Paessler AG announced that PRTG Network Monitor achieved VMware Ready status.
This designation indicates that after a detailed validation process, Paessler’s PRTG Network Monitor has achieved VMware’s highest level of endorsement and is supported on VMware vSphere 6.5 for production environments. VMware Ready solutions are tested and certified by VMware to make the best use of the company’s technology, meet or exceed stringent interoperability criteria and run flawlessly in production environments.
“We are pleased that PRTG qualifies for the VMware Ready logo, signifying to customers that it has met specific VMware interoperability standards and works effectively with VMware cloud infrastructure. This signifies to customers that PRTG can be deployed in production environments with confidence and can speed time to value within customer environments,” said Kristen Edwards, Director, Technology Alliance Partner Program, VMware.
The VMware Ready designation is offered through VMware’s Technology Alliance Partner (TAP) program, a program that aligns best-of-breed technology partners with VMware’s technology services, support, tools and expertise in order to deliver enhanced value to joint customers. Solutions and products that successfully pass VMware’s testing and review process are designated VMware Ready, are easily identifiable with the VMware Ready logo, and are listed in the VMware Solution Exchange (VSX).
Some of the many things pre-configured PRTG VMware sensors enable system administrators to do include:
· Plan their virtualization effort: Virtualizing systems without knowing their usual CPU and memory load, disk usage and network usage can lead to surprises. PRTG provides valuable insight into how any application utilizes network resources.
· Prevent server overloads: PRTG allows IT to quickly see if too many virtual machines are running on any single host and monitors the performance of ESX and ESXi servers, including fan rotations per minute, battery voltage and overall health status.
· Gauge the performance of virtual machines: PRTG displays a virtual machine’s CPU load, memory usage, disk read-and-write speed, and network transmission speed.
· Oversee data stores: Hard drive usage and other perimeters of data store health can be quickly viewed on the PRTG dashboard or checked independently as desired.
· Strengthen the quality of service: By monitoring their network, system administrators can confirm that they are making the most of their information technology assets, including their VMware solutions.
“The benefits of virtualization are well known, whether it’s to gain the ability to easily spin up additional network capacity, apply resources with greater flexibility, reduce energy consumption, lower maintenance costs, or simply utilize existing servers more effectively, but many system administrators at mid-sized enterprises and SMBs are needlessly intimidated by virtual environments,” said Greg Ross, Systems Engineer, North America, at Paessler. “With PRTG, network administrators can rest knowing that they have a real-time view of even the most extensive virtualized environment, and in that way gain the peace of mind that virtualization by its very nature delivers.”
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 ...