Virtana

virtana.com ↗

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Virtana

Value Proposition & Features

Virtana is a hybrid and multi-cloud observability platform that correlates telemetry, topology, events, and dependencies across applications, services, Kubernetes, infrastructure, networks, storage, cloud resources, data pipelines, and AI workloads. ^[1] Its stated objective is to help teams distinguish symptoms from constraints, identify evidence-backed root cause, stabilize service levels, control costs, and automate governed remediation. ^[1]

• System Dependency Graph: Continuously maps relationships across applications, services, Kubernetes, infrastructure, networks, storage, cloud resources, data pipelines, and AI workloads. ^[1]

• Full Stack Telemetry: Collects and correlates metrics, logs, traces, events, topology, and infrastructure signals across operational domains. ^{[1] [2]}

• Event Intelligence: Correlates deployment events, configuration changes, and operational behavior to separate symptoms from underlying constraints. ^[1]

• Diagnostic AI Agents: Investigate incidents and identify evidence-backed root cause using system-wide dependencies and live operational evidence. ^{[1] [3]}

• Remediation Agents: Recommend or execute governed corrective actions through policies and workflows. ^[1]

• AI-Factory observability: Connects GPU utilization, health, power, and cost to workloads, applications, data movement, storage, networks, Kubernetes, training, and inference. ^[3]

• Hybrid deployment: Supports SaaS and self-hosted deployment, including customer-controlled environments. ^[4]

• Agent and API access: Provides natural-language troubleshooting, policy authoring, documentation assistance, and a metrics service for retrieving time-series data. ^{[2] [5]}

Product Roadmap / Announcements

As of October 5, 2026,

• September 28, 2026: Virtana announced that it won SiliconANGLE’s 2026 TechForward Award in the AI-Driven Cloud Infrastructure category. ^[6]

• September 25, 2026: Virtana published an overview of its Agentic Observability approach for AI infrastructure teams, centered on an “Observe, Reason and Act” model. ^[7]

• September 24, 2026: Virtana published updated DevOps Monitoring material describing system-aware observability and governed remediation agents. ^[1]

• September 18, 2026: Virtana published GPU-monitoring material covering vendor-agnostic telemetry, AI-factory dependencies, and diagnostic agents. ^[3]

Recent Developments

Within the past 90 days, Virtana has emphasized agentic observability as its product direction, describing a platform that continuously correlates more than 25,000 telemetry signals so AI agents can reason across applications, infrastructure, services, and AI factories. ^[6] The company also expanded its public product messaging around GPU monitoring, Kubernetes observability, diagnostic agents, remediation, and customer-controlled deployment options. ^{[4] [3]}

History and Origin Story

Virtana’s supplied company metadata identifies Virtana Corp. as founded in 2008 and headquartered in Palo Alto, California. ^[8] The available search results do not identify the founders or provide a reliable narrative of the company’s founding and major historical inflection points.

Fundraising History

The supplied company metadata reports total funding of $88 million, comprising a 2013 seed round, a $15 million 2020 venture round, and a $73 million 2022 venture round. ^[8]

Investor names and lead investors were not identified in the available reliable sources.

Notable Team Members

No founders or named senior leaders were identified in the available search results with sufficient reliability to include.

Market Sizing

Category, Market Size, and Category Growth

Virtana is positioned in hybrid infrastructure observability, full-stack application and infrastructure monitoring, AIOps, and AI-infrastructure observability. ^{[1] [6] [3]} No reliable analyst-firm market-size or category-growth estimate was identified in the available search results.

Pricing

Virtana has no public list pricing in the available search results. ^[4]

Revenue Trajectory Estimates

The supplied company metadata reports annual revenue of $60 million, but does not provide a date, methodology, or independent verification. ^[8]

Competitive Landscape

Who it's for, who it's not for

Virtana is designed for enterprise IT, platform, DevOps, infrastructure, cloud, Kubernetes, data-pipeline, and AI-infrastructure teams that need correlated visibility across hybrid or multi-cloud environments. ^{[1] [4] [3]} The supplied metadata says the company is trusted by more than 150 Global 2000 organizations. ^[8]

It is not a natural fit for small teams seeking a simple single-application monitor, a low-cost self-service product with published prices, or an observability deployment limited to one infrastructure layer; Virtana’s documented positioning centers on broad system context, enterprise scale, and custom deployment complexity. ^{[1] [4]}

Viable Alternatives

• DataDog: A broad cloud monitoring and observability alternative for teams seeking integrated infrastructure, application, and service monitoring.

• Dynatrace: An enterprise observability alternative emphasizing automated dependency analysis and application intelligence.

• New Relic: A developer-oriented observability alternative covering application performance, infrastructure, logs, and user experience.

• Splunk Observability: An enterprise monitoring alternative combining infrastructure, application, and operational analytics.

• ScienceLogic: An IT operations and AIOps alternative focused on hybrid infrastructure discovery, monitoring, and event correlation.

Competitor Table

Sources

Sources (retrieved)