Articles from Virtana

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.