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ManageEngine Unveils Ultra-Fast Web Client Fluidic at Cisco Live

ManageEngine, the real-time IT management company, today announced the general availability of the Fluidic, the new web client for its network and data center infrastructure management (DCIM) software, OpManager. The new web client is built on APIs and the JavaScript model-view-controller (MVC) platform called Ember.js to help admins get their jobs done faster. The Fluidic also includes several enhancements such as a social wall for IT to simplify collaboration with colleagues using OpManager.

ManageEngine is demonstrating the new features of OpManager at Cisco Live 2014 being held May 18-22, 2014, at Moscone Center in San Francisco. A silver sponsor of the event, ManageEngine is in booth 2205.

Productivity in IT is decided by the IT management solution and the communication platform used by the IT team. The web client of legacy IT management solutions not only offers a poor user experience but is also extremely slow. Even fixing a simple problem is unproductive and time consuming as the IT admin has to navigate across multiple pages and coordinate with various teams.

"iPhones and iPads have raised the user experience to great heights," said Dev Anand, director of product management at ManageEngine. "As a result, users everywhere have grown intolerant of inferior, inefficient design and get easily irritated when an action takes more than a few seconds or requires multiple clicks to complete. That’s why we gave OpManager a new user interface called the Fluidic. It’s ultra-fast and extremely productive."

With OpManager's Fluidic web client, IT admins and data center admins can navigate across various performance dashboards, monitors, graphs and reports in just a few milliseconds. The Fluidic, combined with social IT for real-time collaboration among IT folks, improves IT productivity of large enterprises and data centers.

The core of the new web client design is the API. OpManager now offers all the APIs required to interact with it via any interface, including iPhone, iPad and web. "We have moved away from the server-side MVC design and adopted the JavaScript-based client-side MVC platform Ember.js and handlebar.js for our new interface," added Anand.

Today, enterprises handle 10 times more alarms than they did a decade ago. At $70,000 a year, a systems administrator costs $35 per hour. A 10-member IT team could save $875,000 over 5 years if the user interface for their IT management solution was 25 percent faster. The faster UI would also let them complete their work 25 percent faster, so a task that would typically take eight hours would be completed two hours earlier using the faster UI.

In addition to the Fluidic UI and social wall for IT, OpManager 11.3 enhancements include a custom report builder, a heat map widget with live health status of devices, multi-color graphs built on rickshaw.js, HTML5-based workflow, rack and floor builders, QR codes for asset tracking built on qrcode.js, and support for keyboard shortcuts built on keboard.js.

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 Unveils Ultra-Fast Web Client Fluidic at Cisco Live

ManageEngine, the real-time IT management company, today announced the general availability of the Fluidic, the new web client for its network and data center infrastructure management (DCIM) software, OpManager. The new web client is built on APIs and the JavaScript model-view-controller (MVC) platform called Ember.js to help admins get their jobs done faster. The Fluidic also includes several enhancements such as a social wall for IT to simplify collaboration with colleagues using OpManager.

ManageEngine is demonstrating the new features of OpManager at Cisco Live 2014 being held May 18-22, 2014, at Moscone Center in San Francisco. A silver sponsor of the event, ManageEngine is in booth 2205.

Productivity in IT is decided by the IT management solution and the communication platform used by the IT team. The web client of legacy IT management solutions not only offers a poor user experience but is also extremely slow. Even fixing a simple problem is unproductive and time consuming as the IT admin has to navigate across multiple pages and coordinate with various teams.

"iPhones and iPads have raised the user experience to great heights," said Dev Anand, director of product management at ManageEngine. "As a result, users everywhere have grown intolerant of inferior, inefficient design and get easily irritated when an action takes more than a few seconds or requires multiple clicks to complete. That’s why we gave OpManager a new user interface called the Fluidic. It’s ultra-fast and extremely productive."

With OpManager's Fluidic web client, IT admins and data center admins can navigate across various performance dashboards, monitors, graphs and reports in just a few milliseconds. The Fluidic, combined with social IT for real-time collaboration among IT folks, improves IT productivity of large enterprises and data centers.

The core of the new web client design is the API. OpManager now offers all the APIs required to interact with it via any interface, including iPhone, iPad and web. "We have moved away from the server-side MVC design and adopted the JavaScript-based client-side MVC platform Ember.js and handlebar.js for our new interface," added Anand.

Today, enterprises handle 10 times more alarms than they did a decade ago. At $70,000 a year, a systems administrator costs $35 per hour. A 10-member IT team could save $875,000 over 5 years if the user interface for their IT management solution was 25 percent faster. The faster UI would also let them complete their work 25 percent faster, so a task that would typically take eight hours would be completed two hours earlier using the faster UI.

In addition to the Fluidic UI and social wall for IT, OpManager 11.3 enhancements include a custom report builder, a heat map widget with live health status of devices, multi-color graphs built on rickshaw.js, HTML5-based workflow, rack and floor builders, QR codes for asset tracking built on qrcode.js, and support for keyboard shortcuts built on keboard.js.

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 ...