Platform
- The Deepest & Broadest Observability Platform
- DescriptionThe AI-native platform for unified observability. Four modules, one shared architecture. Start anywhere, scale everywhere.
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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
- Application Observability
  - Application ObservabilityOptimize app performance with deep visibility from code to storage.
  - Business Transactions & TracesTrace end-to-end user journeys across services to find bottlenecks.
  - Log Analysis and CorrelationConnect logs to traces to pinpoint root cause failure chains.
  - Kubernetes ObservabilityMap service performance to container resources and runtime dependencies.
  - Synthetic and Availability ObservabilityProactively test user paths to ensure uptime and SLA compliance.
- 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
- Want To Learn More?
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Solutions
- Why VirtanaWhen it comes to Mission Critical Workloads, there’s Virtana.
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Partners
- Partner Program
  - Partner ProgramPartner with Virtana to grow your business
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- Technology Partners
  - Technology PartnersVirtana teams with industry-leading hardware and software companies to deliver best-in-class solutions
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  - NetApp
  - Dell Technologies
  - AppDynamics
  - Vmware
  - 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
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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.

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 — i...

May 21, 2026Virtana Insight

Observability Summit North America 2026

Virtana will be attending Observability Summit NA 2026 from May 21st-22nd in Minneapolis, M...

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