Platform
- Unified Platform
  - Breadth & Depth by DesignObserve every layer, from application to infrastructure.
  - Natural Language InterfaceAsk questions and get evidence-backed answers.
  - Unified System ViewView dependencies, impact, and health in one place.
  - Correlation EngineIdentify the exact constraint driving issues.
  - Autonomous AI AgentsAgents that detect, reason, and act across the system.
  - AI Event IntelligenceTurn signals into prioritized, actionable insights.
  - MCP ServerCoordinate and operate AI workloads as a system.
  - Heterogeneous SupportExtend existing observability investments without rip-and-replace.
- AI Factory Observability
  - Full-Stack VisibilityApplication-to-infrastructure mapping
  - Token Economics & ForecastingMaximize and optimize token spend
  - GPU Performance & Cost OptimizationOptimize utilization to reduce infrastructure spend
  - Training & Inference PerformanceIncrease throughput and minimize training run failures
  - Power & Sustainability IntelligenceSupport sustainable AI operations  at scale
  - AI Security & GuardrailsEnsure save, compliant AI operations
  - Network & Data Flow ObservabilityDeep and broad broad  network observability
- Application Observability
  - Business Transactions & TracesTrace end-to-end user journeys across services to find bottlenecks.
  - Synthetic and Availability ObservabilityProactively test user paths to ensure uptime and SLA compliance.
  - Kubernetes ObservabilityMap service performance to container resources and runtime dependencies.
  - System-Aware ObservabilityOptimize app performance with deep visibility from code to storage.
  - Log Analysis and CorrelationConnect logs to traces to pinpoint root cause failure chains.
- Infrastructure Observability
  - Availability & RCA Prove what failed, where, and why it failed.
  - Autonomous OperationsInvestigate incidents with AI agents and governed automation.
  - Performance RemediationFind bottlenecks and limiting dependencies across the full stack.
  - Change RiskTest changes against live dependencies before rollout or migration.
  - Capacity ForecastingForecast constraints before they disrupt performance or delivery.
- Service Observability
  - Event IntelligenceCluster noise and prioritize incidents by service impact.
  - Service Dependency MappingMap dependencies and translate issues into service impact.
  - System-Aware Service OperationsAttach service context directly to incident workflows.
  - Remediation GovernanceTrigger safe automation based on service risk.
  - Anomaly DetectionCatch abnormal behavior before thresholds or outages do.
  - Full-Stack VisibilityTranslate technical issues into service and business impact.
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  - Partner PortalThe Virtana Partner Portal has information on Virtana’s solutions — including sales guides, data sheets, brochures, presentations, training videos, case studies, whitepapers, incentives and more.
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SREday San Francisco 2026 Q2

Team Virtana will be attending Site Reliability, DevOps and Cloud day in San Francisco on April 17th.

SREday is a series of in-person events around the world, bringing together the growing communities of Site Reliability Engineers, DevOps practitioners, Platform Engineers, Cloud Architects, CI/CD specialists, and related roles.

Jul 29, 2026Virtana Insight3:00 PM

Webinar: Visibility to Action

April 15 2026Virtana Insight

Virtana Happy Hour at DTW

May 18, 2026Virtana Insight

Meet Virtana at Dell Technologies World 2026

Running AI and hybrid infrastructure on Dell technologies requires more than monitoring—it ...

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