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Virtana Unveils CloudMonitor

Virtana announced the release of Virtana CloudMonitor, a new product capability that reduces the complexity of monitoring and managing hybrid IT environments across on-premises, colocation, and public cloud workloads.

This offering expands Virtana's presence in a new segment defined by Gartner called Digital Platform Conductor (DPC) tools. DPC tools are core to IT operations management (ITOM).

Virtana CloudMonitor changes how businesses obtain an end-to-end SaaS-based global panoramic view of their hybrid infrastructure, enabling them to get the most out of their multi-vendor computing, networking, storage, cloud, virtual machines (VM), containers, databases, and more in hybrid and multi-cloud IT infrastructure environments.

With CloudMonitor, customers realize rapid improvements to mean-time-to-detect (MTTD), decreasing their mean-time-to-resolution (MTTR) by an average of 90%.

CloudMonitor also helps organizations make better decisions about their infrastructure investments and ensure they have adequate capacity to support growth and performance without sacrificing IT budgets.

CloudMonitor provides organizations with a global view of their estate and delivers insights as a part of the Virtana SaaS platform. With CloudMonitor, organizations can now stream data, including usage rates and alarm occurrences for applications, from multiple infrastructure types, eliminating individual data silos and simplifying how IT leaders monitor their hybrid environment.

With Virtana's unified CloudMonitor solution, IT leaders can:

- Detect which parts of their infrastructure support their mission-critical applications, thereby identifying their most critical infrastructure.

- Proactively plan for capacity needs and avoid overprovisioning hardware infrastructure by purchasing what they need, reducing infrastructure spend by approximately 15%.

- Provide centralized visibility and management of an organization's entire on-premises infrastructure.

- Reduce mean-time-to-detect (MTTD) by an average of 95%, empowering IT to discover and correct anomalies before they become issues.

- Up-level alarm occurrence data for each application and components related to an application.

- Enable faster mean-time-to-resolution (MTTR) by an average of 90%, so critical applications can stay available for longer periods of time.

"The extension of Virtana Infrastructure Performance Management (IPM) with CloudMonitor provides our customers with an unmatched solution that delivers a centralized, panoramic view of their hybrid, multi-vendor, and multi-cloud infrastructure. With CloudMonitor, our technology partners and channels can accelerate their as-a-service offerings as enterprise customers strive to innovate and succeed in highly complex multi-vendor and multi-cloud environments," said Kash Shaikh, President and CEO of Virtana.

Kash added, "CloudMonitor accelerates the rate businesses can innovate within their competitive industries and helps simplify and optimize their hybrid-platform environment. This new capability gives our customers unparalleled panoramic observability across on-premises and public clouds, making it easier than ever to get more from their existing infrastructure."

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Virtana Unveils CloudMonitor

Virtana announced the release of Virtana CloudMonitor, a new product capability that reduces the complexity of monitoring and managing hybrid IT environments across on-premises, colocation, and public cloud workloads.

This offering expands Virtana's presence in a new segment defined by Gartner called Digital Platform Conductor (DPC) tools. DPC tools are core to IT operations management (ITOM).

Virtana CloudMonitor changes how businesses obtain an end-to-end SaaS-based global panoramic view of their hybrid infrastructure, enabling them to get the most out of their multi-vendor computing, networking, storage, cloud, virtual machines (VM), containers, databases, and more in hybrid and multi-cloud IT infrastructure environments.

With CloudMonitor, customers realize rapid improvements to mean-time-to-detect (MTTD), decreasing their mean-time-to-resolution (MTTR) by an average of 90%.

CloudMonitor also helps organizations make better decisions about their infrastructure investments and ensure they have adequate capacity to support growth and performance without sacrificing IT budgets.

CloudMonitor provides organizations with a global view of their estate and delivers insights as a part of the Virtana SaaS platform. With CloudMonitor, organizations can now stream data, including usage rates and alarm occurrences for applications, from multiple infrastructure types, eliminating individual data silos and simplifying how IT leaders monitor their hybrid environment.

With Virtana's unified CloudMonitor solution, IT leaders can:

- Detect which parts of their infrastructure support their mission-critical applications, thereby identifying their most critical infrastructure.

- Proactively plan for capacity needs and avoid overprovisioning hardware infrastructure by purchasing what they need, reducing infrastructure spend by approximately 15%.

- Provide centralized visibility and management of an organization's entire on-premises infrastructure.

- Reduce mean-time-to-detect (MTTD) by an average of 95%, empowering IT to discover and correct anomalies before they become issues.

- Up-level alarm occurrence data for each application and components related to an application.

- Enable faster mean-time-to-resolution (MTTR) by an average of 90%, so critical applications can stay available for longer periods of time.

"The extension of Virtana Infrastructure Performance Management (IPM) with CloudMonitor provides our customers with an unmatched solution that delivers a centralized, panoramic view of their hybrid, multi-vendor, and multi-cloud infrastructure. With CloudMonitor, our technology partners and channels can accelerate their as-a-service offerings as enterprise customers strive to innovate and succeed in highly complex multi-vendor and multi-cloud environments," said Kash Shaikh, President and CEO of Virtana.

Kash added, "CloudMonitor accelerates the rate businesses can innovate within their competitive industries and helps simplify and optimize their hybrid-platform environment. This new capability gives our customers unparalleled panoramic observability across on-premises and public clouds, making it easier than ever to get more from their existing infrastructure."

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...