VM Sizing Recommendations

Analyze VM performance metrics to identify oversized instances and provide right-sizing recommendations. Reduce costs while maintaining performance with data-driven SKU suggestions.

The Problem

VMs are often oversized, wasting budget on unused capacity:

Over-Provisioning: Teams spec VMs higher than needed to avoid performance risk
No Visibility: Without utilization data, it's hard to know which VMs are oversized
Guesswork: Right-sizing without data means guessing—and risking performance issues

The Solution

StratoLens analyzes VM performance to identify right-sizing opportunities:

Usage-Based Recommendations: Identifies oversized VMs based on actual CPU, memory, and disk utilization
Specific SKU Suggestions: Get recommendations for smaller SKUs that match your workload
Cost Impact: See potential savings for each recommendation

Key Benefits

Performance-based VM sizing recommendations

Identify oversized VMs wasting budget

Specific SKU recommendations with cost impact

Data-driven decisions to reduce risk

Common Use Cases

Reduce VM costs through right-sizing

Identify underutilized VMs for consolidation

Optimize dev/test environment sizing

Ready to Learn More?

Explore our documentation to see how VM Sizing Recommendations works in detail.

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