Optimize Virtualized Environments with Intelligent Observability
Gain complete visibility, prevent resource contention, and maximize VM performance with AI-powered insights.
95% Improvement in MTTR
AI-driven RCA and anomaly detection resolve issues faster than traditional monitoring tools. US-based manufacturing company
99.999% Uptime
Proactively avoid outages by catching issues before they escalate. West coast-based healthcare provider
30% Infrastructure Savings
Eliminate unnecessary overprovisioning and streamline capacity planning for maximum efficiency. UK-based financial institution
The Challenge: Visibility Gaps in Virtualized Environments
Virtualization enhances IT agility, but managing VM sprawl and resource contention can be a nightmare. Common challenges include:
- Lack of End-to-End Visibility – Traditional tools fail to correlate data across virtualized compute, storage, and networking.
- Resource Over-Provisioning & Waste – Unused or oversized VMs drive up costs while under-provisioned workloads degrade performance.
- Slow Troubleshooting – Isolating the root cause of performance issues across hypervisors, VMs, and infrastructure is complex and time-consuming.
To keep virtualized environments optimized, IT teams need real-time observability, intelligent automation, and predictive insights.
The Solution: Virtana’s AI-Powered Virtualization Observability
Virtana provides deep, unified observability across VMs, hypervisors, storage, and network infrastructure. With AI-driven analytics and automated root cause analysis, you can eliminate blind spots, optimize resource allocation, and accelerate troubleshooting.
End-to-End Virtualization Observability: See the Full Picture
Correlate performance data across VMs, hypervisors, storage, and networks.
- Break Down Data Silos – Gain a unified view of VM performance and dependencies.
- Accelerate RCA – Quickly diagnose performance issues across the entire stack.
- Optimize Workloads – Ensure VMs receive the right resources without over-provisioning.
AI-Driven Anomaly Detection: Proactively Identify Issues
Detect deviations in VM behavior before they impact performance.
- Reduce Downtime – Catch resource contention and performance anomalies early.
- Eliminate Alert Fatigue – AI filters out false positives and surfaces critical alerts.
- Enhance IT Efficiency – Free up teams from manual troubleshooting and alert triage.
Smart Resource Optimization: Prevent Over-Provisioning & Waste
Ensure optimal resource allocation for cost-effective performance.
- Eliminate VM Sprawl – Identify and decommission idle or underutilized VMs.
- Prevent Resource Bottlenecks – Detect over-allocated and underperforming workloads.
- Optimize Cloud & On-Prem Costs – Reduce VM density inefficiencies to lower costs.
Automated Root Cause Analysis: Troubleshoot Faster
Pinpoint performance issues across hypervisors, storage, and network layers.
- Reduce MTTR by up to 95% – AI-driven insights surface root causes instantly.
- Eliminate War Rooms – Automated RCA links anomalies to infrastructure changes.
- Improve Reliability – Prevent cascading failures with proactive problem detection.
