Platform Architecture

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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