
IGEL introduced the IGEL Thin Client assessment tool powered by Lakeside Software SysTrack Workspace Analytics.
Designed to augment visibility into IGEL OS-powered endpoints, SysTrack leverages a virtual channel to provide IT organizations with a robust set of workspace analytics that gathers endpoint metrics such as CPU performance, system memory, disk usage, peripheral devices, network connectivity and latency directly from the enterprise's IGEL-powered endpoints. Next, SysTrack directly ties the collected data to the endpoint's active Citrix VDI sessions and presents IT organizations with telemetry they can then use to monitor, analyze and optimize their IGEL and end-user computing (EUC) environments.
Simon Clephan, VP of Business Development and Strategic Alliances, IGEL, said: "By teaming with Lakeside and leveraging SysTrack Workspace Analytics at the endpoint, we are effectively positioning the end-user at the center of IT, which is resulting in both a more optimized EUC environment and better performing endpoints."
Among IGEL's family of Citrix Ready endpoint solutions that can now be monitored using SysTrack are the IGEL OS-powered Universal Desktop (UD) series multi-protocol thin clients, the IZ Series zero clients optimized for VDI environments, and the IGEL Universal Desktop Converter (UDC) which converts any x86-based endpoint, regardless of manufacturer or form factor, into an IGEL OS-powered desktop, all of which are managed through the industry-leading IGEL Universal Management Suite (UMS) software.
Dan Salinas, VP of Sales and Business Development, Lakeside Software, said: "Together, we are eliminating the guesswork when it comes to optimizing VDI rollouts and endpoint performance. By providing IT organizations with endpoint visibility into their EUC infrastructure, we are enabling them to benefit from a quantifiable experience that they can quantify and improve over time."
The Latest
Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...
For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...
The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...
SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...
Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...
In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ...
Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...
My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...
APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...
APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...