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.
Hybrid Infrastructure Observability
Breadth & Depth by Design
- 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.
Single Pane of Glass Monitoring
Unified System View
- Unify the metrics, dependencies, and business context that matter most across sites, teams, platforms, and environments with the global view dashboard, bringing cost management directly into operational decision-making.
- Give leaders and operators a shared system-level perspective to identify risk faster, align on what matters most, and take action with greater confidence.
Application Dependency Mapping Tool
Correlation Engine
- 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.
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.
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.
AI Observability Platform
Autonomous AI Agents
- System-aware AI agents traverse dependencies across the entire stack, investigating issues across applications, infrastructure, and AI execution without manual handoffs.
- 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.
Virtana Integrations
Heterogenous Support
- 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.
AI Event Intelligence
- Correlate events across applications, services, infrastructure, and AI workloads to identify the true constraint behind an issue.
- Replace noise with AI-driven insights, resulting in faster root cause, fewer false positives, and no war rooms.
