You may notice that your application has become slow, even though monitoring tools show that CPU usage is only around 30%. In virtualized environments, the real cause may be CPU Steal Time.
CPU Steal Time is one of the most important performance metrics to monitor on virtual servers because it reveals competition between multiple virtual machines for physical CPU resources.
CPU Steal Time is the amount of time a virtual machine is ready to execute tasks but cannot access the CPU because the hypervisor is allocating processor time to another virtual machine.
In other words, your application is ready to run, but the CPU is temporarily unavailable.
In a virtualized environment:
Requests take longer to process even though the application itself is not heavily utilizing the CPU.
The server can complete fewer tasks per second because it spends time waiting for CPU resources.
Application performance may fluctuate depending on the workload of other virtual machines running on the same physical host.
You can monitor CPU Steal Time using tools such as:
tophtopvmstatIt usually appears under the st or steal column.
Well-managed infrastructure with balanced workloads can significantly reduce CPU contention.
If your applications are performance-sensitive, consider using Dedicated CPU instances or Bare Metal Servers instead of shared virtual CPUs.
Continuously track CPU metrics to detect unusual increases in Steal Time before they impact your applications.
Running services across multiple servers can reduce resource contention and improve overall performance.
No. CPU Steal Time is primarily associated with virtualized environments because multiple virtual machines share the same physical CPU.
Ideally, CPU Steal Time should remain close to 0%. Consistently high values often indicate that the physical host is overloaded or oversubscribed.
CPU Steal Time is an essential metric for understanding performance issues in virtualized environments. Even when CPU utilization appears low, high Steal Time may indicate that your virtual machine is waiting for access to physical CPU resources. Monitoring this metric can help you identify infrastructure bottlenecks and maintain consistent application performance.