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Goliath Introduces New Topology View for Citrix Monitoring and Troubleshooting

Goliath Technologies announced new functionality to monitor and troubleshoot the entire IT infrastructure whether on-premises or in the cloud – the New Topology View for Citrix Monitoring and Troubleshooting.

The new capability enables an IT administrator to view their entire global hybrid IT infrastructure from a single pane of glass whether it is on-premises and/or in Amazon AWS or Microsoft Azure.

The admin will receive alert notifications and warnings right from this view to understand the physical and relational dynamic between the IT elements emitting the alerts. Then, the administrator can drill into additional layers of the Citrix IT stack down to the individual Citrix user session. Topology view does not require manual intervention to populate the architecture map or to add metrics. The setup process is automated via API integration.

“This new functionality fills a tremendous gap that exists in the market when it comes to proactively managing a Citrix deployment, especially if some assets are cloud based,” said Raja Jadeja, VP of Product Management at Goliath Technologies. “A dependency based topology view and the ability to drill down is nothing new to IT in general. However we created ours to identify not just the problems affecting one or a small group of users, but rather the global conditions affecting hundreds and thousands of users, with a single glance. The Topology correlates end user experience and resource usage metrics at each layer from Delivery Group to Cluster to understand how ICA RTT and CPU Ready is related to slowness affecting users being delivered one enterprise application, and network latency from on-premises datacenters is doubling logins for branch office users versus logins going to the Cloud, for instance. From there we can drill down to user sessions to track HDX Channel usage to understand how that affects user behavior. Distributed Citrix architectures are challenging enough but with hybrid IT complexity is increased. This capability will make it easier for Citrix customers to be proactive and stay ahead of user complaints. And, if they do happen, and they will, we can help decrease time to remediation.”

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Goliath Introduces New Topology View for Citrix Monitoring and Troubleshooting

Goliath Technologies announced new functionality to monitor and troubleshoot the entire IT infrastructure whether on-premises or in the cloud – the New Topology View for Citrix Monitoring and Troubleshooting.

The new capability enables an IT administrator to view their entire global hybrid IT infrastructure from a single pane of glass whether it is on-premises and/or in Amazon AWS or Microsoft Azure.

The admin will receive alert notifications and warnings right from this view to understand the physical and relational dynamic between the IT elements emitting the alerts. Then, the administrator can drill into additional layers of the Citrix IT stack down to the individual Citrix user session. Topology view does not require manual intervention to populate the architecture map or to add metrics. The setup process is automated via API integration.

“This new functionality fills a tremendous gap that exists in the market when it comes to proactively managing a Citrix deployment, especially if some assets are cloud based,” said Raja Jadeja, VP of Product Management at Goliath Technologies. “A dependency based topology view and the ability to drill down is nothing new to IT in general. However we created ours to identify not just the problems affecting one or a small group of users, but rather the global conditions affecting hundreds and thousands of users, with a single glance. The Topology correlates end user experience and resource usage metrics at each layer from Delivery Group to Cluster to understand how ICA RTT and CPU Ready is related to slowness affecting users being delivered one enterprise application, and network latency from on-premises datacenters is doubling logins for branch office users versus logins going to the Cloud, for instance. From there we can drill down to user sessions to track HDX Channel usage to understand how that affects user behavior. Distributed Citrix architectures are challenging enough but with hybrid IT complexity is increased. This capability will make it easier for Citrix customers to be proactive and stay ahead of user complaints. And, if they do happen, and they will, we can help decrease time to remediation.”

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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 ...

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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 ...

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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 ...