Survey Sees IT Teams Struggling to Manage AI Workloads – Virtana

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  - 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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