Paessler announced its latest PRTG extension: Paessler PRTG Data Hub enables IT professionals and their organizations to reduce costs, optimize network traffic, and streamline compliance management.
By enabling IT professionals to filter and forward log data intelligently, it ensures seamless collaboration across ITOps, DevOps, SRE, and SecOps teams while addressing evolving regulatory demands.
PRTG Data Hub processes log data efficiently, allowing it to be filtered by protocol, severity, and relevance before being distributed to multiple endpoints, such as SIEM platforms, PRTG, or other analytics tools. This enables long-term storage and advanced analysis while reducing redundancies, lowering network traffic, and cutting overall logging costs. By simplifying audits and supporting regulations like NIS2, NIST, and TISAX, PRTG Data Hub bridges the gap between IT and security teams, fostering collaboration and ensuring compliance with industry standards.
As IT environments grow increasingly complex, the ability to manage syslog data effectively is essential. PRTG Data Hub’s filtering and forwarding capabilities empower organizations to focus on what matters most—storing high-severity logs securely while summarizing or discarding low-priority data. This targeted approach not only reduces storage costs but also minimizes network load, enabling IT departments to work more effectively with their security counterparts to address critical incidents quickly.
PRTG Data Hub ensures the immutability of log data during processing and forwarding, maintaining the integrity of sensitive information. By preserving this immutability, organizations can rely on tamper-proof records for compliance and audit purposes. This makes it easier to meet regulatory requirements and ensures that logs remain a trusted source of information across the enterprise.
“We listened to our customers’ needs and focused on delivering a solution that enhances efficiency, saves costs, and prepares them for the challenges of tomorrow’s IT landscape,” says Helmut Binder, CEO of Paessler GmbH. “PRTG Data Hub reduces logging overhead, enables seamless team collaboration, and helps organizations comply with complex regulations, all while expanding the functionalities of our products to deliver lasting value.”
PRTG Data Hub represents a significant step towards future-ready monitoring. By enhancing data collection, processing, and distribution capabilities, it simplifies log management while reducing infrastructure costs. The extension will officially launch in December 2024 for Linux systems, with Windows support planned for next year. PRTG Data Hub is included with PRTG subscription licenses of 2500 sensors or more.
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 ...