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VKernel Supports Red Hat Enterprise Virtualization With New Free Tool

VKernel announced availability of the free tool, vOPS Server Explorer, as a Red Hat Enterprise Virtualization virtual appliance.

vOPS Server Explorer assesses virtual machine performance, efficiency and capacity in an easy to download, simple to install virtual appliance.

VKernel’s vOPS Server Explorer uses the same analytics and advisory engine from the paid vOPS Server Standard product to provide virtual administrators with a rapid assessment of the state of their environment.

Customers use the product to:

- Identify critical VM configuration errors such as memory limits and old snapshots that will severely affect performance and can be especially hard to track down and solve.

- Recognize performance bottlenecks from high CPU ready, memory swapping, device latency and other causes.

- Detect inefficiency/waste created by VMs with CPU, memory and storage over allocation.

- Find available capacity expressed as the number of VMs that can be deployed without causing performance bottlenecks.

- Pinpoint oversubscription of CPU, memory and storage resources and whether the over-allocation is impacting performance.

- Search for a specific VMs using Google Like search capability.

Previously available for VMware and Hyper-V environments, this release marks vOPS Server Explorer availability for Red Hat Enterprise Virtualization environments and is designed to meet the growing installed base of Red Hat Enterprise Virtualization customers.

“vOPS Server Explorer provides Red Hat Enterprise Virtualization users with additional virtualization choice and flexibility and is an important addition to the Red Hat Enterprise Virtualization administrator’s management toolkit,” says Geert Jansen, Sr. Product Marketing Manager, Red Hat Enterprise Virtualization at Red Hat.

“VKernel wants to be part of the growing Red Hat Enterprise Virtualization market and we are excited to be the first vendor to offer free tools available for the Red Hat Enterprise Virtualization community" says Mattias Sundling, Evangelist, VKernel. “vOPS Server Explorer provides analysis and advice to Red Hat Enterprise Virtualization admins in their daily job which minimizes time to resolution.”

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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 ...

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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 ...

VKernel Supports Red Hat Enterprise Virtualization With New Free Tool

VKernel announced availability of the free tool, vOPS Server Explorer, as a Red Hat Enterprise Virtualization virtual appliance.

vOPS Server Explorer assesses virtual machine performance, efficiency and capacity in an easy to download, simple to install virtual appliance.

VKernel’s vOPS Server Explorer uses the same analytics and advisory engine from the paid vOPS Server Standard product to provide virtual administrators with a rapid assessment of the state of their environment.

Customers use the product to:

- Identify critical VM configuration errors such as memory limits and old snapshots that will severely affect performance and can be especially hard to track down and solve.

- Recognize performance bottlenecks from high CPU ready, memory swapping, device latency and other causes.

- Detect inefficiency/waste created by VMs with CPU, memory and storage over allocation.

- Find available capacity expressed as the number of VMs that can be deployed without causing performance bottlenecks.

- Pinpoint oversubscription of CPU, memory and storage resources and whether the over-allocation is impacting performance.

- Search for a specific VMs using Google Like search capability.

Previously available for VMware and Hyper-V environments, this release marks vOPS Server Explorer availability for Red Hat Enterprise Virtualization environments and is designed to meet the growing installed base of Red Hat Enterprise Virtualization customers.

“vOPS Server Explorer provides Red Hat Enterprise Virtualization users with additional virtualization choice and flexibility and is an important addition to the Red Hat Enterprise Virtualization administrator’s management toolkit,” says Geert Jansen, Sr. Product Marketing Manager, Red Hat Enterprise Virtualization at Red Hat.

“VKernel wants to be part of the growing Red Hat Enterprise Virtualization market and we are excited to be the first vendor to offer free tools available for the Red Hat Enterprise Virtualization community" says Mattias Sundling, Evangelist, VKernel. “vOPS Server Explorer provides analysis and advice to Red Hat Enterprise Virtualization admins in their daily job which minimizes time to resolution.”

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 ...