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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.

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...