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8 Signs You Have an IT Monitoring Visibility Gap

Mike Marks
Riverbed

When you look at key trends driving the IT market, it's clear that the end user is at the center of converged "next generation" computing services that integrate cloud, mobility, and virtualization. The average workforce user relies on at least 3 devices per day – their mobile phone while they commute to the office, their tablet as they wait in a conference room for a meeting to occur, and their desktop or laptop once they get back to the office.

And the workforce relies on a whole set of applications which may or may not be under IT's control – cloud-delivered apps like Office 365 or Salesforce.com, apps run in data centers owned by outsourcers, not to mention "Shadow IT" apps the user simply decides to download, bypassing the enterprise app store.

The opportunity is clear. IT must manage all of these technologies in a seamless way to ensure they deliver excellent service. To succeed, IT requires visibility into the end user experience as the workforce moves among these various applications and devices throughout their day.

The Challenge – The IT Monitoring Visibility Gap

If the opportunity is clear, so is the challenge to IT. Why is this a challenge? Much of the problem has to do with the siloed nature of most IT monitoring products. Most monitoring and management technology focuses on monitoring the performance and availability of the application components in the infrastructure. Application Performance Management and Systems Management tools focus on web servers, app servers, databases, and hosts. Network and Storage Management tools focus on routers, switches, gateways, and storage infrastructure. Virtual monitoring tools focus on the hypervisor and OS resources. And Mobile Device Management (MDM) and Mobile App Management (MAM) are focused on metrics and analytics having to do with mobile devices and apps, respectively.


The problem with this siloed approach to IT management is that it lacks the perspective of what the end-users, the workforce, are actually experiencing as they use applications to conduct business. These separate monitoring tools can all show "green" to the IT Ops team, indicating satisfactory component performance and availability, when in reality the workforce is still complaining because they are experiencing slow performance on their devices when executing critical business activities, like applying a credit, looking up a patient record, executing a trade, or using a mobile app in the field.

The reason the workforce is still complaining despite the fact that your data center management tools show everything green, is that you can't measure end user experience from the vantage point of the data center "looking out". You can only measure it from the end user's perspective "looking in". That's the primary reason for the "IT Monitoring Visibility Gap" – the gap between what your tools are telling you and what your users are experiencing.

Be Thankful for Those Complaining End Users

Despite the billion dollar a year market for system management tools, analysts like Forrester estimate that 70-80% of problems impacting the end users are not detected by IT. (Forrester IT is a Business Risk). So if you're in IT, you should be thankful if your users complain to you. At least you know you have a problem so you can resolve it. But what about those users who suffer in silence and don't complain to you? That's when the IT Monitoring Visibility Gap becomes really painful.

8 Signs You're Suffering from an IT Monitoring Visibility Gap

Without accurate, real-time information about how end users are actually experiencing and interacting with their applications, devices, and network, you are subject to suffering from an IT Monitoring Visibility Gap.

Mike Marks is VP of Product Marketing at Riverbed

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8 Signs You Have an IT Monitoring Visibility Gap

Mike Marks
Riverbed

When you look at key trends driving the IT market, it's clear that the end user is at the center of converged "next generation" computing services that integrate cloud, mobility, and virtualization. The average workforce user relies on at least 3 devices per day – their mobile phone while they commute to the office, their tablet as they wait in a conference room for a meeting to occur, and their desktop or laptop once they get back to the office.

And the workforce relies on a whole set of applications which may or may not be under IT's control – cloud-delivered apps like Office 365 or Salesforce.com, apps run in data centers owned by outsourcers, not to mention "Shadow IT" apps the user simply decides to download, bypassing the enterprise app store.

The opportunity is clear. IT must manage all of these technologies in a seamless way to ensure they deliver excellent service. To succeed, IT requires visibility into the end user experience as the workforce moves among these various applications and devices throughout their day.

The Challenge – The IT Monitoring Visibility Gap

If the opportunity is clear, so is the challenge to IT. Why is this a challenge? Much of the problem has to do with the siloed nature of most IT monitoring products. Most monitoring and management technology focuses on monitoring the performance and availability of the application components in the infrastructure. Application Performance Management and Systems Management tools focus on web servers, app servers, databases, and hosts. Network and Storage Management tools focus on routers, switches, gateways, and storage infrastructure. Virtual monitoring tools focus on the hypervisor and OS resources. And Mobile Device Management (MDM) and Mobile App Management (MAM) are focused on metrics and analytics having to do with mobile devices and apps, respectively.


The problem with this siloed approach to IT management is that it lacks the perspective of what the end-users, the workforce, are actually experiencing as they use applications to conduct business. These separate monitoring tools can all show "green" to the IT Ops team, indicating satisfactory component performance and availability, when in reality the workforce is still complaining because they are experiencing slow performance on their devices when executing critical business activities, like applying a credit, looking up a patient record, executing a trade, or using a mobile app in the field.

The reason the workforce is still complaining despite the fact that your data center management tools show everything green, is that you can't measure end user experience from the vantage point of the data center "looking out". You can only measure it from the end user's perspective "looking in". That's the primary reason for the "IT Monitoring Visibility Gap" – the gap between what your tools are telling you and what your users are experiencing.

Be Thankful for Those Complaining End Users

Despite the billion dollar a year market for system management tools, analysts like Forrester estimate that 70-80% of problems impacting the end users are not detected by IT. (Forrester IT is a Business Risk). So if you're in IT, you should be thankful if your users complain to you. At least you know you have a problem so you can resolve it. But what about those users who suffer in silence and don't complain to you? That's when the IT Monitoring Visibility Gap becomes really painful.

8 Signs You're Suffering from an IT Monitoring Visibility Gap

Without accurate, real-time information about how end users are actually experiencing and interacting with their applications, devices, and network, you are subject to suffering from an IT Monitoring Visibility Gap.

Mike Marks is VP of Product Marketing at Riverbed

Hot Topics

The Latest

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 ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...