Goliath Technologies announced the release of their new Goliath for VMware Horizon product suite.
This product provides a different approach to VMware Horizon monitoring that brings together VMware Horizon session data, end user experience, metrics from the underlying infrastructure, and proactive application availability monitoring into a single product and console. The result is a solution that delivers proactive anticipation, troubleshooting and prevention of end user experience issues.
Goliath Performance Monitor for VMware Horizon offers IT organizations a single console which provides visibility from the end user experience issues to system and network performance issues. The system tracks critical metrics through integration with the Blast & PCoIP protocols, logon duration, Application, Machine, and Host Performance – all in one view. The advantage of having this information in a single console and platform is that metrics are fully aligned and integrated to show correlation and isolate how performance or resource availability impacts end user experience.
“Goliath Performance Monitor is purpose-built to find and monitor common VMware Horizon and Infrastructure failure points in the most complex VMware Horizon environments,” said Raja Jadeja, SVP of Product Management, Goliath Technologies. “Our solution provides a single view of the entire end user experience. This encompasses the performance of their connection to the Horizon session as well as their logon duration — including a breakdown of each stage and policy, application, and machine performance. Previously, administrators needed to open multiple consoles and disparate modules to visualize key performance metrics from VMware vSphere and multiple versions of VMware Horizon. Goliath Performance Monitor provides administrators with a single, unified console to monitor and troubleshoot performance issues from the entire environment. Moreover, by having visibility into the other architectural components integrated together, the troubleshooting workflow presents correlated data in a clearly defined view, aligned by time to more quickly derive root cause.”
The Latest
Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...
Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...
One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...
As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...
Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...
The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...
Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...
Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to third party services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...
If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...
Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...