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Paessler Expands Monitoring Capabilities With New Business Process Sensor

Paessler AG released a new capability for PRTG Network Monitor that allows users to monitor the health of entire business processes, combining multiple sensors to gain insight into the availability and performance of critical operations.

PRTG Network Monitor boasts more than 200 out-of-the-box sensor types, used to monitor everything from routers and switches to virtual machines and more. Through these sensors, IT departments can gain a comprehensive overview of the performance and availability of their entire IT infrastructure by monitoring individual aspects of a device or service. With the addition of the Business Process Sensor, it is now possible to manage the health of entire business processes, gaining a view into a complex system rather than analyzing each individual aspect. Processes like websites, email, and other key business functions can be defined and monitored with this new capability.

With the Business Process Sensor, the availability and performance of a website can be monitored by combining the sensors that monitor load balancers, web servers and databases into one defined process. Within the specific process, users can define when they need to be alerted, and the severity of the alert, based on the functionality of each process. This minimizes alerts, giving users the ability to be notified only when an entire process is threatened, as opposed to an individual notification for each component.

"PRTG Network Monitor is built to be flexible and fit the many varying needs of today's IT administrators. With the Business Process Sensor, we're giving users the power to gain a simple overview of key business processes and a new way to monitor their infrastructure," said Andrew Cutting, Director, Channel Sales, North America at Paessler AG. "Downtime means lost productivity and potentially lost revenue. Critical business processes, like websites or email, need to stay available at all times. These new sensors make it even simpler for IT departments to keep their infrastructure up and running."

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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 ...

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Paessler Expands Monitoring Capabilities With New Business Process Sensor

Paessler AG released a new capability for PRTG Network Monitor that allows users to monitor the health of entire business processes, combining multiple sensors to gain insight into the availability and performance of critical operations.

PRTG Network Monitor boasts more than 200 out-of-the-box sensor types, used to monitor everything from routers and switches to virtual machines and more. Through these sensors, IT departments can gain a comprehensive overview of the performance and availability of their entire IT infrastructure by monitoring individual aspects of a device or service. With the addition of the Business Process Sensor, it is now possible to manage the health of entire business processes, gaining a view into a complex system rather than analyzing each individual aspect. Processes like websites, email, and other key business functions can be defined and monitored with this new capability.

With the Business Process Sensor, the availability and performance of a website can be monitored by combining the sensors that monitor load balancers, web servers and databases into one defined process. Within the specific process, users can define when they need to be alerted, and the severity of the alert, based on the functionality of each process. This minimizes alerts, giving users the ability to be notified only when an entire process is threatened, as opposed to an individual notification for each component.

"PRTG Network Monitor is built to be flexible and fit the many varying needs of today's IT administrators. With the Business Process Sensor, we're giving users the power to gain a simple overview of key business processes and a new way to monitor their infrastructure," said Andrew Cutting, Director, Channel Sales, North America at Paessler AG. "Downtime means lost productivity and potentially lost revenue. Critical business processes, like websites or email, need to stay available at all times. These new sensors make it even simpler for IT departments to keep their infrastructure up and running."

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.