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Paessler AG Introduces New Capabilities for PRTG Network Monitor

Paessler AG introduced new capabilities and versatility in application monitoring of its flagship PRTG Network Monitor solution.

In addition to delivering continuous statistics and alerts for all devices and direct network infrastructure, PRTG Network Monitor's pre-configured sensors for applications and services incorporate performance measures for these services into central monitoring operations. When applications or services are unreachable or thresholds are breached, IT is immediately alerted, not only as it relates to these services as a whole, but also individual aspects.

"While monitoring basic parameters across a network is vital, monitoring in greater detail is better," said Dirk Paessler, Paessler CEO. "As a versatile solution, PRTG Network Monitor adapts to users' needs, delivering detailed monitoring and immediate alerting to performance issues not only for all kind of devices in a network but also collocated information about application or service running in this network."

PRTG Network Monitor can track POP3, SMTP and IMAP server types with special sensors, ensuring their availability.

Additionally, specific sensors can monitor a Windows Exchange server's variety of mail queues, delivery times and latency, among other variables.

One dedicated sensor even shows the length of transport queues on 30 different queues on the Exchange server.

Paessler's solution's IMAP sensor, with its recently added filter options, enables administrators to monitor backups without the need to check individual emails each morning. Administrators need only configure backup software to send email to a dedicated mail account, which an IMAP sensor will regularly check by keywords or other parameters.

The solution also offers SharePoint and IIS monitoring, monitoring of Windows services as well as of all common data bases, including ADO interface support. Web applications can be monitored via several http sensors, preventing lost revenues caused by slow or inoperable websites.

Paessler offers more than 150 pre-configured types of PRTG sensors for centralized, multi-system monitoring in heterogeneous IT infrastructures. Customers can choose the most relevant sensors for their network environments, either through automatic network discovery or manually with the company's 3-Click Wizard.

Finally, "PRTG Maps" combine live monitoring status, graphs and tables of all sensors monitoring one application. This function leverages users' personalized layouts, as well as background graphics, custom icons, lines, custom HTML objects and photos

"System downtime and slow network performance of course impede productivity and negatively impact revenues," Paessler concluded. "When an application or any network service is compromised in any way, IT will know within seconds, preventing costly outages before they can inflict infrastructure and business damage."

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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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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Paessler AG Introduces New Capabilities for PRTG Network Monitor

Paessler AG introduced new capabilities and versatility in application monitoring of its flagship PRTG Network Monitor solution.

In addition to delivering continuous statistics and alerts for all devices and direct network infrastructure, PRTG Network Monitor's pre-configured sensors for applications and services incorporate performance measures for these services into central monitoring operations. When applications or services are unreachable or thresholds are breached, IT is immediately alerted, not only as it relates to these services as a whole, but also individual aspects.

"While monitoring basic parameters across a network is vital, monitoring in greater detail is better," said Dirk Paessler, Paessler CEO. "As a versatile solution, PRTG Network Monitor adapts to users' needs, delivering detailed monitoring and immediate alerting to performance issues not only for all kind of devices in a network but also collocated information about application or service running in this network."

PRTG Network Monitor can track POP3, SMTP and IMAP server types with special sensors, ensuring their availability.

Additionally, specific sensors can monitor a Windows Exchange server's variety of mail queues, delivery times and latency, among other variables.

One dedicated sensor even shows the length of transport queues on 30 different queues on the Exchange server.

Paessler's solution's IMAP sensor, with its recently added filter options, enables administrators to monitor backups without the need to check individual emails each morning. Administrators need only configure backup software to send email to a dedicated mail account, which an IMAP sensor will regularly check by keywords or other parameters.

The solution also offers SharePoint and IIS monitoring, monitoring of Windows services as well as of all common data bases, including ADO interface support. Web applications can be monitored via several http sensors, preventing lost revenues caused by slow or inoperable websites.

Paessler offers more than 150 pre-configured types of PRTG sensors for centralized, multi-system monitoring in heterogeneous IT infrastructures. Customers can choose the most relevant sensors for their network environments, either through automatic network discovery or manually with the company's 3-Click Wizard.

Finally, "PRTG Maps" combine live monitoring status, graphs and tables of all sensors monitoring one application. This function leverages users' personalized layouts, as well as background graphics, custom icons, lines, custom HTML objects and photos

"System downtime and slow network performance of course impede productivity and negatively impact revenues," Paessler concluded. "When an application or any network service is compromised in any way, IT will know within seconds, preventing costly outages before they can inflict infrastructure and business damage."

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...