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Lack of Infrastructure Visibility Puts Businesses at Risk

Len Rosenthal

Most enterprises lack the complete visibility required to avoid business-impacting application outages and slowdowns – resulting in nearly 90 percent of enterprises being unable to consistently meet service level agreements (SLAs) for their business-critical applications, according to a recent survey conducted by Dimensional Research and Virtual Instruments. This research indicates a serious gap in IT operations teams' ability to monitor their enterprises' highly virtualized, multi-vendor hybrid data center environments, and the results show that this lack of visibility is significantly impacting business.

Blind Spots, Slowdowns and Outages Abound

59 percent of application outages and performance problems are related to infrastructure

The reality is that large enterprises endure a substantial number of application outages and performance issues every year, and an overwhelming number of those surveyed indicated that a slowdown impacts businesses just as much as a full outage.

86 percent of users experience two or more significant outages a year, with 61 percent suffering from four or more in the same period.

59 percent of application outages and performance problems are related to infrastructure, which begs the question: why can't IT teams see these problems coming, and what's getting in the way of timely resolution?

Too Many Cooks in the Kitchen

There are many dozens of infrastructure and application monitoring tools available to enterprises, so why does this visibility gap still exist?

This research showed that it's not necessarily a lack of tools that may be causing the problem, but rather the combination of too many silo-specific tools. In fact, more than 70 percent of respondents use more than five IT infrastructure monitoring tools, and 15 percent use more than 20!

But despite this plethora of tools, 54 percent of companies lack full visibility into their infrastructure and application workload behavior, and 42 percent of companies operate primarily in "reactive mode" when managing their infrastructure.

Teamwork Makes the Dream Work

When it comes to the modern enterprise, there's no single internal team that can accurately manage and assess application performance requirements. However, less than half of enterprises take a collaborative approach to establishing performance requirements for new data center infrastructure. With no collective understanding of how applications relate to the underlying infrastructure, the resulting blind spots cause chain reactions that leave enterprises highly exposed.

79 percent of application outages and other issues directly impact customers

Nearly 40 percent of enterprises say that performance issues related to infrastructure are the most challenging to resolve, and when you consider that 79 percent of application outages and other issues directly impact customers, there just isn't room for guessing.

Deeper Insights Are the Key

The lack of visibility and proactive infrastructure and application management contributes to a lack of confidence from IT teams and their executives. In fact, 62 percent doubt that their current infrastructure would be able to meet their projected performance needs in the next two years, and two-thirds of respondents feel that they're often held personally responsible for application outages and slowdowns.

In addition, with an increasing number of applications being deployed in public clouds, nearly 65 percent are concerned about the perceived value of the internal IT infrastructure team to the business.

As discouraging as these findings may seem, the numbers indicate a strong opportunity for engineering, operations and application teams to come together and gain a deeper understanding of the impact of their applications on the underlying infrastructure, and visa versa. Since applications and infrastructure are intertwined to the point where they can no longer be viewed as distinct entities, an infrastructure monitoring approach that understands application workload behavior is essential to performance assurance.

The bottom line is that in today's highly competitive business environment, enterprises cannot afford to test their customers' limited patience by having an unacceptable number of application outages or slowdowns.

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Lack of Infrastructure Visibility Puts Businesses at Risk

Len Rosenthal

Most enterprises lack the complete visibility required to avoid business-impacting application outages and slowdowns – resulting in nearly 90 percent of enterprises being unable to consistently meet service level agreements (SLAs) for their business-critical applications, according to a recent survey conducted by Dimensional Research and Virtual Instruments. This research indicates a serious gap in IT operations teams' ability to monitor their enterprises' highly virtualized, multi-vendor hybrid data center environments, and the results show that this lack of visibility is significantly impacting business.

Blind Spots, Slowdowns and Outages Abound

59 percent of application outages and performance problems are related to infrastructure

The reality is that large enterprises endure a substantial number of application outages and performance issues every year, and an overwhelming number of those surveyed indicated that a slowdown impacts businesses just as much as a full outage.

86 percent of users experience two or more significant outages a year, with 61 percent suffering from four or more in the same period.

59 percent of application outages and performance problems are related to infrastructure, which begs the question: why can't IT teams see these problems coming, and what's getting in the way of timely resolution?

Too Many Cooks in the Kitchen

There are many dozens of infrastructure and application monitoring tools available to enterprises, so why does this visibility gap still exist?

This research showed that it's not necessarily a lack of tools that may be causing the problem, but rather the combination of too many silo-specific tools. In fact, more than 70 percent of respondents use more than five IT infrastructure monitoring tools, and 15 percent use more than 20!

But despite this plethora of tools, 54 percent of companies lack full visibility into their infrastructure and application workload behavior, and 42 percent of companies operate primarily in "reactive mode" when managing their infrastructure.

Teamwork Makes the Dream Work

When it comes to the modern enterprise, there's no single internal team that can accurately manage and assess application performance requirements. However, less than half of enterprises take a collaborative approach to establishing performance requirements for new data center infrastructure. With no collective understanding of how applications relate to the underlying infrastructure, the resulting blind spots cause chain reactions that leave enterprises highly exposed.

79 percent of application outages and other issues directly impact customers

Nearly 40 percent of enterprises say that performance issues related to infrastructure are the most challenging to resolve, and when you consider that 79 percent of application outages and other issues directly impact customers, there just isn't room for guessing.

Deeper Insights Are the Key

The lack of visibility and proactive infrastructure and application management contributes to a lack of confidence from IT teams and their executives. In fact, 62 percent doubt that their current infrastructure would be able to meet their projected performance needs in the next two years, and two-thirds of respondents feel that they're often held personally responsible for application outages and slowdowns.

In addition, with an increasing number of applications being deployed in public clouds, nearly 65 percent are concerned about the perceived value of the internal IT infrastructure team to the business.

As discouraging as these findings may seem, the numbers indicate a strong opportunity for engineering, operations and application teams to come together and gain a deeper understanding of the impact of their applications on the underlying infrastructure, and visa versa. Since applications and infrastructure are intertwined to the point where they can no longer be viewed as distinct entities, an infrastructure monitoring approach that understands application workload behavior is essential to performance assurance.

The bottom line is that in today's highly competitive business environment, enterprises cannot afford to test their customers' limited patience by having an unacceptable number of application outages or slowdowns.

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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 ...