Kubernetes手记(19)- 容器资源限制
2023-05-12 07:08:53 阅读次数:248
docker,Kubernetes,容器
1 颗 CPU = 1000 millicores
0.5 颗 CPU = 500 m
19.1 资源限制
- 清单格式,详见:kubectl explain pods.spec.containers.resources
resources <Object> # 资源限制
limits <map[string]string> # 资源最高限制
cpu <string> # 单位 m
memory <string> # 单位 Gi、Mi
requests <map[string]string> # 资源最低要求
cpu <string> # 单位 m
memory <string> # 单位 Gi、Mi
- 清单示例,node 节点的 CPU 为 12 核心,cpu limits 设置为 1000m 也就是允许
apiVersion: v1
kind: Pod
metadata:
name: pod-resources-demo
namespace: default
labels:
app: myapp
tier: frontend
spec:
containers:
- name: nginx
image: ikubernetes/stress-ng
command:
- "/usr/bin/stress-ng"
#- "-m 1" # 以单线程压测内存
- "-c 1" # 以单线程压测CPU
- "--metrics-brief"
ports:
- name: http
containerPort: 80
- name: https
containerPort: 443
resources:
requests:
cpu: 1000m # 它决定在预选阶段淘汰哪些主机
memory: 512Mi
limits:
cpu: 1000m # 表示限制容器使用 node 节点的一颗 CPU,无论多少进程,它们最多只能占用 node 节点的可 CPU
memory: 512Mi
Mem: 855392K used, 139916K free, 10188K shrd, 796K buff, 350368K cached
CPU0: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU1: 100% usr 0% sys 0% nic 0% idle 0% io 0% irq 0% sirq # 占满了一颗 CPU
CPU2: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU3: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU4: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU5: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU6: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU7: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU8: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU9: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU10: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
CPU11: 0% usr 0% sys 0% nic 99% idle 0% io 0% irq 0% sirq
Load average: 0.84 0.50 0.40 3/485 11
PID PPID USER STAT VSZ %VSZ CPU %CPU COMMAND
6 1 root R 6888 1% 1 8% {stress-ng-cpu} /usr/bin/stress-ng -c 1 --metrics-brief
1 0 root S 6244 1% 10 0% /usr/bin/stress-ng -c 1 --metrics-brief
7 0 root R 1504 0% 11 0% top
19.2 qos 质量管理
每个容器同时设置了 CPU 和内存的 requests 和 limits,而且
cpu.limits = cpu.requests
memory.limits = memory.requests
那么它将优先被调度
至少有一个容器设置 CPU 或内存资源的 requests 属性
那么它将具有中等优先级
没有任何一个容器设置了 requests 或 limits 属性
那么它将只有最低优先级,当资源不够用的时候,这个容器可能最先被终止,以腾出资源来,为 Burstable 和 Guranteed
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