| Location | San Jose, CA |
Unified Monitoring Solution
System-Aware Agentic Observability
One System. No Silos
Solution Brief Get a Demo
Unify observability, automation, and AI-driven operations across your hybrid and multi-cloud estate.
The Virtana Platform connects applications, infrastructure, and service health into a single operational system with a unified global view dashboard for faster, system-level decision-making.
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Hybrid Infrastructure Observability
AI Native Architecture
Unify hybrid infrastructure observability through an AI-native architecture built for complex execution systems.
Operate seamlessly across cloud, on-premises, and hybrid environments, with dedicated support for air-gapped deployments in secure and mission-critical settings.
Gain deep, system-aware visibility across the full stack, connecting application, service, infrastructure, and AI signals into a single operational context supported by data fabric observability.
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Single Pane of Glass Monitoring
Unified System Context
Achieve single pane of glass monitoring across applications, infrastructure, and AI workloads, including data fabric observability
Unify critical metrics, dependencies, and business context to understand system-wide impact, bring cost management directly into operational decisions
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Application Dependency Mapping Tool
System Dependency Graph
Map application dependencies across services, infrastructure, and backend networks.
Continuously map and correlate relationships across applications, services, infrastructure, and AI workloads to create a living system model grounded in real operational context.
Move seamlessly across layers to expose hidden dependencies, eliminate visibility gaps, and surface actual system-level root cause across backend networks and shared infrastructure paths.
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System Context for AI Agents
MCP Server
Expose your entire system as structured, machine-readable context that AI agents, LLMs, and automation platforms can understand and act on through the AI data fabric.
Turn AI from passive analysis into system-aware execution by grounding agents in real dependencies, topology, and operational state.
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Virtana Copilot
Natural Language Interface
Ask plain-English questions through leading AI assistants, including ChatGPT, Claude, Gemini, and Copilot, with answers grounded in real system context and live dependencies.
Turn natural language into deep system analysis, enabling AI to investigate across layers instead of searching isolated data while improving performance management across the stack.
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AI Observability Platform
Autonomous AI Agents
Diagnostic agents traverse dependencies across the entire stack, investigating issues across applications, infrastructure, and AI execution without manual handoffs.
Remediation agents recommend corrective actions, accelerating resolution and enabling autonomous operations.
Move from alert triage to autonomous investigation by correlating signals, context, and historical behavior into evidence-backed root cause with stronger capacity management across dynamic environments.
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Virtana Integrations
Breadth & Depth by Design
Adopt Virtana alongside existing observability investments, including AppDynamics, Dynatrace, and ServiceNow, without requiring a rip-and-replace or forced migration. Evolve toward a unified, system-aware platform on your timeline.
Continuously ingest application, service, and infrastructure telemetry from third-party platforms and unify it into a single system-aware model that preserves full-stack context and supports storage load testing for validation.
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AI Event Intelligence
Correlate events across applications, services, infrastructure, and AI workloads to identify the true constraint behind an issue.
Combine event intelligence with capacity management to predict risks, prioritize issues, and optimize capacity for your infrastructure investments.
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The Definition of the "Application" Has Changed
From Code-Centric Apps to Agent-Driven Systems
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