Optimizing Applications in VMware Still Problematic, Time-Consuming and Inaccurate

Jerry Melnick
Learn more about SIOS Technology

While VMware presents many opportunities for organizations of all sizes, it is not without its own challenges. As more companies begin to adopt this technology, IT pros are tasked to protect and ensure the efficiency of their business-critical applications that live in these virtual environments. A recent survey conducted by SIOS Technology aimed to understand the challenges IT teams of small and medium enterprises. The results of the survey showed that IT teams are struggling to optimize VMware infrastructures, experiencing issues around managing multiple tools and resolving issues quickly and with accuracy.

IT Teams Use Multiple Tools to Identify Problems in VMware Environments

Of the 518 IT pros surveyed, 78 percent indicated they are using multiple tools — including application monitoring, reporting, and infrastructure analytics solutions — to identify the root cause of application performance issues in VMware. This method of uncovering issues in silos isn't sustainable for IT pros who are under pressure to quickly identify and resolve issues. Whether it's a small team that has to bounce between multiple IT-related tasks in a day, or a larger team that has to come together to communicate and understand issues, having to review metrics from multiple tools is proving to be ineffective. To increase efficiencies in managing virtual environments, IT teams should seek solutions that provide a holistic view of their virtual environment.

Guesswork Involved in Resolving Application Performance Issues

The results of the survey indicated that uncovering the root cause of performance issues remains a mystery to IT teams. Of those surveyed, only 20 percent of IT pros stated that they believe their strategy to resolve application performance issues in VMware are 100 percent accurate. Furthermore, 7 percent of respondents would categorize the strategies used to identify and resolve issues as an "educated guess." Across the board, it's rare for IT teams to have confidence around their approaches to resolving application performance issues in virtual infrastructures.

IT Teams Waste Time and Resources When Solving Application Performance Issues

Ensuring that virtual environments are optimized is taking a toll on IT team time and resources. Although respondents stated they are using multiple tools, it seems they are not effective in empowering IT teams to resolve issues fast. More than half of the IT pros surveyed stated that they face application performance issues every month, and 44 percent indicated that it can take three hours or more to solve these problems. These issues cause significant interruptions, which is especially problematic for smaller IT teams who are being pulled in many directions. For larger IT groups, having to pull in multiple disciplines to come to a resolution ends up draining time.

How to Overcome These Challenges

The survey results reveal that when it comes to leveraging VMware for business critical applications, there are many obstacles for IT teams in ensuring these systems are running effectively. Modern IT analytics solutions that use machine learning to provide accurate recommendations can drastically reduce the time and effort that companies are spending on delivering critical application services, by focusing on knowledge discovery versus reporting metrics.

Jerry Melnick is President and CEO of SIOS Technology.

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Optimizing Applications in VMware Still Problematic, Time-Consuming and Inaccurate

Jerry Melnick
Learn more about SIOS Technology

While VMware presents many opportunities for organizations of all sizes, it is not without its own challenges. As more companies begin to adopt this technology, IT pros are tasked to protect and ensure the efficiency of their business-critical applications that live in these virtual environments. A recent survey conducted by SIOS Technology aimed to understand the challenges IT teams of small and medium enterprises. The results of the survey showed that IT teams are struggling to optimize VMware infrastructures, experiencing issues around managing multiple tools and resolving issues quickly and with accuracy.

IT Teams Use Multiple Tools to Identify Problems in VMware Environments

Of the 518 IT pros surveyed, 78 percent indicated they are using multiple tools — including application monitoring, reporting, and infrastructure analytics solutions — to identify the root cause of application performance issues in VMware. This method of uncovering issues in silos isn't sustainable for IT pros who are under pressure to quickly identify and resolve issues. Whether it's a small team that has to bounce between multiple IT-related tasks in a day, or a larger team that has to come together to communicate and understand issues, having to review metrics from multiple tools is proving to be ineffective. To increase efficiencies in managing virtual environments, IT teams should seek solutions that provide a holistic view of their virtual environment.

Guesswork Involved in Resolving Application Performance Issues

The results of the survey indicated that uncovering the root cause of performance issues remains a mystery to IT teams. Of those surveyed, only 20 percent of IT pros stated that they believe their strategy to resolve application performance issues in VMware are 100 percent accurate. Furthermore, 7 percent of respondents would categorize the strategies used to identify and resolve issues as an "educated guess." Across the board, it's rare for IT teams to have confidence around their approaches to resolving application performance issues in virtual infrastructures.

IT Teams Waste Time and Resources When Solving Application Performance Issues

Ensuring that virtual environments are optimized is taking a toll on IT team time and resources. Although respondents stated they are using multiple tools, it seems they are not effective in empowering IT teams to resolve issues fast. More than half of the IT pros surveyed stated that they face application performance issues every month, and 44 percent indicated that it can take three hours or more to solve these problems. These issues cause significant interruptions, which is especially problematic for smaller IT teams who are being pulled in many directions. For larger IT groups, having to pull in multiple disciplines to come to a resolution ends up draining time.

How to Overcome These Challenges

The survey results reveal that when it comes to leveraging VMware for business critical applications, there are many obstacles for IT teams in ensuring these systems are running effectively. Modern IT analytics solutions that use machine learning to provide accurate recommendations can drastically reduce the time and effort that companies are spending on delivering critical application services, by focusing on knowledge discovery versus reporting metrics.

Jerry Melnick is President and CEO of SIOS Technology.

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For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

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For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Enterprise Resilience: Understanding the Shift from Static to Dynamic

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile Users Expect Perfection in 2026

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

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AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...