
eG Innovations announced the expansion of its free online eG Enterprise Express SaaS solution to help VDI-driven organizations quickly identify and remediate logon issues that negatively affect the user experience and business productivity.
eG Enterprise Express Logon Simulator for Citrix and VMware Horizon now provides any VMware Horizon administrator with a no-risk, powerful "synthetic" monitoring tool to track logon performance, whether hosted on premise, in the cloud, or in a hybrid environment.
“Slow logon performance has been one of the most challenging user complaints that VDI administrators and support teams have to deal with,” said Srinivas Ramanathan, CEO, eG Innovations. “When a user logs on to a virtual desktop, there are many interactions that need to occur between different infrastructure elements. A slow-down anywhere in the infrastructure – the VMware Connection Server, the vSphere ESX servers, VMware vCenter, storage, Active Directory, profile servers, etc. – can result in slow logons. VDI administrators must be able to detect such situations proactively and resolve them. 24x7 simulation and alerting on virtual desktop logon failures provides VDI administrators with exactly what they need to proactively detect and fix such issues, and thereby ensure a great user experience”.
With this new release, organizations can now use the eG Enterprise Express free logon simulator to monitor desktop and application virtualization infrastructures running on either VMware Horizon or Citrix XenApp and XenDesktop.
eG Enterprise Express allows administrators to continuously simulate the exact same steps that users take to log on to the VMware Horizon environment. Administrators can receive real-time alerts, analyze performance over time and generate SLA reports using a web browser. A mobile app providing on-the-go access is also available.
“We’re pleased to offer this capability as a free resource for VMware Horizon admins everywhere, to help make their job easier and improve their users’ experience” said Ramanathan.
This SaaS solution can be set up in minutes and is being offered free of charge forever. A simple website signup is the only requirement to get started.
Features:
- Synthetic logon simulation tool for monitoring, diagnosis, alerting and reporting of VMware Horizon logon performance
- Tracks every step of the Horizon logon process (browser access, authentication, enumeration, session establishment, and application launch), and pinpoints which step is causing logon slowdown
- Proactively diagnoses logon issues before users are affected
- Supports logon simulation for both virtualized applications and desktops
- Tests if the entire VMware Horizon delivery infrastructure is working in concert
- Quick SaaS deployment – up and running in minutes
- Web-based monitoring console
- Intuitive dashboards for logon performance monitoring
- 7-day historical reporting allows analyzing performance trends
- Optimized for VMware Horizon 7.x environments
The eG Enterprise Express Free Logon Simulator for Citrix and VMware Horizon is available now.
On-site at VMworld 2017 US in Las Vegas: Get a live demo of eG Enterprise Express in booth #825, and register to win a Google Home.
The Latest
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 ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...