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

Jerry Melnick

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

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.

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...