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Virtana

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IT Infrastructurewww.virtana.comPalo Alto, California, United StatesUpdated

Hybrid infrastructure observability for global enterprises.

Overview

Virtana provides the deepest hybrid infrastructure observability platform, enabling global enterprises to transform their complex IT environments into strategic business assets. The platform delivers end-to-end visibility, AI-powered analytics, and actionable insights to optimize performance, reduce costs, and ensure reliability across on-premises and cloud environments.

Mission statement

To transform complex IT environments into strategic assets by delivering comprehensive observability, AI-driven analytics, and actionable insights across hybrid infrastructure.

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What we offer

Virtana Platform

Achieve comprehensive visibility and optimization across hybrid IT environments with Virtana Platform.

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Cloud Migration

Service

Simplify your cloud transition with insights for effective workload migration.

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Market segments

Hybrid Cloud Observability

Unified visibility and analytics across on-premises and cloud infrastructure to correlate events, surface root causes, and monitor reliability across hybrid environments.

Products: Virtana Platform

Cloud Migration Assessment

Readiness assessment and planning capabilities that profile applications and workloads, forecast performance and cost impacts, and recommend workload grouping for migration.

Products: Cloud Migration, Virtana Platform

Cloud Cost Management

Real-time cost tracking, forecasting, and cost-optimization insights to identify savings opportunities and model cloud spend before and after migration.

Products: Virtana Platform, Cloud Migration

Infrastructure Performance Monitoring

Monitoring and diagnostics for compute, virtualization, networking, and OS layers to detect and resolve performance bottlenecks across the infrastructure stack.

Products: Virtana Platform

Storage and Data Fabric Observability

Visibility into block, file, object, NVMe, Fibre Channel and data fabric flows to manage storage performance, capacity, and reliability.

Products: Virtana Platform

AI Infrastructure Observability

Monitoring and optimization for AI/ML infrastructure including GPU utilization, model training performance, AI data pipelines, and AI agent behavior.

Products: Virtana Platform

Capacity Planning and Forecasting

Forecasting and capacity management capabilities to model demand, plan resource growth, and validate infrastructure changes through load testing.

Products: Virtana Platform, Cloud Migration

Kubernetes and Container Monitoring

Observability for containerized workloads and Kubernetes clusters to track resource usage, connectivity, and application performance in container environments.

Products: Virtana Platform

More information about our offering

Virtana Platform

The Virtana Platform is a hybrid observability platform delivering end-to-end visibility, AI-powered analytics, and cost intelligence across on-premises and cloud environments. It unifies multiple observability domains and capabilities into a single platform to optimize performance, reduce costs, and ensure reliability.

  • Centralize Monitoring
    Facilitates comprehensive oversight of all hybrid infrastructure.
  • Streamline AI Development
    Provides clarity on the AI development process, reducing time to deployment.
  • Ensure Compute Health
    Manages and assesses compute resources for high availability and performance.
  • Reduce Cloud Costs
    Enables informed decisions based on accurate financial metrics.
  • Accelerate Root Cause Analysis
    Reduces downtime by quickly identifying the causes of issues.
  • Enhance Performance Monitoring
    Improves overall system efficiency and responsiveness.
  • Enhance AI Monitoring
    Gain insights into AI system performance to ensure optimal functionality.
  • Optimize Data Flow
    Ensure seamless data management and performance for AI workloads.
  • Optimize Resource Allocation
    Enhances resource utilization while reducing costs.
  • Enhance Container Management
    Maximizes efficiency and performance of containerized applications.
  • Achieve Data Insight
    Facilitates better data management and compliance in complex environments.
  • Improve GPU Performance
    Ensures effective use of GPU resources for high-demand workloads.
  • Enhance Storage Insights
    Informs proactive management of storage resources.
  • Streamline Model Training
    Improves resource usage and performance during AI model training.
  • Optimize Network Performance
    Guarantee optimal performance of AI applications by monitoring backend network efficiency.
  • Improve Block Storage
    Ensures reliability and performance of block storage systems.
  • Enhance Fibre Channel Visibility
    Ensures reliable performance of Fibre Channel networks.
  • Optimize HCI Performance
    Maximizes the performance and responsiveness of hyperconverged resources.
  • Optimize Object Storage
    Ensures effective management of unstructured data.
  • Improve Virtualization Management
    Facilitates effective management of virtualized environments.
  • Optimize File Storage
    Improves efficiency and reliability of file-based storage systems.
  • Enhance iSCSI Management
    Ensures reliability and swift access in iSCSI-focused environments.
  • Maximize NVMe Performance
    Improves performance of NVMe systems for maximum efficiency.
  • Validate Storage Performance
    Ensures storage systems meet performance expectations under load.
  • Optimize Switch Management
    Maximizes switch performance and reliability in the data fabric.
  • Monitor OS Health
    Facilitates effective troubleshooting and performance tuning.

Cloud Migration

Cloud Migration is a readiness service that provides insights and planning support before moving workloads to the cloud. It answers key questions and delivers visibility into applications and workloads targeted for migration, helping forecast performance and cost implications.

  • Gain Readiness Insights
    Prepare your organization for cloud migration by understanding the specific requirements and considerations for your workloads.
  • Forecast Performance Costs
    Analyze expected cloud performance and financial implications, enabling informed decision-making before migration.
  • Optimize Workload Grouping
    Categorize workloads effectively to enhance performance and cost efficiency during and after migration.
  • Automate Migration Planning
    Leverage automated insights to create structured migration pathways, reducing manual effort and errors.

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