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Waste Not, Want Not - Raising VDI Performance at the Endpoint

Jeff Kalberg

A recent story in APMdigest revealed the amount of operational waste enterprises are experiencing as IT devotes significantly more time to performance issues related to digital transformation initiatives. The research study detailed in the story finds that IT professionals are losing over 2 hours every business day, or 522 hours per year. Study respondents noted a more complex technology environment was a leading culprit in these performance issues.

Complex technology isn't going away. In fact, more than likely, digital transformation will continue to add technical complexity. One area that enables enterprises to reduce complexity and streamline operations is their virtual desktop infrastructure (VDI). Virtualization is a linchpin of digital transformation and effectively optimizing an enterprise's VDI is essential to moving forward with digital technologies.

Delivering the best possible VDI performance means taking a fresh look at what "desktop" means today. The endpoint, or desktop, now can be a physical thin client, a software-defined thin client, a traditional laptop, a phone or tablet.

To reduce operational waste and achieve better performance across the desktop environment, consider these five actions:

1. Accommodating Self-Serve Access

Employees should be able to access certain applications without having to contact an IT help desk. Enabling "self-serve" application access, as appropriate, allows employees to access their personal desktop workspaces, and needed applications, without using valuable IT time.

However, there is a flip side to this: IT needs to control how far employees can take self-service. If employees are spending too much time onboarding more advanced applications, and less time being work-productive, then those applications may need to be controlled by IT.

2. Paying Attention to the Edge

Using centralized management software, IT can control and manage edge devices' use of applications residing in the data center.

For example, software managing thin clients can retrieve a user profile and populate the endpoint with applications that a user needs to be productive. This centralized approach can result in the economies of a single IT person managing as many as 30,000 endpoints – a great reduction in IT time and resources.

3. Thinking Software, not Hardware

Enterprises are moving away from endpoint hardware investments to software that supports the pace of digital transformation. Improving endpoint performance means being able to quickly onboard new employees, deliver custom configurations to a remote workforce using a variety of devices, and to quickly populate new applications for ready use. Endpoint software such as thin client firmware is a means of delivering profiles and applications via a single pane of glass, regardless of device.

4. Understanding User Expectations

Your average worker today wants to use many devices, with the expectation the device will deliver what they need to do their job. The "desktop" of today can range from software-driven thin clients to USB devices. Endpoint management must be able to manage all these devices, control application access and mitigate security risk. It is challenging since, for example, there are many versions of Android and iOS in use, with the threat that users are loading up applications that can pose risk to the network.

USB devices pose one solution, freeing the user from physical boundaries, yet delivering the desired level of endpoint security. A new employee, for example, can plug the device into their personal laptop, and securely receive the configuration and applications they need, without IT ever having to touch the device.

Enterprises are searching for these types of solutions that deliver an optimal user experience without adding to operational complexity.

5. Looking at the Bigger Picture

Getting ahead of digital transformation technology needs, and advancements, is critical to winning the digital game. The alternative is never really catching up with technology and being overwhelmed by the complex IT environments that are becoming standard today.

In the study of operational waste, IT professionals said, if they could reclaim those two hours a day, they would spend more time researching and deploying new systems/technologies.

Staying up to speed on virtualization technology is essential to digital transformation succeeding. Companiesmare innovating technology that plays right into the enablement of high VDI performance. Remote display technology that accommodates workers using graphics intensive applications is an example of delivering innovation that users expect. Freeing up IT time to continue to integrate these enhancements in the user experience has to be part of a thorough digital transformation.

Conclusion: Move Digital Transformation Forward with Optimized VDI

Enterprises are grappling with the challenges of digital transformation, from figuring out cloud deployment, data storage, and BYOD security threats to how to deliver an endpoint experience that optimizes performance.

These five actions will help IT deliver VDI performance that supports digital transformation initiatives. Improvements such as enabling workers to be more self-sufficient, and streamlining endpoint management will reduce operational waste, reduce both operational and capital expenditures, and maps to the market trend toward centralized endpoint management software that can accommodate a variety of devices.

Freeing up IT time will allow IT to better plan for more integration of digital technologies which in turn, increases the enterprise's competitive strength. After all, this is the purpose of digital transformation!

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Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

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Waste Not, Want Not - Raising VDI Performance at the Endpoint

Jeff Kalberg

A recent story in APMdigest revealed the amount of operational waste enterprises are experiencing as IT devotes significantly more time to performance issues related to digital transformation initiatives. The research study detailed in the story finds that IT professionals are losing over 2 hours every business day, or 522 hours per year. Study respondents noted a more complex technology environment was a leading culprit in these performance issues.

Complex technology isn't going away. In fact, more than likely, digital transformation will continue to add technical complexity. One area that enables enterprises to reduce complexity and streamline operations is their virtual desktop infrastructure (VDI). Virtualization is a linchpin of digital transformation and effectively optimizing an enterprise's VDI is essential to moving forward with digital technologies.

Delivering the best possible VDI performance means taking a fresh look at what "desktop" means today. The endpoint, or desktop, now can be a physical thin client, a software-defined thin client, a traditional laptop, a phone or tablet.

To reduce operational waste and achieve better performance across the desktop environment, consider these five actions:

1. Accommodating Self-Serve Access

Employees should be able to access certain applications without having to contact an IT help desk. Enabling "self-serve" application access, as appropriate, allows employees to access their personal desktop workspaces, and needed applications, without using valuable IT time.

However, there is a flip side to this: IT needs to control how far employees can take self-service. If employees are spending too much time onboarding more advanced applications, and less time being work-productive, then those applications may need to be controlled by IT.

2. Paying Attention to the Edge

Using centralized management software, IT can control and manage edge devices' use of applications residing in the data center.

For example, software managing thin clients can retrieve a user profile and populate the endpoint with applications that a user needs to be productive. This centralized approach can result in the economies of a single IT person managing as many as 30,000 endpoints – a great reduction in IT time and resources.

3. Thinking Software, not Hardware

Enterprises are moving away from endpoint hardware investments to software that supports the pace of digital transformation. Improving endpoint performance means being able to quickly onboard new employees, deliver custom configurations to a remote workforce using a variety of devices, and to quickly populate new applications for ready use. Endpoint software such as thin client firmware is a means of delivering profiles and applications via a single pane of glass, regardless of device.

4. Understanding User Expectations

Your average worker today wants to use many devices, with the expectation the device will deliver what they need to do their job. The "desktop" of today can range from software-driven thin clients to USB devices. Endpoint management must be able to manage all these devices, control application access and mitigate security risk. It is challenging since, for example, there are many versions of Android and iOS in use, with the threat that users are loading up applications that can pose risk to the network.

USB devices pose one solution, freeing the user from physical boundaries, yet delivering the desired level of endpoint security. A new employee, for example, can plug the device into their personal laptop, and securely receive the configuration and applications they need, without IT ever having to touch the device.

Enterprises are searching for these types of solutions that deliver an optimal user experience without adding to operational complexity.

5. Looking at the Bigger Picture

Getting ahead of digital transformation technology needs, and advancements, is critical to winning the digital game. The alternative is never really catching up with technology and being overwhelmed by the complex IT environments that are becoming standard today.

In the study of operational waste, IT professionals said, if they could reclaim those two hours a day, they would spend more time researching and deploying new systems/technologies.

Staying up to speed on virtualization technology is essential to digital transformation succeeding. Companiesmare innovating technology that plays right into the enablement of high VDI performance. Remote display technology that accommodates workers using graphics intensive applications is an example of delivering innovation that users expect. Freeing up IT time to continue to integrate these enhancements in the user experience has to be part of a thorough digital transformation.

Conclusion: Move Digital Transformation Forward with Optimized VDI

Enterprises are grappling with the challenges of digital transformation, from figuring out cloud deployment, data storage, and BYOD security threats to how to deliver an endpoint experience that optimizes performance.

These five actions will help IT deliver VDI performance that supports digital transformation initiatives. Improvements such as enabling workers to be more self-sufficient, and streamlining endpoint management will reduce operational waste, reduce both operational and capital expenditures, and maps to the market trend toward centralized endpoint management software that can accommodate a variety of devices.

Freeing up IT time will allow IT to better plan for more integration of digital technologies which in turn, increases the enterprise's competitive strength. After all, this is the purpose of digital transformation!

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...