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One-Third of Businesses Depend on End Users to Report Application Performance Issues

Sridhar Iyengar

Nearly one out of every three businesses (32%) become aware of most application performance issues from their end users, according to the ManageEngine Application Performance Monitoring Survey 2015.

See Infographic Below

Given the relative maturity of the APM market, those numbers suggest quite a few IT teams still face basic APM challenges, including:

■ No monitoring solution in place - IT teams still do not have a monitoring solution in place or do not have a monitoring solution that is equipped to detect certain types of performance issues.

■ Monitoring solution is improperly configured - IT admins have not efficiently configured their monitoring. Others don’t follow APM best practices, e.g., setting threshold values that allow some performance variation and only trigger notifications when performance is unacceptable.

■ Not all applications are monitored - Businesses still do not use monitoring solutions to monitor their entire application set. Often, only those applications deemed critical by the IT team get monitored.

■ Not all APM problems are anticipated - IT teams test their applications during the QA stage and set up monitoring, but an unforeseen problem arises later when the application is in production, being used by real users.

The survey reveals that while more than half of those surveyed felt that the current set of APM tools provide end-user satisfaction, IT administrators still feel that there could be improvement, namely providing faster and easier answers to their troubleshooting and performance questions.

Other highlights from the IT professionals surveyed in North America and Europe include:

■ 59% trust monitoring tools to identify most performance deviations.

■ 28% use ad hoc scripts to detect issues in over 50 percent of their applications.

■ Resolution of application downtime and performance issues is time consuming - Many enterprises (81%) take up to 4 hours to resolve incidents of application outages. 60% of respondents reported they take up to 4 hours to repair application performance issues such as slow page loading.

■ Private cloud is still the preferred choice for hosting business-critical applications - 50% of respondents said they have the bulk of their business apps on the private cloud.

■ Public and hybrid cloud adoption is on the rise – The public cloud provides convenience and unmatched scalability. 20% of respondents said they have over 50% of their applications deployed on the public cloud. 20% of respondents said they have close to half of their deployments on a hybrid cloud and are considering increasing their hybrid cloud footprint.

■ Mobile access is on the rise – 70% of businesses indicated that most of their end users access enterprise applications through a Web interface, although access through mobile devices is on the rise.

Enterprise mobile apps have yet to reach the high performance and usability of consumer mobile apps. Most enterprises are at a nascent stage in their adoption of mobility, still figuring out how to start their app development in terms of tools, vendors, architectures or platforms. The increasing variety of devices available for users today - from smartphones and tablets to wearables - makes it a challenge for enterprise IT to develop and maintain mobile apps to suit their users’ needs.



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One-Third of Businesses Depend on End Users to Report Application Performance Issues

Sridhar Iyengar

Nearly one out of every three businesses (32%) become aware of most application performance issues from their end users, according to the ManageEngine Application Performance Monitoring Survey 2015.

See Infographic Below

Given the relative maturity of the APM market, those numbers suggest quite a few IT teams still face basic APM challenges, including:

■ No monitoring solution in place - IT teams still do not have a monitoring solution in place or do not have a monitoring solution that is equipped to detect certain types of performance issues.

■ Monitoring solution is improperly configured - IT admins have not efficiently configured their monitoring. Others don’t follow APM best practices, e.g., setting threshold values that allow some performance variation and only trigger notifications when performance is unacceptable.

■ Not all applications are monitored - Businesses still do not use monitoring solutions to monitor their entire application set. Often, only those applications deemed critical by the IT team get monitored.

■ Not all APM problems are anticipated - IT teams test their applications during the QA stage and set up monitoring, but an unforeseen problem arises later when the application is in production, being used by real users.

The survey reveals that while more than half of those surveyed felt that the current set of APM tools provide end-user satisfaction, IT administrators still feel that there could be improvement, namely providing faster and easier answers to their troubleshooting and performance questions.

Other highlights from the IT professionals surveyed in North America and Europe include:

■ 59% trust monitoring tools to identify most performance deviations.

■ 28% use ad hoc scripts to detect issues in over 50 percent of their applications.

■ Resolution of application downtime and performance issues is time consuming - Many enterprises (81%) take up to 4 hours to resolve incidents of application outages. 60% of respondents reported they take up to 4 hours to repair application performance issues such as slow page loading.

■ Private cloud is still the preferred choice for hosting business-critical applications - 50% of respondents said they have the bulk of their business apps on the private cloud.

■ Public and hybrid cloud adoption is on the rise – The public cloud provides convenience and unmatched scalability. 20% of respondents said they have over 50% of their applications deployed on the public cloud. 20% of respondents said they have close to half of their deployments on a hybrid cloud and are considering increasing their hybrid cloud footprint.

■ Mobile access is on the rise – 70% of businesses indicated that most of their end users access enterprise applications through a Web interface, although access through mobile devices is on the rise.

Enterprise mobile apps have yet to reach the high performance and usability of consumer mobile apps. Most enterprises are at a nascent stage in their adoption of mobility, still figuring out how to start their app development in terms of tools, vendors, architectures or platforms. The increasing variety of devices available for users today - from smartphones and tablets to wearables - makes it a challenge for enterprise IT to develop and maintain mobile apps to suit their users’ needs.



Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...