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Delivering Impressive End User Experiences in Citrix Xen Upgrades - But Not as an Afterthought!

Colin Macnab

The move to Citrix 7.X is in full swing. This has improved the centralizing of Management and reduction of costs, but End User Experience is becoming top of the business objectives list. However, delivering that is not something to be considered after the upgrade.

Citrix XenApp and XenDesktop have been around for many years, delivering IT Ops an essential ability to centrally manage and control costs of App and VDI delivery. The move to a new architecture in Xen 6.X accelerated deployments and now the move to the latest improvements in Xen 7.X is in full swing. We see this occurring globally, with generally good results.

However, during these last two upgrade cycles, we have also seen the Digital Transformation of businesses, making delivery of an impressive End User Experience (EUX) now one of the most important objectives of the upgrade process.

We also see most upgrades following the tried and trusted legacy approach of, first deployment rollout, then performance monitoring and management. Unfortunately this approach is self-conflicting, performance as an afterthought is a legacy approach that has not resolved performance issues well post deployment. If EUX is the primary or an important objective, then it needs to be part of the planning and deployment process at the start, to achieve the desired results.


Oops, you did not approach your upgrade that way and now the users are complaining, the business is complaining and your management urgently wants IT to explain what all the time and money was spent on without resolving all the inefficient waiting that is the core complaint. Waiting to logon, waiting to access Apps, waiting for responses, waiting for the screen to refresh. Waiting!

So, what to do to resolve this and deliver the performance that is now demanded by all? Often we see the application of legacy monitoring and management tools used in other parts of the stack to try to understand what the problems are. However, these tools were mostly architected before virtualization was part of the design remit. Recent revs to these tools cannot get past that initial architectural limitation, so they rarely resolve anything or present any new visibility into the issues. The waiting continues.

Citrix itself offers little to address these challenges, the recent End of Life of Edgesight was effectively their exit from addressing the subject. There are several third party Citrix tools available that do address the subject, but they generally all are platforms for viewing the commodity data streams from Citrix and other sources in a single pane, not a source of real EUX measurements. While this can present some interesting observations, it does not rescind the old maxim, "commodity data gets you commodity results."

There are a couple of tools that actually do try to measure performance, but they use synthetic transactions, which is another way at guessing what the EUX might be, not an actual measurement of the real transactions and experience.

However, in the end all these tools fall under the influence of the mistaken belief that in a dynamic, distributed, virtualized IT stack, it is possible to collect enough metrics on the availability of various silos of technology; Citrix Servers, CPU, Storage, Networking, etc. and other feeds to infer what the EUX will be. You cannot, there will never be enough data to find the correct real result. Worse, as these deployments grow more and more complex with DevOps continuously evolving the Apps, it is getting exponentially more complex to even attempt this approach.

Further, the third party tools available to monitor Citrix environments are confined to monitoring the Citrix silo only, a very incomplete and compartmentalized perspective. They provide large amount of data collected through API calls and PowerShell scripts from the underlying Citrix layers, but then require that subject matter experts review the logs after the fact and decipher the data to discover what is happening inside the Citrix silo.

Therefore, these are not real time solutions. These solutions also fail to provide end-to-end visibility through the complete stack and the breakdown of that end to end visibility hop-by-hop. As a result, they assist establishing the fact that the end-user experience degradations are not the result of the Citrix silo, but fail to identify the actual root cause.

In some cases, these tools advise that an end user experience is degrading, but do not provide the reason behind it. Knowing your end user is having a bad experience is important for the Citrix administrator, but not knowing why they are having a bad experience is very frustrating. Since delivering optimal end-user experience involves many hops and layers, just knowing that there is a degraded delivery still requires that the Citrix administrators drill down even further into the various segments of the delivery, if they need to understand the root cause. This is the primary reason why end-user experience remains an unsolved mystery in Citrix environments.

Colin Macnab is CEO and Founder at AppEnsure.

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Delivering Impressive End User Experiences in Citrix Xen Upgrades - But Not as an Afterthought!

Colin Macnab

The move to Citrix 7.X is in full swing. This has improved the centralizing of Management and reduction of costs, but End User Experience is becoming top of the business objectives list. However, delivering that is not something to be considered after the upgrade.

Citrix XenApp and XenDesktop have been around for many years, delivering IT Ops an essential ability to centrally manage and control costs of App and VDI delivery. The move to a new architecture in Xen 6.X accelerated deployments and now the move to the latest improvements in Xen 7.X is in full swing. We see this occurring globally, with generally good results.

However, during these last two upgrade cycles, we have also seen the Digital Transformation of businesses, making delivery of an impressive End User Experience (EUX) now one of the most important objectives of the upgrade process.

We also see most upgrades following the tried and trusted legacy approach of, first deployment rollout, then performance monitoring and management. Unfortunately this approach is self-conflicting, performance as an afterthought is a legacy approach that has not resolved performance issues well post deployment. If EUX is the primary or an important objective, then it needs to be part of the planning and deployment process at the start, to achieve the desired results.


Oops, you did not approach your upgrade that way and now the users are complaining, the business is complaining and your management urgently wants IT to explain what all the time and money was spent on without resolving all the inefficient waiting that is the core complaint. Waiting to logon, waiting to access Apps, waiting for responses, waiting for the screen to refresh. Waiting!

So, what to do to resolve this and deliver the performance that is now demanded by all? Often we see the application of legacy monitoring and management tools used in other parts of the stack to try to understand what the problems are. However, these tools were mostly architected before virtualization was part of the design remit. Recent revs to these tools cannot get past that initial architectural limitation, so they rarely resolve anything or present any new visibility into the issues. The waiting continues.

Citrix itself offers little to address these challenges, the recent End of Life of Edgesight was effectively their exit from addressing the subject. There are several third party Citrix tools available that do address the subject, but they generally all are platforms for viewing the commodity data streams from Citrix and other sources in a single pane, not a source of real EUX measurements. While this can present some interesting observations, it does not rescind the old maxim, "commodity data gets you commodity results."

There are a couple of tools that actually do try to measure performance, but they use synthetic transactions, which is another way at guessing what the EUX might be, not an actual measurement of the real transactions and experience.

However, in the end all these tools fall under the influence of the mistaken belief that in a dynamic, distributed, virtualized IT stack, it is possible to collect enough metrics on the availability of various silos of technology; Citrix Servers, CPU, Storage, Networking, etc. and other feeds to infer what the EUX will be. You cannot, there will never be enough data to find the correct real result. Worse, as these deployments grow more and more complex with DevOps continuously evolving the Apps, it is getting exponentially more complex to even attempt this approach.

Further, the third party tools available to monitor Citrix environments are confined to monitoring the Citrix silo only, a very incomplete and compartmentalized perspective. They provide large amount of data collected through API calls and PowerShell scripts from the underlying Citrix layers, but then require that subject matter experts review the logs after the fact and decipher the data to discover what is happening inside the Citrix silo.

Therefore, these are not real time solutions. These solutions also fail to provide end-to-end visibility through the complete stack and the breakdown of that end to end visibility hop-by-hop. As a result, they assist establishing the fact that the end-user experience degradations are not the result of the Citrix silo, but fail to identify the actual root cause.

In some cases, these tools advise that an end user experience is degrading, but do not provide the reason behind it. Knowing your end user is having a bad experience is important for the Citrix administrator, but not knowing why they are having a bad experience is very frustrating. Since delivering optimal end-user experience involves many hops and layers, just knowing that there is a degraded delivery still requires that the Citrix administrators drill down even further into the various segments of the delivery, if they need to understand the root cause. This is the primary reason why end-user experience remains an unsolved mystery in Citrix environments.

Colin Macnab is CEO and Founder at AppEnsure.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...