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VKernel Releases vOPS Server 5.0

VKernel has released vOPS Server 5.0, with new automation features that boost both efficiency and improve performance of virtualized infrastructures.

VKernel’s vOPS Server products now feature one-click auto-deployment of capacity reservations, automated risk assessment of VM configuration modifications, and automatic rollback capabilities for unauthorized environment changes.

The sheer complexity of today’s virtual environments must require some measure of controlled automation for effective management. With the release of vOPS Server 5.0, VKernel extends the automation capabilities found in previous versions and includes the ability to automatically deploy VMs based on capacity reservations already identified.

Previous versions of vOPS Server enabled the reservation of capacity for future VM deployments. vOPS Server 5.0 now allows for these virtual machine reservations to automatically trigger virtual machines deployments - successfully closing the capacity management process loop. These capabilities can also be connected to self-service cloud portals via API to enable automated cloud VM deployment processes.

vOPS Server 5.0 also features a new Change Analyzer module that is designed to collect, analyze and archive change data and then automatically assess the risk inherent in changes to the environment. The new Change Analyzer provides the auditing, tracking and risk assessment of the invisible hands in the data center while changes are made. Alarming is also available to alert users when high risk changes occur. vOPS Server 5.0 contains the capabilities to enable safe automation of the virtual data center.

vOPS Server 5.0 Change Analyzer tracks changes occurring within the virtual environment and allows for querying of where, when and who made the change. For many modifications, VM administrators can roll back the offending change with the click of a button.

Additional functionality in vOPS Server 5.0 includes:

- Configuration Management Capabilities – vOPS Server now tracks all changes in the virtual environment, allows for comparisons of VMs against other VMs, templates, or the same VM at other points in time and shows the impacts of changes on performance and capacity.

- Manual Overrides for Automated Rightsizing – Sizing recommendations for VM vCPUs and memory can now be overridden manually for specific VMs, and then implemented with rightsizing automation.

- Quick Start Dashboard – First-time vOPS Server users will be able to immediately solve issues through a dashboard that offers quick entry to the many functions inside vOPS.

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VKernel Releases vOPS Server 5.0

VKernel has released vOPS Server 5.0, with new automation features that boost both efficiency and improve performance of virtualized infrastructures.

VKernel’s vOPS Server products now feature one-click auto-deployment of capacity reservations, automated risk assessment of VM configuration modifications, and automatic rollback capabilities for unauthorized environment changes.

The sheer complexity of today’s virtual environments must require some measure of controlled automation for effective management. With the release of vOPS Server 5.0, VKernel extends the automation capabilities found in previous versions and includes the ability to automatically deploy VMs based on capacity reservations already identified.

Previous versions of vOPS Server enabled the reservation of capacity for future VM deployments. vOPS Server 5.0 now allows for these virtual machine reservations to automatically trigger virtual machines deployments - successfully closing the capacity management process loop. These capabilities can also be connected to self-service cloud portals via API to enable automated cloud VM deployment processes.

vOPS Server 5.0 also features a new Change Analyzer module that is designed to collect, analyze and archive change data and then automatically assess the risk inherent in changes to the environment. The new Change Analyzer provides the auditing, tracking and risk assessment of the invisible hands in the data center while changes are made. Alarming is also available to alert users when high risk changes occur. vOPS Server 5.0 contains the capabilities to enable safe automation of the virtual data center.

vOPS Server 5.0 Change Analyzer tracks changes occurring within the virtual environment and allows for querying of where, when and who made the change. For many modifications, VM administrators can roll back the offending change with the click of a button.

Additional functionality in vOPS Server 5.0 includes:

- Configuration Management Capabilities – vOPS Server now tracks all changes in the virtual environment, allows for comparisons of VMs against other VMs, templates, or the same VM at other points in time and shows the impacts of changes on performance and capacity.

- Manual Overrides for Automated Rightsizing – Sizing recommendations for VM vCPUs and memory can now be overridden manually for specific VMs, and then implemented with rightsizing automation.

- Quick Start Dashboard – First-time vOPS Server users will be able to immediately solve issues through a dashboard that offers quick entry to the many functions inside vOPS.

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 ...