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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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