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Understand What You're Paying For: How to Evaluate Software

Dirk Paessler

The technology landscape is littered with confusing terminology. Some of this comes from vendors chasing popular buzzwords, other times it's the fault of a 30,000-foot view approach to different categories.

The term "monitoring," for example, can mean any number of things, and while more specified terms like application performance monitoring, network performance monitoring, or infrastructure monitoring are supposed to narrow it down, there is often overlap and confusion into what is supposed to go where. This is common across many IT categories, especially once we involve major buzzwords like cloud or software-defined.

Compounding the confusion is the changing nature of software sales, maintenance and operation, with the addition of new delivery models, licensing models and service-level agreements. An IT administrator may have simple goals in mind, but they will have to navigate an increasingly complex world to accomplish them. With that in mind, here are several key areas to focus on when evaluating your next IT purchase.

Licensing

Purchasing software may seem like a simple task, but there are often unexpected hurdles, the first of which is licensing and payment models. The growth of the "as a service" model has displaced many traditional "pay upfront" models, but it's important to understand whether the software purchased is all-inclusive.

Many products on the market are made up of various components, for which numerous modules and add-ons are available. It is difficult to determine just what will actually be necessary in terms of additional software before you buy, and what's worse, there is often little clarity offered on behalf of the seller. Before you buy, be sure to understand exactly what is needed in a product feature set, and match that up with associated costs to do a true price evaluation.

Evaluation and Testing

In a perfect world, every software can be evaluated and tested with a full-featured trial version. That may not always be the case, and that needs to be considered when making any purchase. IT administrators need easy access to trials, technical papers, data sheets and other information, along with dedicated assistance from the vendor should they run into any problems during evaluation. That's a must, and if vendors don't offer it, that should stand out as a red flag.

During the evaluation phase, it's also important to take note of the implementation process. If there are numerous problems with installing and configuring a trial version of the software, it can almost be guaranteed that the full version will be even more difficult.

Implementation and Usability

Ideally, the evaluation phase is a good indicator of how successful implementation will be. Still, it's key to fully comprehend all the challenges that can come from a complete implementation, many of which can undermine the functionality of the product. In the network monitoring world, this is often where the delivery model of the software comes in, with SaaS models often having different outcomes than appliance models in terms of installation and configuration. Implementations that aren't lightweight and automatic create more opportunities for something to go wrong, and problems may not be immediately apparent.

Usability itself is difficult to vet, as one can't understand the full value of any software until they use it. Here, it's important to trust peer networks and dive into case studies and customer references. The media can play a valuable role here as well, including news outlets that still publish reviews.

Ultimately, software that goes unused is a massive loss in terms of both money and potential technical gains. Keeping these issues in mind can ensure a smooth and simple software acquisition process, one that will enable IT to be successful with the right tools at their side.

Dirk Paessler is CEO and Founder of Paessler AG.

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Understand What You're Paying For: How to Evaluate Software

Dirk Paessler

The technology landscape is littered with confusing terminology. Some of this comes from vendors chasing popular buzzwords, other times it's the fault of a 30,000-foot view approach to different categories.

The term "monitoring," for example, can mean any number of things, and while more specified terms like application performance monitoring, network performance monitoring, or infrastructure monitoring are supposed to narrow it down, there is often overlap and confusion into what is supposed to go where. This is common across many IT categories, especially once we involve major buzzwords like cloud or software-defined.

Compounding the confusion is the changing nature of software sales, maintenance and operation, with the addition of new delivery models, licensing models and service-level agreements. An IT administrator may have simple goals in mind, but they will have to navigate an increasingly complex world to accomplish them. With that in mind, here are several key areas to focus on when evaluating your next IT purchase.

Licensing

Purchasing software may seem like a simple task, but there are often unexpected hurdles, the first of which is licensing and payment models. The growth of the "as a service" model has displaced many traditional "pay upfront" models, but it's important to understand whether the software purchased is all-inclusive.

Many products on the market are made up of various components, for which numerous modules and add-ons are available. It is difficult to determine just what will actually be necessary in terms of additional software before you buy, and what's worse, there is often little clarity offered on behalf of the seller. Before you buy, be sure to understand exactly what is needed in a product feature set, and match that up with associated costs to do a true price evaluation.

Evaluation and Testing

In a perfect world, every software can be evaluated and tested with a full-featured trial version. That may not always be the case, and that needs to be considered when making any purchase. IT administrators need easy access to trials, technical papers, data sheets and other information, along with dedicated assistance from the vendor should they run into any problems during evaluation. That's a must, and if vendors don't offer it, that should stand out as a red flag.

During the evaluation phase, it's also important to take note of the implementation process. If there are numerous problems with installing and configuring a trial version of the software, it can almost be guaranteed that the full version will be even more difficult.

Implementation and Usability

Ideally, the evaluation phase is a good indicator of how successful implementation will be. Still, it's key to fully comprehend all the challenges that can come from a complete implementation, many of which can undermine the functionality of the product. In the network monitoring world, this is often where the delivery model of the software comes in, with SaaS models often having different outcomes than appliance models in terms of installation and configuration. Implementations that aren't lightweight and automatic create more opportunities for something to go wrong, and problems may not be immediately apparent.

Usability itself is difficult to vet, as one can't understand the full value of any software until they use it. Here, it's important to trust peer networks and dive into case studies and customer references. The media can play a valuable role here as well, including news outlets that still publish reviews.

Ultimately, software that goes unused is a massive loss in terms of both money and potential technical gains. Keeping these issues in mind can ensure a smooth and simple software acquisition process, one that will enable IT to be successful with the right tools at their side.

Dirk Paessler is CEO and Founder of Paessler AG.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...