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ManageEngine DCIM Integrates IT and Facilities Management

ManageEngine has combined facilities and IT management in its integrated IT management software, IT360.

Available immediately, the latest version of IT360 reinforces its value as a data center infrastructure management (DCIM) solution by enabling real-time management of IT and facilities infrastructure components from a single console.

ManageEngine has also fortified IT360 with workflow automation, network change and configuration management, and a 3-D rack builder.

The IT360 news coincides with ManageEngine’s participation at the Gartner Data Center Conference being held December 9–12, 2013, at the Venetian Resort Hotel and Casino in Las Vegas. A silver sponsor of the conference, ManageEngine is demonstrating IT360 in booth 515.

As business units put growing pressure on IT to deliver non-stop services, the data center plays an increasingly important role in the enterprise. Yet many data center admins struggle to manage their entire data center infrastructures, including IT and non-IT resources. Manual processes, multiple tools and consoles, inefficient power management and other challenges interfere with optimal management of the data center and underlying components. For these companies, an automated DCIM solution that supports IT and facilities management from a single console promises to eliminate many of the challenges to data center optimization.

“Energy management rivals IT management as one of the major challenges in running an efficient data center,” said Sridhar Iyengar, VP, product management at ManageEngine. “Typically, the IT management and facilities infrastructure management are separate worlds, which prevent data center operations teams from readily correlating facilities and IT events. Now, IT360 unifies the facilities and IT management in a unified DCIM console, so data center admins can easily see facilities and IT relationships and manage the complete data center proactively.”

IT360 has established a reputation as a trusted solution for managing an entire IT infrastructure from a single console. That reputation was validated in a report recently published by Enterprise Management Associates (EMA), which positioned IT360 as a Value Leader in Application Discovery and Dependency Mapping, and recognized ManageEngine as a ‘Vendor On the Move’ for its advanced integrated CMDB capabilities.

Building on that reputation, ManageEngine has enhanced IT360 with the following new features:

- Passive device management lets data center operations teams monitor and control passive infrastructure components in the data center, including power, cooling control systems and other non-IT assets. The operations team can also remotely monitor and manage the passive devices as well as manage asset lifecycles. IT360 can also report on power usage effectiveness (PUE), data center infrastructure efficiency (DCiE) and KPI reports on energy efficiency across sites and regions.

- Workflow automation relies on more than 70 code-free workflow templates to automate routine tasks that data center admins would otherwise perform manually or write scripts to automate. With IT360, admins can create or modify automated workflows via an intuitive, drag-and-drop interface.

- Network change and configuration management lets data center admins configure multi-vendor network devices such as routers, switches and firewalls directly from IT360. In addition, IT360 can detect a configuration change in a network device, alert admins to the change and roll back the device to its previous, pre-change state.

- 3-D rack builder enables data center staff to create an exact, three-dimensional replica of their data center infrastructure on screen. Admins can easily build racks and check the health of associated network elements via the drag-and-drop console. Unlike isolated rack builders, the IT360 3-D rack builder displays the real-time status of each element, so admins can visually model the entire data center from the NOC screens.

In a recent survey by ManageEngine, approximately 46 percent of data center managers report they are tired of multiple data collecting nodes and are looking to consolidate nodes. Meanwhile, 32 percent report they lack the analytics needed to make informed decisions.

“True data center infrastructure management consolidates the administration of all hardware, software and environmental components across a support stack onto a single console interface,” noted Steve Brasen, managing research director at Enterprise Management Associates. “By extending the IT360 solution to deliver functionality that targets key requirements in facilities management, ManageEngine has achieved a milestone in enabling holistic infrastructure monitoring and management that will drive proactive IT optimizations, efficiencies and cost-reductions.”

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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 ...

ManageEngine DCIM Integrates IT and Facilities Management

ManageEngine has combined facilities and IT management in its integrated IT management software, IT360.

Available immediately, the latest version of IT360 reinforces its value as a data center infrastructure management (DCIM) solution by enabling real-time management of IT and facilities infrastructure components from a single console.

ManageEngine has also fortified IT360 with workflow automation, network change and configuration management, and a 3-D rack builder.

The IT360 news coincides with ManageEngine’s participation at the Gartner Data Center Conference being held December 9–12, 2013, at the Venetian Resort Hotel and Casino in Las Vegas. A silver sponsor of the conference, ManageEngine is demonstrating IT360 in booth 515.

As business units put growing pressure on IT to deliver non-stop services, the data center plays an increasingly important role in the enterprise. Yet many data center admins struggle to manage their entire data center infrastructures, including IT and non-IT resources. Manual processes, multiple tools and consoles, inefficient power management and other challenges interfere with optimal management of the data center and underlying components. For these companies, an automated DCIM solution that supports IT and facilities management from a single console promises to eliminate many of the challenges to data center optimization.

“Energy management rivals IT management as one of the major challenges in running an efficient data center,” said Sridhar Iyengar, VP, product management at ManageEngine. “Typically, the IT management and facilities infrastructure management are separate worlds, which prevent data center operations teams from readily correlating facilities and IT events. Now, IT360 unifies the facilities and IT management in a unified DCIM console, so data center admins can easily see facilities and IT relationships and manage the complete data center proactively.”

IT360 has established a reputation as a trusted solution for managing an entire IT infrastructure from a single console. That reputation was validated in a report recently published by Enterprise Management Associates (EMA), which positioned IT360 as a Value Leader in Application Discovery and Dependency Mapping, and recognized ManageEngine as a ‘Vendor On the Move’ for its advanced integrated CMDB capabilities.

Building on that reputation, ManageEngine has enhanced IT360 with the following new features:

- Passive device management lets data center operations teams monitor and control passive infrastructure components in the data center, including power, cooling control systems and other non-IT assets. The operations team can also remotely monitor and manage the passive devices as well as manage asset lifecycles. IT360 can also report on power usage effectiveness (PUE), data center infrastructure efficiency (DCiE) and KPI reports on energy efficiency across sites and regions.

- Workflow automation relies on more than 70 code-free workflow templates to automate routine tasks that data center admins would otherwise perform manually or write scripts to automate. With IT360, admins can create or modify automated workflows via an intuitive, drag-and-drop interface.

- Network change and configuration management lets data center admins configure multi-vendor network devices such as routers, switches and firewalls directly from IT360. In addition, IT360 can detect a configuration change in a network device, alert admins to the change and roll back the device to its previous, pre-change state.

- 3-D rack builder enables data center staff to create an exact, three-dimensional replica of their data center infrastructure on screen. Admins can easily build racks and check the health of associated network elements via the drag-and-drop console. Unlike isolated rack builders, the IT360 3-D rack builder displays the real-time status of each element, so admins can visually model the entire data center from the NOC screens.

In a recent survey by ManageEngine, approximately 46 percent of data center managers report they are tired of multiple data collecting nodes and are looking to consolidate nodes. Meanwhile, 32 percent report they lack the analytics needed to make informed decisions.

“True data center infrastructure management consolidates the administration of all hardware, software and environmental components across a support stack onto a single console interface,” noted Steve Brasen, managing research director at Enterprise Management Associates. “By extending the IT360 solution to deliver functionality that targets key requirements in facilities management, ManageEngine has achieved a milestone in enabling holistic infrastructure monitoring and management that will drive proactive IT optimizations, efficiencies and cost-reductions.”

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 ...