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.
- Want To Learn More?
  - Platform Overview
  - Explore Integrations
Solutions
- Why VirtanaWhen it comes to Mission Critical Workloads, there’s Virtana.
- Read More
Resources
Partners
- Partner Program
  - Partner ProgramPartner with Virtana to grow your business
  - Read More
- Technology Partners
  - Technology PartnersVirtana teams with industry-leading hardware and software companies to deliver best-in-class solutions
  - Read More
  - NetApp
  - Dell Technologies
  - AppDynamics
  - Nutanix
  - Servicenow
  - Cisco
  - AWS
  - Pure Storage
  - Infinidat
  - Hitachi
- Partner Portal
  - 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.
  - Partner Login
Company
- About Us
- Leadership
- Newsroom
- Careers
- Support
- Contact Us
Login
Get a Demo

White Paper

Governing the Expanding Estate: Observability, AI Infrastructure, and the Architecture Enterprises Now Need

Is Your Observability Architecture Ready for the AI Era?

IDC Spotlight | Sponsored by Virtana

AI agents, GPU infrastructure, model pipelines, and distributed AI systems are becoming part of the production estate. But the observability architectures many enterprises rely on were built for an application-centric world.

What you’ll learn

Download the IDC Spotlight to understand why extending observability across the full technology estate is becoming critical to governing AI operations and investment. Learn:

Why the observability boundary must expand as AI infrastructure becomes a production dependency.
How fragmented system context affects humans and AI agents alike when they need to identify the true limiting dependency behind performance issues.
Why AI infrastructure observability matters for investment accountability, including the ability to connect infrastructure performance with AI workload behavior and outcomes.
How agentic operations change governance requirements as enterprises deploy more AI agents across business and technology domains.
Three actions enterprises can prioritize now to close visibility gaps and strengthen governance as their estates expand.

The estate has changed. Has your observability architecture changed with it?

This IDC Spotlight examines the architectural shift enterprises face as applications, infrastructure, networks, storage, Kubernetes, GPUs, AI workloads, and agents become increasingly interdependent.

Source: IDC Spotlight, Sponsored by Virtana, Governing the Expanding Estate: Observability, AI Infrastructure, and the Architecture Enterprises Now Need, Doc. #US54619726, August 2026.

WordPress Cookie Notice by Real Cookie Banner