Virtana redefines infrastructure observability by treating the entire delivery chain as a single, connected system, enabling proactive capacity planning across compute, storage, and network environments.
When performance falters, teams stop chasing symptoms and start proving exactly where the constraint lives before disruption spreads.
Root Cause Analysis Software
Availability and RCA
- Prove what failed, where it failed, and why it failed using shared system evidence.
- Correlate signals across domains to replace debate with facts.
Unified Monitoring Software
Performance Observability and Remediation
- Identify the actual bottleneck across the full stack, not just the component showing red.
- Use agentic root cause analysis to pinpoint limiting dependencies in real time and improve performance management across the full stack.
IT Infrastructure Capacity Planning
Plan Ahead with Predictive Infrastructure Insights
- Model future resource demand across compute, storage, network, and GPU environments with intelligent forecasting.
- Identify how capacity constraints ripple through dependencies before they impact delivery.
- Turn real-time visibility into proactive capacity planning decisions that prevent bottlenecks and overprovisioning.
AIOps
Autonomous Operations
- Deploy AI agents that traverse the system dependency graph and validate system behavior with storage load testing before issues escalate.
- Move from alert triage to system-backed agent briefings and governed automation.
Infrastructure Risk Management
Risk and Change Management
- Simulate infrastructure changes against the live system model before rollout with deeper visibility into backend networks and switches.
- Identify hidden constraints and downstream risk before upgrades or migrations.
