VM Sizing Recommendations

Find out which VMs are bigger than they need to be and how much you could save by right-sizing them. StratoLens uses actual CPU, memory, and disk utilization data to recommend specific smaller SKUs with confidence.

The Problem

Most VMs are oversized because teams spec high to be safe, and nobody goes back to check:

Over-Provisioning by Default: Teams pick larger SKUs to avoid performance risk, then never revisit
No Utilization Visibility: Without actual usage data, you can't tell which VMs are oversized
Guesswork is Risky: Right-sizing without data means guessing, and getting it wrong causes outages

The Solution

Right-size with confidence using actual performance data:

Usage-Based Recommendations: Identifies oversized VMs based on real CPU, memory, and disk utilization
Specific SKU Suggestions: Not just "this VM is too big" but "switch to this SKU and save this much"
Cost Impact Per VM: See the dollar savings for each recommendation so you prioritize the biggest wins

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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