Performance Metrics

StratoLens collects performance metrics to identify idle resources and provide VM sizing recommendations. Usage data that answers sizing questions: which VMs are oversized, and which resources sit idle.

StratoLens is a self-hosted Azure visibility platform. It runs in your own tenant; your infrastructure data never leaves it.

The Problem

Cost optimization features need usage data to be accurate:

Sizing Without Data: Right-sizing VMs without performance history means guessing
Idle Detection: Identifying unused resources requires knowing actual utilization
Missing Context: Recommendations without usage data lack confidence

The Solution

StratoLens collects performance metrics to power its optimization features:

VM Sizing: CPU, memory, and disk metrics drive right-sizing recommendations
Idle Detection: Usage patterns identify resources with no recent activity
Historical Context: Utilization trends over time inform confident decisions

Key Benefits

Powers VM sizing recommendations with real utilization data

Enables idle resource detection based on actual usage

Historical trends for confident optimization decisions

Common Use Cases

Right-size VMs based on actual CPU and memory utilization

Detect idle resources like unused Azure Bastion

Make data-driven decisions about resource optimization

Want the Details?

Explore our documentation to see how Performance Metrics works in detail.

Read Documentation View All Features

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StratoLens catches the cost waste, access risk, and config drift across your whole Azure estate, from inside your own tenant, so your data never leaves it.