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ManageEngine Launches CI Manager Plus to Simplify UCS Monitoring for Large Enterprises

ManageEngine launched its new converged infrastructure (CI) management software, CI Manager Plus.

Available immediately, CI Manager Plus simplifies the Cisco Unified Computing System (UCS) monitoring tasks of data center administrators at large enterprises.

ManageEngine will be demonstrating the new application's features at Cisco Live, March 18-21, 2014, in Melbourne, Australia. At the show, ManageEngine will be in booth 27.

In a Cisco UCS environment, the real challenge is managing it. UCS Manager offers comprehensive UCS management, but it is not very user-friendly and has a very steep learning curve. It floods the admins with a lot of uncorrelated events. With CI Manager Plus, UCS management is easy and simple and eliminates the complexities involved with UCS Manager.

CI Manager Plus monitors Cisco UCS via UCS Manager XML APIs. It discovers the UCS and monitors all the devices in the system periodically. CI Manager Plus provides a 2D map of the UCS architecture to help visualize the parent-child relationship of all the devices in the system. This allows data center admins to drill down and identify the exact device that is causing the problem. CI Manager Plus also provides a 3D UCS builder that helps admins create exact replicas of their UCS infrastructures in 3D and embed them in the CI Manager Plus dashboard.

CI Manager Plus provides only the essential performance and fault data, thereby helping admins reduce the effort required to sift through the mountain of data generated by UCS Manager.

CI Manager Plus also includes the best-in-class fault management module, which correlates all the related events raised by UCS Manager into meaningful alarms and uses color codes for differentiating the severity of the alarm. It also includes an email notification option to alert the admins immediately.

"Most large enterprises today want their data centers to be agile and energy efficient," said Bharani Kumar, marketing manager for CI Manager Plus at ManageEngine. "Converged infrastructure devices such as UCS let them quickly expand their data centers and, at the same time, go green. This trend will continue to grow, and a lot of large enterprises will adopt such converged infrastructure devices."

CI Manager Plus is built on OpManager, ManageEngine’s highly scalable, data center infrastructure management software that supports monitoring of 50,000 devices or 1 million interfaces from a single server. Data center admins seeking more visibility into their data center can convert CI Manager Plus into OpManager for network management, physical and virtual server monitoring, 3D data center visualization, workflow automation and more.

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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 ...

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ManageEngine Launches CI Manager Plus to Simplify UCS Monitoring for Large Enterprises

ManageEngine launched its new converged infrastructure (CI) management software, CI Manager Plus.

Available immediately, CI Manager Plus simplifies the Cisco Unified Computing System (UCS) monitoring tasks of data center administrators at large enterprises.

ManageEngine will be demonstrating the new application's features at Cisco Live, March 18-21, 2014, in Melbourne, Australia. At the show, ManageEngine will be in booth 27.

In a Cisco UCS environment, the real challenge is managing it. UCS Manager offers comprehensive UCS management, but it is not very user-friendly and has a very steep learning curve. It floods the admins with a lot of uncorrelated events. With CI Manager Plus, UCS management is easy and simple and eliminates the complexities involved with UCS Manager.

CI Manager Plus monitors Cisco UCS via UCS Manager XML APIs. It discovers the UCS and monitors all the devices in the system periodically. CI Manager Plus provides a 2D map of the UCS architecture to help visualize the parent-child relationship of all the devices in the system. This allows data center admins to drill down and identify the exact device that is causing the problem. CI Manager Plus also provides a 3D UCS builder that helps admins create exact replicas of their UCS infrastructures in 3D and embed them in the CI Manager Plus dashboard.

CI Manager Plus provides only the essential performance and fault data, thereby helping admins reduce the effort required to sift through the mountain of data generated by UCS Manager.

CI Manager Plus also includes the best-in-class fault management module, which correlates all the related events raised by UCS Manager into meaningful alarms and uses color codes for differentiating the severity of the alarm. It also includes an email notification option to alert the admins immediately.

"Most large enterprises today want their data centers to be agile and energy efficient," said Bharani Kumar, marketing manager for CI Manager Plus at ManageEngine. "Converged infrastructure devices such as UCS let them quickly expand their data centers and, at the same time, go green. This trend will continue to grow, and a lot of large enterprises will adopt such converged infrastructure devices."

CI Manager Plus is built on OpManager, ManageEngine’s highly scalable, data center infrastructure management software that supports monitoring of 50,000 devices or 1 million interfaces from a single server. Data center admins seeking more visibility into their data center can convert CI Manager Plus into OpManager for network management, physical and virtual server monitoring, 3D data center visualization, workflow automation 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 ...