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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

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 ...