Articles from Virtana

Virtana, provider of the deepest and broadest observability platform for hybrid and multi-cloud environments, today announced the appointment of Daniel Raskin as Chief Marketing Officer. Raskin brings more than 25 years of enterprise marketing leadership to Virtana at a time of significant momentum, as Global 2000 enterprises accelerate investment in AI infrastructure and demand observable, accountable operations at scale.

Virtana today announced AI Factory Observability for Dell AI Factory environments, bringing its AI Factory Observability platform to one of the industry’s most widely deployed enterprise AI infrastructure stacks. The integration spans Dell PowerEdge compute, PowerScale and ObjectScale storage, high-performance networking fabrics, including InfiniBand, Ethernet, and NVLink, and Dell’s Smart Fabric Manager (SFM) orchestration layer. As enterprises deploy Dell AI Factory to run GPU-intensive training and inference at scale, the operational challenge shifts from infrastructure acquisition to infrastructure performance: understanding not just whether components are running, but whether the system is producing outcomes efficiently. Virtana directly addresses this challenge, giving infrastructure and AI platform teams end-to-end visibility and control across every layer of the Dell AI Factory stack. Having established deep integrations with NVIDIA and Nutanix, Virtana continues to extend full-stack observability across the major ecosystem environments where enterprises are building and operating AI at scale.

Two-thirds of enterprises are running AI infrastructure without system-level visibility, creating a fragile foundation beneath rapidly expanding AI deployments. New research from Virtana found that as AI adoption accelerates, a new operational reality is emerging: innovation is outpacing control.

Virtana, provider of the deepest and broadest observability platform for hybrid and multi-cloud environments, today announced support for AWS Bedrock Guardrails within Virtana AI Factory Observability (AIFO), extending behavioral observability across enterprise LLM deployments on AWS Bedrock. As organizations adopt generative AI for mission-critical workflows, the operational challenge shifts from deploying models to operating them securely at scale. AWS Bedrock Guardrails provides the enforcement layer, blocking harmful content, masking PII, and defending against prompt injection. Virtana AIFO delivers the intelligence layer, making Guardrails activity observable and surfacing the behavioral patterns that distinguish legitimate workloads from active adversarial campaigns. Together, they give enterprises the defense in depth required to operate AI with confidence in production, part of Virtana's continued expansion of AI Factory Observability across the environments where enterprises deploy, run, and secure AI at scale.

Virtana today announced AI Factory Observability for Nutanix Agentic AI environments, extending system-aware observability across Nutanix Cloud Infrastructure and Nutanix Enterprise AI. As enterprises adopt agentic AI, the operational challenge shifts from building models and deploying individual agents to running infrastructure that can scale reliably under dynamic, high-concurrency demand. To address this, Virtana is expanding AI Factory Observability from Nutanix Cloud Infrastructure into Nutanix Enterprise AI, extending visibility and control from the infrastructure layer into AI platforms and model-driven workloads. This integration provides infrastructure and platform teams with a shared operational foundation for managing Nutanix Agentic AI environments in production.

Enterprise IT is approaching a structural breaking point. New research released today by Virtana reveals a widening leadership disconnect as AI workloads scale beyond the limits of legacy observability. The “AI Is Breaking Human Managed Operations” report found that while 59% of executives believe their organizations are prepared for AI-scale operations, 62% of practitioners report fragmented systems and persistent visibility gaps. Three in four enterprises report AI job failure rates have already reached double digits, signaling measurable instability as adoption accelerates.

Virtana, provider of the deepest and broadest AI-powered observability platform, today launched a new Application Observability offering that achieves what legacy APM tools have failed to do: automatically trace performance failures from application code all the way down through infrastructure, networks, storage, and AI workloads to surface evidence-backed root cause without manual correlation. Built for autonomous operations at scale, the solution redefines the application as a system rather than software, automatically correlating performance issues across the full enterprise stack, from code and services to infrastructure, networks, storage, and AI platforms. By enabling operators and AI agents to identify the true limiting dependency across hybrid environments, organizations gain faster, more precise root cause analysis without sacrificing governance or control.

Virtana, the leader in AI Factory observability, today announced they are partnering with NVIDIA to advance observability for enterprise AI Factories. The integration brings together Virtana’s observability platform and NVIDIA’s AI and accelerated computing technologies to help IT teams manage complex, distributed AI environments more efficiently and reliably.

Virtana, the leader in hybrid infrastructure observability, today announced the launch of Virtana AI Factory Observability (AIFO), a powerful new capability that extends Virtana’s full-stack observability platform to the unique demands of AI infrastructure. With deep, real-time insights into everything from GPU utilization and training bottlenecks to power consumption and cost drivers, AIFO enables enterprises to turn complex, compute-intensive AI environments into scalable, efficient, and accountable operations. This launch strengthens Virtana’s position as the industry’s broadest and deepest observability platform, spanning AI, infrastructure, and applications across hybrid and multi-cloud environments.

Virtana, the leader in deep hybrid-infrastructure observability, today announced it has acquired Zenoss, a pioneer in real-time IT service monitoring and a leader in AI-powered event intelligence. This strategic acquisition aims to bridge the gap between service visibility and infrastructure control in hybrid environments. The increased scale of Virtana and Zenoss will enable greater opportunity for accelerated investment and innovation.