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What is Unified Monitoring?

Dirk Paessler

Monitoring comes in many, many forms today: application, networking, infrastructure, data center, performance, virtual and now cloud. These terms pop up, often without distinction or acknowledgement that this new type of monitoring is not really new at all, but is rather a rehash of a much older “flavor” of monitoring. The explosion of terms to describe monitoring has more to do with the number of monitoring vendors, and more to the point, those vendors’ marketing departments, than it does with new forms of monitoring emerging.

Recently, the term “unified monitoring” has gained popularity, with both analysts and marketers pouncing on it aggressively. The idea that IT departments need to gain a “unified” view of their operations – all from a single pane of glass, no less – has been the underlying premise of many monitoring products. And while there certainly are some highly specialized tools that focus on specifics, NetFlow or packet sniffing for example, the majority of leading monitoring companies already provide comprehensive monitoring. For me, the question should always focus on what we as vendors can do to help the buy-side, and specifically, the overworked systems and network administrators of the world, and not how we can package and repackage our offerings.

There is nothing inherently wrong with the term unified monitoring – it is quite an accurate descriptor. What is wrong is how this term will become a banner for companies that don’t offer comprehensive monitoring, simply because the industry’s thought leaders and analysts have coalesced around it. When the technology industry, marketers and analyst community popularize new branding for existing products, inevitably there are companies with incomplete offerings that try to capitalize and, in doing so, confuse the marketplace.

From my perspective, there are four key qualifications for unified monitoring: the monitoring tool needs to be vendor neutral, scalable, provide a centralized view of the entire infrastructure including virtual environments, and support all of the most popular protocols. That’s a bit of a simplification, but those are the key requirements for a unified monitoring solution. Of course, these have long been the key requirements of a network or infrastructure monitoring tool as well.

What IT needs to hear is that monitoring will give them insight into their infrastructure, a watchful eye when they are away, and alerts that call their attention to issues before they become problems that impact the business. IT departments have an enormous responsibility, because today revenue generation depends on the smooth functioning of their IT infrastructure. Interruptions or delays in IT systems can cause serious damage to productivity and profitability. IT does not need more expressive terminology to combat this problem; they need assurances that monitoring tools will deliver real-time insight into their networks, servers and applications.

If we as vendors really want to help IT, we should do a better job articulating what we do, and truly tell it like it is – monitoring that can scale to your entire infrastructure and watch over it in real-time will help you do your job better. That’s the message they need to hear.

Dirk Paessler is CEO and Founder of Paessler AG.

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What is Unified Monitoring?

Dirk Paessler

Monitoring comes in many, many forms today: application, networking, infrastructure, data center, performance, virtual and now cloud. These terms pop up, often without distinction or acknowledgement that this new type of monitoring is not really new at all, but is rather a rehash of a much older “flavor” of monitoring. The explosion of terms to describe monitoring has more to do with the number of monitoring vendors, and more to the point, those vendors’ marketing departments, than it does with new forms of monitoring emerging.

Recently, the term “unified monitoring” has gained popularity, with both analysts and marketers pouncing on it aggressively. The idea that IT departments need to gain a “unified” view of their operations – all from a single pane of glass, no less – has been the underlying premise of many monitoring products. And while there certainly are some highly specialized tools that focus on specifics, NetFlow or packet sniffing for example, the majority of leading monitoring companies already provide comprehensive monitoring. For me, the question should always focus on what we as vendors can do to help the buy-side, and specifically, the overworked systems and network administrators of the world, and not how we can package and repackage our offerings.

There is nothing inherently wrong with the term unified monitoring – it is quite an accurate descriptor. What is wrong is how this term will become a banner for companies that don’t offer comprehensive monitoring, simply because the industry’s thought leaders and analysts have coalesced around it. When the technology industry, marketers and analyst community popularize new branding for existing products, inevitably there are companies with incomplete offerings that try to capitalize and, in doing so, confuse the marketplace.

From my perspective, there are four key qualifications for unified monitoring: the monitoring tool needs to be vendor neutral, scalable, provide a centralized view of the entire infrastructure including virtual environments, and support all of the most popular protocols. That’s a bit of a simplification, but those are the key requirements for a unified monitoring solution. Of course, these have long been the key requirements of a network or infrastructure monitoring tool as well.

What IT needs to hear is that monitoring will give them insight into their infrastructure, a watchful eye when they are away, and alerts that call their attention to issues before they become problems that impact the business. IT departments have an enormous responsibility, because today revenue generation depends on the smooth functioning of their IT infrastructure. Interruptions or delays in IT systems can cause serious damage to productivity and profitability. IT does not need more expressive terminology to combat this problem; they need assurances that monitoring tools will deliver real-time insight into their networks, servers and applications.

If we as vendors really want to help IT, we should do a better job articulating what we do, and truly tell it like it is – monitoring that can scale to your entire infrastructure and watch over it in real-time will help you do your job better. That’s the message they need to hear.

Dirk Paessler is CEO and Founder of Paessler AG.

Hot Topics

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...