The CPU time they use will be limited, and some key latency indicators in these processes will deteriorate. Therefore, when processes in a container use more resources than what CPU limits specify, these processes will be throttled by the CPU. It limits the resource consumption of cgroups through CPU throttling. In the Linux kernel, CPU limits are implemented with CPU Bandwidth Controller. We can limit the excessive CPU run time consumed by some containers and ensure that other containers get enough CPU resources by setting the upper limit of CPU resources. In Kubernetes container scheduling, the upper limit of containers' CPU resources is specified by the CPU limits parameter. Anolis OS 8.2, Alibaba Cloud Linux 2, and Alibaba Cloud Linux 3 also support the CPU Burst feature. The CPU Burst feature has been incorporated into Linux 5.14. The third part will introduce evaluating impacts of CPU Burst, and discuss how to configure CPU Burst to achieve the best results. The second part will analyze the size effects of CPU Burst. This article is divided into three parts. The CPU Burst technology we designed can guarantee the service quality of container operation without reducing the density of container deployment. Sometimes, people have to sacrifice container deployment density to avoid the occurrence of CPU throttling. The annoying CPU throttling affects container operation. By Huaixin Chang from Alibaba Cloud, core member of Cloud Kernel SIG in the OpenAnolis community.

How to fix cpu thortling