Paessler announced the acquisition of UVnetworks, the company behind UVexplorer and UVexplorer Server, a solution for network topology, inventory, and configuration backup.
PRTG, Paessler’s monitoring platform, provides real-time visibility across IT, OT, IoT, and cloud environments. The addition of UVexplorer extends the platform’s capabilities with automatic network topology, dependency visualization and configuration change tracking to deliver enhanced network context during incident investigations:
- Faster root cause identification through automated Layer 2, Layer 3, and port-level network topology mapping.
- Clear visibility into dependencies and impact by understanding upstream relationships and downstream effects across the environment.
- Continuous tracking of network changes through configuration backup, comparison, and change monitoring.
- Reduced operational complexity by bringing monitoring and network context together in a unified operational view.
Together, these capabilities help teams reduce mean time to resolution, minimize manual investigation, and prevent cascading outages before they impact business operations. In addition, the combined platform establishes a foundation for future AI-assisted root cause analysis and automated remediation workflows by providing the network context required to make monitoring systems more intelligent and actionable.
“Modern infrastructure is increasingly distributed, interconnected, and difficult to troubleshoot,” said Jason Teichman, CEO of Paessler. “Bringing UVexplorer into PRTG adds critical topology, dependency, and change intelligence directly into the monitoring workflows teams already rely on. With PRTG and UVexplorer, Paessler is building a more context-aware foundation for the next generation of AI-assisted monitoring and incident response.”
“Monitoring tells teams that something is wrong. Topology helps them understand why,” said Brian Kap, Co-founder of UVnetworks, who joins Paessler as Head of Network Discovery and Topology. “Bringing these capabilities together inside PRTG gives customers a single operational view of their environment and significantly accelerates incident investigation and response.”
UVexplorer is available immediately for Paessler PRTG customers. UVexplorer Server, designed for large and heavily distributed environments, is available for organizations requiring additional scale and network coverage.
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 ...