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3 Ways to Improve Azure Virtual Desktop Performance

Amol Dalvi
Nerdio

As remote work becomes a standard business practice, virtual desktops continue to gain popularity as a primary means of delivering data and applications to end users. Azure Virtual Desktop (AVD), for example, is seeing strong adoption due to its ease of deployment and its portal which enables desktop and application management from one interface. Enterprises can also control costs since they pay for virtual servers only when desktops are running, and can scale in or out depending on desktop needs. A recent survey indicated over half of the respondents (58%) expected to have AVD technology in production within two years.

Like many emerging platforms, AVD is still in its early days and IT pros are evolving, as well, in their approach to deploying and managing the service. The platform is seeing strong traction among SMB market enterprises of less than 1,000 users who like the scalability and related cost control features.

While AVD is gaining traction, IT teams are looking for ways to better deliver application performance and satisfy the end user's expectations of seamless productivity. The survey found the two biggest complaints from IT pros are slow application performance (47%) and slow logons (40%). Supporting video calls, more efficient monitoring of all AVD elements and solving latency problems are among other key issues.

Stepping Up Virtual Machine Performance

End users are on the front lines of experiencing sluggish virtual desktop performance. If it takes what feels like forever to do a simple task like opening up Word or Excel, IT will get unwanted help desk calls. For example, if your end users in a specific department are running intensive workloads, such as graphic design, confirm they are getting the right number of resources in terms of virtual machine (VM) compute power by having the optimum number of users in any one AVD host pool.

Microsoft has a guide for sizing session host VMs that makes a good point that IT needs to continually monitor VM usage, sizing up and down accordingly. If there are no graphics processing units (GPU) or graphics-intensive workloads, it is also recommended to stay with smaller VMs since they can be more easily updated — another performance related practice. With fewer users on one VM, it is more likely IT will find no one signed on and can shut it down to make updates as necessary if they are manually managing the environment.

Accommodating Multi-Media Environments

Zoom, Teams, intensive graphics use, and eventually more metaverse style collaboration, are all driving more performance concerns about latency, cloud costs, and the ability to provide an end user experience expected by Gen Z and Gen Y workers.

Stop-and-start video screens, too long video downloads; these are some examples in which latency detracts from performance. Since so many meetings are now video conferencing it's a good practice to run load and stress scenarios to ensure the remote desktop session will have adequate bandwidth to provide a satisfying experience.

Latency and quality of multimedia transmission is also affected by the connection round trip time (RTT) from the current location, through the AVD service to the Azure region in which IT can deploy VMs. Check AVD's estimator to determine the lowest RTT relevant to your users' location and make session host adjustments as needed.

Lastly, consider GPUs for better performance in video, 3D design and other graphics applications. AVD GPU virtual machines will enable graphics accelerated rendering and help AVD end users be more efficient and productive.

Monitoring all Performance Aspects

Improving AVD performance, or for that matter, any critical platform, depends on diligent monitoring. AVD offers native tools for monitoring and there are also third-party options to enhance monitoring and management. According to the survey, almost half of the IT pros say they need end-to-end monitoring that includes session hosts, control plane and Azure AD.

Further efficiency can be gained by using tools with a central dashboard that can record and analyze data in usage, active users, session host, CPUs, and other metrics to view performance and potentially identify cost savings. IT can have a per-user view to identify latency, use patterns and pinpoint application delays hampering performance.

To better load balance, IT can also view VM performance to ensure the number of users per host session is at an optimum level. Applications themselves can be analyzed to better understand user behavior and resource allocation.

Focusing on Performance

While AVD is still somewhat in the early adoption phase, performance themes are beginning to emerge. Fine tuning the allocation of users per host session and supplying employees with supportive technology like GPUs will help to diminish latency issues. Constantly monitoring and testing for performance issues and syncing with user behavior will, in the long term, create a solid foundation for using virtual desktops — the emerging go-to solution for a remote workforce.

Amol Dalvi is VP, Product, at Nerdio

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3 Ways to Improve Azure Virtual Desktop Performance

Amol Dalvi
Nerdio

As remote work becomes a standard business practice, virtual desktops continue to gain popularity as a primary means of delivering data and applications to end users. Azure Virtual Desktop (AVD), for example, is seeing strong adoption due to its ease of deployment and its portal which enables desktop and application management from one interface. Enterprises can also control costs since they pay for virtual servers only when desktops are running, and can scale in or out depending on desktop needs. A recent survey indicated over half of the respondents (58%) expected to have AVD technology in production within two years.

Like many emerging platforms, AVD is still in its early days and IT pros are evolving, as well, in their approach to deploying and managing the service. The platform is seeing strong traction among SMB market enterprises of less than 1,000 users who like the scalability and related cost control features.

While AVD is gaining traction, IT teams are looking for ways to better deliver application performance and satisfy the end user's expectations of seamless productivity. The survey found the two biggest complaints from IT pros are slow application performance (47%) and slow logons (40%). Supporting video calls, more efficient monitoring of all AVD elements and solving latency problems are among other key issues.

Stepping Up Virtual Machine Performance

End users are on the front lines of experiencing sluggish virtual desktop performance. If it takes what feels like forever to do a simple task like opening up Word or Excel, IT will get unwanted help desk calls. For example, if your end users in a specific department are running intensive workloads, such as graphic design, confirm they are getting the right number of resources in terms of virtual machine (VM) compute power by having the optimum number of users in any one AVD host pool.

Microsoft has a guide for sizing session host VMs that makes a good point that IT needs to continually monitor VM usage, sizing up and down accordingly. If there are no graphics processing units (GPU) or graphics-intensive workloads, it is also recommended to stay with smaller VMs since they can be more easily updated — another performance related practice. With fewer users on one VM, it is more likely IT will find no one signed on and can shut it down to make updates as necessary if they are manually managing the environment.

Accommodating Multi-Media Environments

Zoom, Teams, intensive graphics use, and eventually more metaverse style collaboration, are all driving more performance concerns about latency, cloud costs, and the ability to provide an end user experience expected by Gen Z and Gen Y workers.

Stop-and-start video screens, too long video downloads; these are some examples in which latency detracts from performance. Since so many meetings are now video conferencing it's a good practice to run load and stress scenarios to ensure the remote desktop session will have adequate bandwidth to provide a satisfying experience.

Latency and quality of multimedia transmission is also affected by the connection round trip time (RTT) from the current location, through the AVD service to the Azure region in which IT can deploy VMs. Check AVD's estimator to determine the lowest RTT relevant to your users' location and make session host adjustments as needed.

Lastly, consider GPUs for better performance in video, 3D design and other graphics applications. AVD GPU virtual machines will enable graphics accelerated rendering and help AVD end users be more efficient and productive.

Monitoring all Performance Aspects

Improving AVD performance, or for that matter, any critical platform, depends on diligent monitoring. AVD offers native tools for monitoring and there are also third-party options to enhance monitoring and management. According to the survey, almost half of the IT pros say they need end-to-end monitoring that includes session hosts, control plane and Azure AD.

Further efficiency can be gained by using tools with a central dashboard that can record and analyze data in usage, active users, session host, CPUs, and other metrics to view performance and potentially identify cost savings. IT can have a per-user view to identify latency, use patterns and pinpoint application delays hampering performance.

To better load balance, IT can also view VM performance to ensure the number of users per host session is at an optimum level. Applications themselves can be analyzed to better understand user behavior and resource allocation.

Focusing on Performance

While AVD is still somewhat in the early adoption phase, performance themes are beginning to emerge. Fine tuning the allocation of users per host session and supplying employees with supportive technology like GPUs will help to diminish latency issues. Constantly monitoring and testing for performance issues and syncing with user behavior will, in the long term, create a solid foundation for using virtual desktops — the emerging go-to solution for a remote workforce.

Amol Dalvi is VP, Product, at Nerdio

Hot Topics

The Latest

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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 ...