center admins require.

“A life-like, realistic view of the data center is necessary for gaining more visibility and managing it better,” said Dev Anand, director of product management at ManageEngine. “With RackBuilder Plus, data center admins can create an exact replica of the data center floor with all the racks and devices populated — in 3D. This makes it easy for them to quickly locate a device or a rack.”

RackBuilder Plus offers an easy-to-use rack and floor builder that lets data center admins create 3D views of racks and data center floors. Admins just drag and drop devices onto the racks and then drag and drop the racks onto the floors. RackBuilder Plus combines 3D visual modeling with device monitoring to help admins identify the health status of the devices in real time.

RackBuilder Plus also improves facilities management by making it easier for admins to identify the free slots available in each rack as well as the rack space available on each floor. This helps data center admins find out their rack and floor utilization and plan accordingly for future expansion. RackBuilder Plus also supports data migration from other data center documentation tools such as Device42 and RackTables.

RackBuilder Plus is built on OpManager, ManageEngine’s highly scalable, data center infrastructure management software that can monitor 50,000 devices or 1 million interfaces from a single server. Data center admins seeking more visibility and management into their data center can convert RackBuilder Plus into OpManager for network management, physical and virtual server monitoring, fault management, workflow automation, asset management and more.

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ManageEngine Launches RackBuilder Plus for 3D Modeling, Monitoring of Data Centers

ManageEngine launched RackBuilder Plus, the easy-to-use, 3D visual modeling software for large enterprises and data centers.

With RackBuilder Plus, IT and data center admins save time and improve facilities management with a complete inventory of the data center, including all the relationship details between racks, floors and devices. In an industry-first combination, RackBuilder Plus also offers real-time monitoring of data center devices.

ManageEngine will be demonstrating RackBuilder Plus at Data Center World, April 28-May 2, 2014, in Las Vegas. At the show, ManageEngine will be in booth 113.

As more enterprises run multiple data centers for load sharing and redundancy, admins find it difficult to gain clear overall visibility into their data centers. Conventional data center documentation tools such as Excel and Visio do not provide a dynamic, realistic view of the data center. In turn, admins have to sift through multiple pages of documents to trace a particular device that has to be removed from the rack for maintenance. Meanwhile, the visual modeling tools available in the market fail to offer the 3D views that data center admins require.

“A life-like, realistic view of the data center is necessary for gaining more visibility and managing it better,” said Dev Anand, director of product management at ManageEngine. “With RackBuilder Plus, data center admins can create an exact replica of the data center floor with all the racks and devices populated — in 3D. This makes it easy for them to quickly locate a device or a rack.”

RackBuilder Plus offers an easy-to-use rack and floor builder that lets data center admins create 3D views of racks and data center floors. Admins just drag and drop devices onto the racks and then drag and drop the racks onto the floors. RackBuilder Plus combines 3D visual modeling with device monitoring to help admins identify the health status of the devices in real time.

RackBuilder Plus also improves facilities management by making it easier for admins to identify the free slots available in each rack as well as the rack space available on each floor. This helps data center admins find out their rack and floor utilization and plan accordingly for future expansion. RackBuilder Plus also supports data migration from other data center documentation tools such as Device42 and RackTables.

RackBuilder Plus is built on OpManager, ManageEngine’s highly scalable, data center infrastructure management software that can monitor 50,000 devices or 1 million interfaces from a single server. Data center admins seeking more visibility and management into their data center can convert RackBuilder Plus into OpManager for network management, physical and virtual server monitoring, fault management, workflow automation, asset management and more.

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 ...