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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

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...