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VKernel Announces Integration Support with Microsoft System Center 2012

VKernel announced the release of integration compatibility between its vOPS Server product line and Microsoft System Center 2012.

This integration adds capabilities to Microsoft System Center 2012 to monitor multi-hypervisor environments through alerting for performance and capacity issues in virtual machines.

Microsoft has developed System Center as a "single pane of glass" where system administrators can access aggregated information about their physical and virtual environments to monitor and report on their data center infrastructure. In particular for virtual environments, System Center can aggregate high-level monitoring across multiple hypervisors into one console. The recently released System Center 2012 adds significant new functionality that supports data center management activities such as cloud deployment.

However, while System Center does have visibility into VM data, providing performance and capacity management results derived from VM data analytics are characteristics of products in a separate category. Such analytics are the core engine for virtualization management solutions and are necessary for in-depth performance and capacity management. It is these capabilities that vOPS Server, a virtualization management product, provides to Microsoft System Center via integration for VMs running on multiple hypervisors.

For those data centers that use Microsoft System Center to monitor both their physical and virtual environments and would like to expand their monitoring to cover more in-depth performance and capacity management capabilities, VKernel integrates VM alerting for VMware vSphere, Hyper-V and Red Hat Enterprise Virtualization (RHEV) virtual machines into Microsoft System Center. Specifically, this alerting provides alarms on existing or predicted VM performance or capacity issues into System Center Operations Manager (SCOM) and System Center Virtual Machine Manager (SCVMM).

This integration is accomplished with the use of Microsoft certified management packs that are auto-installed as part of the Microsoft System Center integration setup process. The end result is that VM administrators can continue to use Microsoft System Center as their main monitoring console, and gain a feed of performance and capacity alerts from their virtual machines. This integration is available from previous versions of System Center up to the latest 2012 release.

VKernel is a Microsoft System Center Alliance (SCA) partner and works with Microsoft to extend System Center management capabilities to VMware environments as well as to provide the best performance, cost and capacity management support for Microsoft Hyper-V environments. VKernel vOPS Server was chosen in 2010 to be the Microsoft Private Cloud Chargeback component.

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VKernel Announces Integration Support with Microsoft System Center 2012

VKernel announced the release of integration compatibility between its vOPS Server product line and Microsoft System Center 2012.

This integration adds capabilities to Microsoft System Center 2012 to monitor multi-hypervisor environments through alerting for performance and capacity issues in virtual machines.

Microsoft has developed System Center as a "single pane of glass" where system administrators can access aggregated information about their physical and virtual environments to monitor and report on their data center infrastructure. In particular for virtual environments, System Center can aggregate high-level monitoring across multiple hypervisors into one console. The recently released System Center 2012 adds significant new functionality that supports data center management activities such as cloud deployment.

However, while System Center does have visibility into VM data, providing performance and capacity management results derived from VM data analytics are characteristics of products in a separate category. Such analytics are the core engine for virtualization management solutions and are necessary for in-depth performance and capacity management. It is these capabilities that vOPS Server, a virtualization management product, provides to Microsoft System Center via integration for VMs running on multiple hypervisors.

For those data centers that use Microsoft System Center to monitor both their physical and virtual environments and would like to expand their monitoring to cover more in-depth performance and capacity management capabilities, VKernel integrates VM alerting for VMware vSphere, Hyper-V and Red Hat Enterprise Virtualization (RHEV) virtual machines into Microsoft System Center. Specifically, this alerting provides alarms on existing or predicted VM performance or capacity issues into System Center Operations Manager (SCOM) and System Center Virtual Machine Manager (SCVMM).

This integration is accomplished with the use of Microsoft certified management packs that are auto-installed as part of the Microsoft System Center integration setup process. The end result is that VM administrators can continue to use Microsoft System Center as their main monitoring console, and gain a feed of performance and capacity alerts from their virtual machines. This integration is available from previous versions of System Center up to the latest 2012 release.

VKernel is a Microsoft System Center Alliance (SCA) partner and works with Microsoft to extend System Center management capabilities to VMware environments as well as to provide the best performance, cost and capacity management support for Microsoft Hyper-V environments. VKernel vOPS Server was chosen in 2010 to be the Microsoft Private Cloud Chargeback component.

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 ...