
Paessler AG and Fujitsu unveiled a partnership to help their customers more effectively monitor and manage their critical IT infrastructure.
The partnership is the culmination of continued collaboration that integrates Paessler’s PRTG Network Monitor with Fujitsu’s Software ServerView Suite, enabling efficient and simplified management of FUJITSU PRIMERGY and PRIMEQUEST servers.
PRTG is an all-in-one unified monitoring solution that makes it easy for system administrators to know what is happening across their entire IT infrastructure, including networks, systems, hardware, applications and devices, at any point in time. Highly customizable dashboards make it easy to monitor everything from the overall health of the network, to the performance of individual devices and granular details such as the speed of fans in individual servers. PRTG also alerts administrators when any pre-determined performance thresholds of their choosing are met - ensuring that they are the first to know if a problem arises.
Fujitsu’s Software ServerView Suite is a management tool and platform from Fujitsu that dramatically simplifies the administration of industry-standard servers and enables IT to manage them from one console. Providing everything needed to fully manage server lifecycles in a wide range of environments, the Software ServerView Suite covers all server assets, including those on premises, in the cloud and in virtualized environments.
Using the Software ServerView Suite, system administrators can quickly deploy, control, dynamize, maintain and integrate all of the servers under their control - all while ensuring that the business functions that rely on them benefit from a high-performance infrastructure. By integrating the platform with PRTG, the management of servers can now be orchestrated while simultaneously seeing what is happening across the IT infrastructure in its entirety, without the need of any plug-in to be downloaded.
“For the enterprises around the world that rely on Fujitsu and its PRIMERGY and PRIMEQUEST servers, and that manage them through the Software ServerView Suite, full integration with PRTG will bring the peace of mind that comes with knowing that they are monitored for optimal performance at all times,” said Christian Twardawa, CEO of Paessler AG. “As a result of this partnership, you can manage and monitor all of you servers from one console.”
Additional aspects of the partnership include:
- Paessler’s participation in the Fujitsu Alliance Program will enable Fujitsu’s partners to offer an all-in-one network monitoring solution that not only enables customers to oversee their Fujitsu IT infrastructure in its entirety, but also all of the networks, hardware, applications and devices that tap into it; and
- Paessler created purpose build sensors designed specifically to monitor the health and performance of Fujitsu’s PRIMERGY and PRIMEQUEST servers.
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.