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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Solution Brief

Virtana Service Observability Solution Brief

Connect technical signals to business impact

Modern business services span applications, Kubernetes, cloud, infrastructure, networks, databases, APIs, and more. When performance degrades, teams need to know not just what happened, but why and what to do next.

Virtana Service Observability creates a Single Source of Truth across services and their dependencies, giving Diagnostic Agents the context to perform Agentic Root Cause Analysis and accelerate resolution.

See how Virtana helps you:

Connect technical signals to business service health
Map dependencies across hybrid and multi-cloud environments
Reduce alert noise and identify verified root cause faster
Accelerate restoration with governed remediation

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August 27 2025Virtana Insight

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