Platform
- The Deepest & Broadest Hybrid Observability Platform
- DescriptionDelivering business-service visibility, infrastructure performance, and cost intelligence into one platform across on-premises and cloud environments.
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- Cross-Platform Capabilities
  - Global View DashboardUnified dashboard for insights across all hybrid infrastructure domains
  - Event Intelligence (AIOps)Correlate events and anomalies with AI-powered root cause analysis
  - Cost ManagementTrack infrastructure costs and identify savings opportunities in real time
  - Capacity ManagementForecast and manage infrastructure capacity across hybrid environments
  - Performance ManagementIdentify and resolve performance bottlenecks across infrastructure tiers
  - Storage Load TestingSimulate workloads to validate and optimize storage performance
- AI Factory Observability
  - AI Factory ObservabilityEnd-to-end visibility across the entire AI development lifecycle
  - AI AgentsMonitor performance, behavior, and infrastructure of AI agents
  - AI Data FabricObserve data pipelines powering your AI workflows in real time
  - Backend NetworksEnsure low-latency, high-throughput networking for AI infrastructure
  - GPUMonitor GPU utilization, availability, and performance at scale
  - Training ModelsOptimize model training speed, reliability, and resource efficiency
- Compute Observability
  - Compute ObservabilityGain real-time insight into compute infrastructure health and performance
  - Container / KubernetesMonitor and optimize containerized workloads across Kubernetes environments
  - Hyperconverged (HCI)Track performance and availability of hyperconverged infrastructure resources
  - Operating SystemAnalyze OS-level metrics for resource usage and system performance
  - VirtualizationObserve virtual machine health, efficiency, and infrastructure dependencies
- Storage Observability
  - Storage ObservabilityVisibility into storage performance, capacity, and availability issues
  - BlockMonitor and optimize block storage for performance and reliability
  - File / NASTrack file-based storage usage, latency, and system behavior
  - ObjectObserve object storage metrics to optimize cost and performance
- Data Fabric Observability
  - Data Fabric ObservabilityUnderstand how data flows across hybrid, multi-protocol environments
  - Fibre ChannelMonitor Fibre Channel network performance, utilization, and path health
  - iSCSITrack iSCSI traffic, latency, and connectivity for troubleshooting
  - NVMeGain insight into NVMe performance across your data fabric
  - SwitchesMonitor switch performance, link status, and data fabric impact
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- Why VirtanaWhen it comes to Mission Critical Workloads, there’s Virtana.
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  - Technology PartnersVirtana teams with industry-leading hardware and software companies to deliver best-in-class solutions
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  - Dell Technologies
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  - Vmware
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  - Cisco
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  - Pure Storage
  - Infinidat
  - Hitachi
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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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eBook

The Observability AI Reckoning

How Agentic AI Is Changing Observability Consolidation from a Trend to a Mandate

As environments grow more complex and AI-driven workloads accelerate change, fragmented observability becomes operational risk. AI can’t reason accurately or act safely on siloed telemetry, shallow integrations, or stitched-together dashboards.

This eBook explains why unified, deep, and broad observability is now a prerequisite for AI-driven operations—and what teams must do to operate with confidence at scale.

What You’ll Learn:

Why fragmentation slows response and inflates risk
What agentic AI demands from observability
How to move from insight to safe action

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