Cloud Provider
Azure Virtual Machines
Inefficiency Type
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Missing Scheduled Shutdown for Non-Production Azure Virtual Machines
Compute
Cloud Provider
Azure
Service Name
Azure Virtual Machines
Inefficiency Type
Inefficient Configuration

Non-production Azure VMs are frequently left running during off-hours despite being used only during business hours. When these instances remain active overnight or on weekends, they generate unnecessary compute spend. Azure offers built-in auto-shutdown features that allow teams to define daily stop times, retaining disk data and configurations without paying for VM runtime. Implementing scheduled shutdowns in dev/test environments is a simple, low-risk optimization that can reduce compute costs by 30–60%.

Inactive and Stopped VM
Compute
Cloud Provider
Azure
Service Name
Azure Virtual Machines
Inefficiency Type
Unused Resource

This inefficiency arises when a virtual machine is left in a stopped (deallocated) state for an extended period but continues to incur costs through attached storage and associated resources. These idle VMs are often remnants of retired workloads, temporary environments, or paused projects that were never fully cleaned up. Without clear ownership or automated cleanup, they can persist unnoticed and accumulate avoidable charges.

Underutilized Azure Virtual Machine
Compute
Cloud Provider
Azure
Service Name
Azure Virtual Machines
Inefficiency Type
Overprovisioned Resource

Azure VMs are frequently provisioned with more vCPU and memory than needed, often based on template defaults or peak demand assumptions. When a VM operates well below its capacity for an extended period, it presents an opportunity to reduce costs through rightsizing. Without regular usage reviews, these inefficiencies can persist indefinitely.

There are no inefficiency matches the current filters.