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IGEL Expands Collaboration with ControlUp

IGEL is expanding its collaboration with ControlUp with the integration of their ControlUp Remote DX and ControlUp Edge DX for IGEL OS-powered endpoint environments.

These new capabilities provide greater visibility into endpoint performance while optimizing the digital employee experience for the end user.

"Our expanded relationship with ControlUp provides our mutual customers with more key metrics for expanded visibility and control over the performance of their endpoints, while at the same time helping to identify ways to better optimize the employee digital experience," said Matthias Haas, CTO, IGEL. "With ControlUp, organizations can make more educated decisions about how to improve the performance of their Citrix, VMware, and other virtual desktop and cloud workspace solutions. As a result, they can drive greater productivity and flexibility for end-users."

IGEL and ControlUp first began collaborating in 2019 when the two companies forged an alliance to deliver real-time monitoring combined with an endpoint OS designed for secure, flexible access to cloud-delivered digital workspaces. With the launch of ControlUp Remote DX and ControlUp Edge DX, IGEL and ControlUp are continuing, together, to optimize the end-user's digital experience.

- ControlUp Remote DX: Visibility into the digital employee experience, by monitoring local network performance, including Wi-Fi strength and speed, as well as user device ISP connectivity measurement, regardless of employee location.

- ControlUp Edge DX: ControlUp brings its proven real-time monitoring and optimization capabilities from the world of virtual applications and desktops into the realm of physical endpoints (i.e. machines running Windows, macOS, or Linux).

"To remain productive, today's increasingly distributed workforce relies on being able to connect remotely to their business-critical resources and applications," said Alexander Rublowsky, Executive VP of Marketing at ControlUp. "Enterprises simply can't risk a diminished user experience due to poor connectivity. With the acquisition of Avacee in December 2020, ControlUp is now able to offer a powerful solution that provides high availability, reliability, and performance while supporting the new "work-from-anywhere" business model..."

In February 2021, ControlUp released ControlUp v8.2, the latest version of its real-time performance monitoring dashboard. IGEL OS will support the new functionality with the release of 11.06.100 in August.

"Embedding ControlUp into IGEL OS enables organizations to quickly leverage new features and capabilities that are available in a way that further simplifies the monitoring and optimization of IGEL-powered endpoints, so that users can remain more productive and happier," continued Haas.

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Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

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When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

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In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

IGEL Expands Collaboration with ControlUp

IGEL is expanding its collaboration with ControlUp with the integration of their ControlUp Remote DX and ControlUp Edge DX for IGEL OS-powered endpoint environments.

These new capabilities provide greater visibility into endpoint performance while optimizing the digital employee experience for the end user.

"Our expanded relationship with ControlUp provides our mutual customers with more key metrics for expanded visibility and control over the performance of their endpoints, while at the same time helping to identify ways to better optimize the employee digital experience," said Matthias Haas, CTO, IGEL. "With ControlUp, organizations can make more educated decisions about how to improve the performance of their Citrix, VMware, and other virtual desktop and cloud workspace solutions. As a result, they can drive greater productivity and flexibility for end-users."

IGEL and ControlUp first began collaborating in 2019 when the two companies forged an alliance to deliver real-time monitoring combined with an endpoint OS designed for secure, flexible access to cloud-delivered digital workspaces. With the launch of ControlUp Remote DX and ControlUp Edge DX, IGEL and ControlUp are continuing, together, to optimize the end-user's digital experience.

- ControlUp Remote DX: Visibility into the digital employee experience, by monitoring local network performance, including Wi-Fi strength and speed, as well as user device ISP connectivity measurement, regardless of employee location.

- ControlUp Edge DX: ControlUp brings its proven real-time monitoring and optimization capabilities from the world of virtual applications and desktops into the realm of physical endpoints (i.e. machines running Windows, macOS, or Linux).

"To remain productive, today's increasingly distributed workforce relies on being able to connect remotely to their business-critical resources and applications," said Alexander Rublowsky, Executive VP of Marketing at ControlUp. "Enterprises simply can't risk a diminished user experience due to poor connectivity. With the acquisition of Avacee in December 2020, ControlUp is now able to offer a powerful solution that provides high availability, reliability, and performance while supporting the new "work-from-anywhere" business model..."

In February 2021, ControlUp released ControlUp v8.2, the latest version of its real-time performance monitoring dashboard. IGEL OS will support the new functionality with the release of 11.06.100 in August.

"Embedding ControlUp into IGEL OS enables organizations to quickly leverage new features and capabilities that are available in a way that further simplifies the monitoring and optimization of IGEL-powered endpoints, so that users can remain more productive and happier," continued Haas.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...