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Managing the Performance of Virtual Desktops Begins and Ends with the End-User

As server virtualization is becoming one of the fastest growing IT initiatives in the enterprise, organizations are looking to extend the benefits from these projects to new areas. As a result, they are looking to virtualize not only their servers and storage, but also to achieve similar benefits from virtualizing their desktops. For end-users, this means that their operation systems and software that used to be installed on their desktops are now being hosted in the datacenter and accessed across the network.

Desktop virtualization enables organizations to achieve some significant benefits, such as lower cost of procuring and managing corporate desktops, reduced downtime due to hardware failures and ease of software installs and updates. At the same time, desktop virtualization brings up new management challenges and organizations need a new set of capabilities to ensure that the benefits of desktop virtualization are achieved without deterioration in the quality of end-user experience.

With the emergence of virtualization technologies in the enterprise, virtualization management solutions are also becoming increasingly important and a number of technology vendors are specializing in managing virtual environments. Many of these tools do a very good job of monitoring transactions across different infrastructure tiers and help users with capacity planning, provisioning and chargebacks, but the strengths of a majority of these technologies are in the data center and they are taking more of an infrastructure centric approach when managing virtual desktop performance.

On the other side, there are very few enterprise IT technologies whose performance can impact end-users more than desktop virtualization. For that reason, organizations need to extend the capabilities of their virtualization management solutions to be able to monitor how the performance of virtual desktops is impacting the end-user.

This is not to say that solutions for managing virtual infrastructure are not that important for the performance of virtual desktops, but the value of these solutions increases if they can allow organizations to combine infrastructure-centric with end-user centric monitoring capabilities. It should be noted that some technology solutions are able to cover both aspects of desktop virtualization management and provide capabilities for monitoring both the virtual infrastructure and quality of end-user experience.

eG Innovations is a good example of this type of vendor, as it offers robust capabilities for monitoring the performance of a data center, as well as capabilities for monitoring end-user experience. The company provides capabilities for both synthetic (active) and real end-user monitoring (passive) and it is also integrated with Tevron, an application performance monitoring vendor.

However, there are different approaches to monitoring the end-user experience of IT services and many organizations are looking for more than just metrics around application availability and response times. Desktop-based solutions for end-user monitoring allow organizations to monitor speed and availability of applications, as well as to track usage patterns, measure and analyze the business impact of performance problems and performance variations across different locations, users and user groups. These types of solutions are provided by companies such as Aternity and Knoa Software and play a very important role in ensuring optimal levels of end-user experience for virtual desktops.

Organizations also need to be aware of the additional burden that virtual desktop traffic puts on their corporate networks (especially WAN). Organizations are tasked with not only ensuring that there is a sufficient amount of bandwidth available for these applications to be delivered to the end-user, but also they are challenged with the interactive nature of this traffic, which makes it more difficult to manage and prioritize.

Quality-of-Service (QoS) capabilities have been around for a while and they are one of the key enablers for addressing this problem on the network side, but it should be noted that QoS solutions that do not have application-level visibility or those that are not equipped with functionalities for managing interactive traffic might not be as effective in managing virtual desktop traffic.

Some of the vendors providing QoS capabilities that are effective in ensuring virtual desktop traffic has a priority over other applications and prevent performance bottlenecks on the network side include Expand Networks, Ipanema Technologies and Streamcore.

Organizations that are able to effectively manage the performance of virtual desktops are able to not only improve the quality of end-user experience, but also achieve the following business benefits:
• Prevent performance issues before they cause disruption of business processes
• Measure the business impact of their desktop virtualization initiatives
• Improve utilization of their enterprise infrastructure

In order to achieve these benefits, organizations need the right mix of technology capabilities in place, and also have to understand that their process for managing the performance of virtual desktops revolves around the end-user.

About Bojan Simic

Bojan Simic is the founder and Principal Analyst at TRAC Research, a market research and analyst firm that specializes in IT performance management. As an industry analyst, Bojan interviewed more than 2,000 IT and business professionals from end-user organizations and published more than 50 research reports. Bojan's coverage area at TRAC Research includes application and network monitoring, WAN management and acceleration, cloud and virtualization management, BSM and managed services.

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Managing the Performance of Virtual Desktops Begins and Ends with the End-User

As server virtualization is becoming one of the fastest growing IT initiatives in the enterprise, organizations are looking to extend the benefits from these projects to new areas. As a result, they are looking to virtualize not only their servers and storage, but also to achieve similar benefits from virtualizing their desktops. For end-users, this means that their operation systems and software that used to be installed on their desktops are now being hosted in the datacenter and accessed across the network.

Desktop virtualization enables organizations to achieve some significant benefits, such as lower cost of procuring and managing corporate desktops, reduced downtime due to hardware failures and ease of software installs and updates. At the same time, desktop virtualization brings up new management challenges and organizations need a new set of capabilities to ensure that the benefits of desktop virtualization are achieved without deterioration in the quality of end-user experience.

With the emergence of virtualization technologies in the enterprise, virtualization management solutions are also becoming increasingly important and a number of technology vendors are specializing in managing virtual environments. Many of these tools do a very good job of monitoring transactions across different infrastructure tiers and help users with capacity planning, provisioning and chargebacks, but the strengths of a majority of these technologies are in the data center and they are taking more of an infrastructure centric approach when managing virtual desktop performance.

On the other side, there are very few enterprise IT technologies whose performance can impact end-users more than desktop virtualization. For that reason, organizations need to extend the capabilities of their virtualization management solutions to be able to monitor how the performance of virtual desktops is impacting the end-user.

This is not to say that solutions for managing virtual infrastructure are not that important for the performance of virtual desktops, but the value of these solutions increases if they can allow organizations to combine infrastructure-centric with end-user centric monitoring capabilities. It should be noted that some technology solutions are able to cover both aspects of desktop virtualization management and provide capabilities for monitoring both the virtual infrastructure and quality of end-user experience.

eG Innovations is a good example of this type of vendor, as it offers robust capabilities for monitoring the performance of a data center, as well as capabilities for monitoring end-user experience. The company provides capabilities for both synthetic (active) and real end-user monitoring (passive) and it is also integrated with Tevron, an application performance monitoring vendor.

However, there are different approaches to monitoring the end-user experience of IT services and many organizations are looking for more than just metrics around application availability and response times. Desktop-based solutions for end-user monitoring allow organizations to monitor speed and availability of applications, as well as to track usage patterns, measure and analyze the business impact of performance problems and performance variations across different locations, users and user groups. These types of solutions are provided by companies such as Aternity and Knoa Software and play a very important role in ensuring optimal levels of end-user experience for virtual desktops.

Organizations also need to be aware of the additional burden that virtual desktop traffic puts on their corporate networks (especially WAN). Organizations are tasked with not only ensuring that there is a sufficient amount of bandwidth available for these applications to be delivered to the end-user, but also they are challenged with the interactive nature of this traffic, which makes it more difficult to manage and prioritize.

Quality-of-Service (QoS) capabilities have been around for a while and they are one of the key enablers for addressing this problem on the network side, but it should be noted that QoS solutions that do not have application-level visibility or those that are not equipped with functionalities for managing interactive traffic might not be as effective in managing virtual desktop traffic.

Some of the vendors providing QoS capabilities that are effective in ensuring virtual desktop traffic has a priority over other applications and prevent performance bottlenecks on the network side include Expand Networks, Ipanema Technologies and Streamcore.

Organizations that are able to effectively manage the performance of virtual desktops are able to not only improve the quality of end-user experience, but also achieve the following business benefits:
• Prevent performance issues before they cause disruption of business processes
• Measure the business impact of their desktop virtualization initiatives
• Improve utilization of their enterprise infrastructure

In order to achieve these benefits, organizations need the right mix of technology capabilities in place, and also have to understand that their process for managing the performance of virtual desktops revolves around the end-user.

About Bojan Simic

Bojan Simic is the founder and Principal Analyst at TRAC Research, a market research and analyst firm that specializes in IT performance management. As an industry analyst, Bojan interviewed more than 2,000 IT and business professionals from end-user organizations and published more than 50 research reports. Bojan's coverage area at TRAC Research includes application and network monitoring, WAN management and acceleration, cloud and virtualization management, BSM and managed services.

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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 ...

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 ...