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Cloud Ahead – Managing Change in the New Normal

Employees are no longer bound to a physical desk in the office due to moving to the cloud
Dennis Damen
Login VSI

The cloud has recently proven to be a vital tool for many organizations to deal with the COVID-19 pandemic by enabling employees to work from home. To me, COVID-19 has clearly shown that work doesn't need to happen at the office. It has strengthened our belief that working from home is going to be the norm for many.

The move to the cloud introduces many technical challenges, even though we're taking away some of the complexity of maintaining an extensive IT infrastructure. But we're also adding a new layer of complexity to an already complex IT landscape. Besides the technical shift, we'll also see a change in responsibility and accountability.

The Desktop is Not the Hard Part

Imagine moving your desktops over to the Windows Virtual Desktop (WVD) or Citrix Cloud. All of a sudden, Microsoft or Citrix are responsible for delivering the desktop that runs your applications to support your business. How far does the responsibility of the vendor reach? Is it just the infrastructure, or are they also responsible for the applications' availability and performance? Am I — as an IT director — still accountable, and how can I provide insights about this?

At the same time, we see an ever-increasing rate of change. To be able to handle this increased rate of growth, an organization shouldn't merely lift and shift their workloads to the cloud. Instead, they should also review and modernize their operations. Agile and DevOps have been around for quite some time in the realm of software development. We believe organizations should also incorporate these concepts into their IT management processes so they can facilitate change instead of controlling it.

Modernize Change Management

Guaranteeing the availability and user experience of the digital workplace and, thus, with employees' productivity and the continuity of the company should be the highest priority. On the one hand, by supporting the change management process with data about the impact a change will have on production systems and automating change in the digital workplace. On the other hand, by continuously testing production environments, including desktop applications (whether in the Cloud) for availability and performance  and reporting on this clearly and simply.

Towards the future, we want to give substance to our "DevOps for Desktops" concept in which we want to plot the thinking of DevOps onto the digital workplace. Our vision is that deep integration of our automation and test platforms enables the customer to implement changes faster and with higher quality, both on-premises and in the cloud.

Dennis Damen is Sr. Product Manager at Login VSI

Hot Topics

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 ...

Cloud Ahead – Managing Change in the New Normal

Employees are no longer bound to a physical desk in the office due to moving to the cloud
Dennis Damen
Login VSI

The cloud has recently proven to be a vital tool for many organizations to deal with the COVID-19 pandemic by enabling employees to work from home. To me, COVID-19 has clearly shown that work doesn't need to happen at the office. It has strengthened our belief that working from home is going to be the norm for many.

The move to the cloud introduces many technical challenges, even though we're taking away some of the complexity of maintaining an extensive IT infrastructure. But we're also adding a new layer of complexity to an already complex IT landscape. Besides the technical shift, we'll also see a change in responsibility and accountability.

The Desktop is Not the Hard Part

Imagine moving your desktops over to the Windows Virtual Desktop (WVD) or Citrix Cloud. All of a sudden, Microsoft or Citrix are responsible for delivering the desktop that runs your applications to support your business. How far does the responsibility of the vendor reach? Is it just the infrastructure, or are they also responsible for the applications' availability and performance? Am I — as an IT director — still accountable, and how can I provide insights about this?

At the same time, we see an ever-increasing rate of change. To be able to handle this increased rate of growth, an organization shouldn't merely lift and shift their workloads to the cloud. Instead, they should also review and modernize their operations. Agile and DevOps have been around for quite some time in the realm of software development. We believe organizations should also incorporate these concepts into their IT management processes so they can facilitate change instead of controlling it.

Modernize Change Management

Guaranteeing the availability and user experience of the digital workplace and, thus, with employees' productivity and the continuity of the company should be the highest priority. On the one hand, by supporting the change management process with data about the impact a change will have on production systems and automating change in the digital workplace. On the other hand, by continuously testing production environments, including desktop applications (whether in the Cloud) for availability and performance  and reporting on this clearly and simply.

Towards the future, we want to give substance to our "DevOps for Desktops" concept in which we want to plot the thinking of DevOps onto the digital workplace. Our vision is that deep integration of our automation and test platforms enables the customer to implement changes faster and with higher quality, both on-premises and in the cloud.

Dennis Damen is Sr. Product Manager at Login VSI

Hot Topics

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 ...