
Goliath Technologies announced the availability of Goliath Performance Monitor 11.5. The latest release offers features that have never been available in a single product, solving a historically significant pain point for Citrix System Administrators.
“Citrix Systems Administrators want to be proactive in managing XenApp and XenDesktop environments. The difficulty is getting out in front of potential problems,” said Doug Brown MVP, CTP, vEXPERT and Founder of DABCC.
“With the release of 11.5, Goliath Technologies’ software has the functionality to actually anticipate end user performance issues. I like all the new features but the one that is really game changing for Citrix Administrators is the ability to initiate a Citrix logon process with a simulated user before real users even get to work, and then receive real-time alerts if the simulated user experiences a logon failure, logon slowness or session performance issues. I have never seen a product with this capability in all my years working with Citrix products. This release will create some happy Citrix Administrators.”
Until now, Citrix system administrators with responsibility for XenApp and XenDesktop had no way to anticipate the end-user experience and, therefore, were only able to be reactive to complaints from users. Goliath Performance Monitor 11.5 provides features such as Logon Simulation, Real-Time Logon Duration Analysis, and Real-Time ICA Channel Drilldown.
Now being truly proactive is achievable because Goliath gives Citrix Administrators the ability to create the same analysis for both real and simulated users by allowing administrators to proactively initiate user sessions with simulated users and analyze performance prior to real end users attempting to access their applications. This capability single-handedly ushers in a new era by providing Citrix Administrators with an unforeseen ability to be truly proactive and will materially improve the end user experience.
“When our Citrix System Administrators field calls from end users, generally the complaints are around logon initiation, the logon process, and session performance”, said Raja Jadeja, VP of Product Management at Goliath Technologies. “We listen intently to our customers and in the 11.5 release of the Goliath Performance Monitor, we have delivered on our commitment to get them ahead of what they commonly term “end user alerts.”
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...