
Paessler AG announced the launch of PRTG Enterprise Monitor for businesses that need to monitor large IT infrastructures with thousands of devices.
With the new PRTG Enterprise Monitor, Paessler offers a subscription-based licensing model tailored to large IT environments. These are licensed only by the number of sensors that are deployed across as many servers and locations as required, starting at 30,000 sensors.
Every license includes the monitoring of network performance, infrastructure, applications, databases, storage, virtual environments as well as medical infrastructures, shop floors or IoT setups. Failover functionality and unlimited polling engines are also included.
IT teams in large enterprise organizations, which are often responsible for multiple, locally distributed data centers, offices, subsidiaries and stores, can establish a central overview of their entire infrastructure with one single solution without the need for additional modules or add-ons.
PRTG Enterprise Monitor includes the ITOps Board, powered by Martello Technologies, which enhances the PRTG setup with a service-oriented, central overview also across multiple PRTG servers. It significantly reduces alert noise and adds advanced analytics and overall SLA (Service Level Agreement) monitoring and reporting.
In detail that means:
- Multi server dashboards: The ITOps Board displays data from one or multiple PRTG servers in central, easy to build real-time dashboards, based on services and according to the staff member’s role.
- Business service monitoring: The ITOps Board gathers alerts and notifications from one or multiple PRTG servers and correlates them by business services, offering a service-oriented, central overview.
- Automated alert management: Based on business services the ITOps Board filters and concentrates alerts, reducing and focusing alert noise to what really matters.
- SLA modelling and monitoring: ITOps Board defines SLOs (Service Level Objectives) for each defined business service. Based on these SLO settings it calculates and displays SLA performance and availability. It sends warnings before an SLA is breached, giving IT teams time to react and rectify, thereby avoiding serious SLA violation.
Beyond the ITOps Board and existing enterprise focused features like sensors for NetApp, Cisco or HPE devices, Paessler has already implemented new Nutanix sensors and added many other features to the PRTG Enterprise Monitor roadmap which fulfill the demands of IT teams for enterprise environments.
Helmut Binder, Paessler AG CEO: “With Paessler PRTG Enterprise Monitor we are enhancing PRTG with central, service-oriented dashboards and a flexible subscription-based licensing model which is ideal for horizontal scaling. Combining this with all the benefits of classic PRTG, including ease of use, simple licensing, and the broad feature set, PRTG Enterprise Monitor offers a powerful and affordable solution to monitor large IT environments in a lean and easy way. This way we continue to support our existing customer base with their growing network sizes and demands. And we offer a monitoring solution with an unprecedented feature set, usability and licensing for enterprise level IT teams.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...