
Paessler AG released the 100 sensor license of PRTG Network Monitor for free, giving home users, small business owners and startups the power to monitor their networks with a full version of the product at no cost.
Many IT administrators at small businesses and startup companies are struggling with the explosive growth of IT infrastructure. Smaller networks are not as vast as those in large enterprises, but they are every bit as complex, and are managed by much smaller IT staffs. With the advent of wearable devices, cloud services, and with more VMs than ever before, it is critical that IT administrators have visibility into their infrastructure. By offering PRTG 100 for free, Paessler is giving overtaxed IT staffs the ability to monitor their infrastructure in a simple and sophisticated way.
PRTG Network Monitor is full-featured at every license model, with no add-ons or modules needed. Paessler offers more than 200 sensor types - monitoring points used to track a specific URL, network traffic, a port of a switch, or the CPU load on a machine. Users will be able to take advantage of the full slate of PRTG's abilities and, with 100 sensors at their disposal, will be able to monitor a typical small business or startup deployment.
Additionally, those who download the 100 sensor license will also get to test drive an unlimited version of PRTG on a trial basis for 30 days.
"When I was looking for a suitable solution for network monitoring for myself eighteen years ago, I could not find anything that was easy to operate and offered an extensive set of features," said Dirk Paessler, founder and CEO of Paessler. "As a consequence, we started developing PRTG, always putting an emphasis on user-friendliness. Every user should be able to use PRTG in no time at all. Today, I am convinced that our software can be a tremendous help for every company, regardless of its size or sector. Of course it is a big step for us to offer a license for free, but I believe it is a gain for both sides. Administrators all over the world profit from full functionality, professional monitoring and optimization potential, while we are able to extend our installation base."
The PRTG Network Monitor 100 sensor license is available today.
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 ...