IGEL and ControlUp announced a strategic partnership in which IGEL will integrate with ControlUp’s real-time monitoring and analytics capabilities via the IGEL Universal Management Suite (UMS).
As a result, users of IGEL OS and IGEL UMS will have fingertip access to the health of their virtual and physical endpoints to improve user experience and productivity.
“As our customers modernize their EUC environments with IGEL OS and its support for any device, any cloud, anywhere, the complexity of their IT infrastructure can grow. By offering integrated support for the ControlUp platform, our mutual customers can gain the real-time monitoring and analytics they need to improve user experience, fast,” said Simon Clephan, VP of Business Development and Strategic Alliances, IGEL. “Users can launch the real-time ControlUp console from the IGEL UMS for the rich analytics and root-cause discovery they need to quickly pinpoint issues – even before they happen – so users can remain productive and happy.”
“By integrating the ControlUp platform with the IGEL UMS, we are quickly giving thousands of IGEL customers the real-time monitoring they need to seamlessly provide better control and remediation for their increasingly diverse endpoints and infrastructure,” said Amir Harel, SVP, Sales and Marketing, ControlUp. “IGEL and ControlUp are a natural – and powerful – combination, particularly when used to support the increasing prevalence of cloud workspaces. When used together, these solutions will not only help maintain optimal user experiences but also help optimize complex environments to lower costs and improve performance.”
Purpose-built to simplify complex enterprise environments, the IGEL UMS management software lets IT easily control any remote endpoint, from just a few to tens of thousands, from a single console. The IGEL UMS is used to manage the diverse devices that run IGEL OS, a powerful next-gen edge OS for cloud workspaces and endpoint security and optimization platform. Supporting any cloud and running on any compatible x86 endpoint hardware, IGEL OS enables highly productive and secure computing from anywhere.
As a result of this partnership, the ControlUp platform will provide monitoring, automation, troubleshooting and analytics through the IGEL UMS for any IGEL OS-powered device, on premises or in the cloud. Offering a simple, yet powerful real-time view into complex IT infrastructure, ControlUp gives IT rapid root-cause analysis and remediation for on-the-spot troubleshooting as well as a detailed historical view of user experience and system health for the proactive insights that can prevent problems before the occur.
Integration between the IGEL OS and IGEL UMS and ControlUp is available now through a Custom Partition, and will be fully integrated in the IGEL OS firmware for customers of both solutions in early Q4.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
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 ...