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Enterprise Layer Intelligence
Categories/APM & Observability/Virtana
Virtana

Virtana

Founded by Kash Shaikh in 2008

Monitor full-stack enterprise IT infrastructure, applications, and GPU workloads across hybrid cloud environments

You can use Virtana to monitor IT systems, map dependencies, and find root causes of performance problems across hybrid environments. It gathers telemetry metrics across applications, Kubernetes clusters, compute servers, storage arrays, network devices, and GPU hardware. It builds dependency graphs to separate surface symptoms from actual system constraints. You can review infrastructure bottlenecks, run diagnostic checks, inspect AI workload efficiency, and automate remediation actions. Teams gain clear visibility into complex architectures, allowing operators to fix technical bottlenecks quickly without manual troubleshooting delays.

What Virtana does

Inspect Kubernetes container and pod performanceTrace application latency down to the storage layerTrack GPU memory and compute consumptionIdentify root cause triggers during system outagesExecute automated remediation scripts for common failuresQuery telemetry metrics using natural language promptsMaps system dependencies continuously across hybrid cloud environmentsIsolates root causes by separating symptoms from actual constraintsMonitors GPU utilization and capacity for AI workloadsAccepts plain English queries to manage IT operationsCollects over 25,000 telemetry metrics across infrastructure layersRecommends and automates corrective remediation stepsIntegrates with external agents using Model Context Protocol

Frequently asked

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Virtana, observability, infrastructure monitoring, application observability, Kubernetes monitoring, hybrid cloud, GPU monitoring, root cause analysis, AIOps, telemetry, IT operations, event intelligence, service observability, capacity planning, cloud infrastructure, dependency mapping