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Cluster information:
Kubernetes version: v1.26.5
Host OS: centos8
CNI and version: cni-plugins-linux-arm64-v1.3.0
containerd version: containerd GitHub - containerd/containerd: An open and reliable container runtime v1.7.1 1677a17964311325ed1c31e2c0a3589ce6d5c30d
Question：
I allocated 64Gi of memory to a Deployment and started an algorithm process in it. After a period of time (about an hour), it was found that the process occupied a large amount of memory 400Gi, causing the host to crash OOM.
When the Pod is running, you cannot use the ps -aux command or the top command to check that the memory usage of the process has become high. However, you can use free -h to find that the memory usage increases until it exceeds the Pod memory limit and causes the system to crash due to OOM.
The configuration file is as follows:
command: ["sh", "-c"]
args:
- cd /home/** && python main.py --mode stream --videostream-path data/test.mp4 --weights data/model/yolov5l_310P3.om
resources:
limits:
cpu: "16"
memory: 64Gi
requests:
cpu: "8"
memory: 32Gi
Since I can only upload one picture, I stitched together several pictures and put them in together.
