通过 kubectl 查看 K8s 内节点、Pod 资源使用情况

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通过 kubectl 查看 K8s 内节点、Pod 资源使用情况

2024-07-12 14:11| 来源: 网络整理| 查看: 265

一、kubectl describe node

可通过该命令查看 Pod 在节点上的资源分配情况（Request、Limits），如下：

# product 表示生产环境 kubectl describe node -l env=product # 执行结果 Namespace Name CPU Requests CPU Limits Memory Requests Memory Limits AGE --------- ---- ------------ ---------- --------------- ------------- --- product annoroad-clinicallims3-754dddb5cb-k5xkn 0 (0%) 0 (0%) 0 (0%) 0 (0%) 85d product annoroad-crm-796884585d-ts2xn 0 (0%) 0 (0%) 0 (0%) 0 (0%) 85d product annoroad-dms-6d658d564f-m6j7r 0 (0%) 0 (0%) 0 (0%) 0 (0%) 16d product annoroad-dms-server-6557c5bc85-45sw2 0 (0%) 0 (0%) 0 (0%) 0 (0%) 15d 二、kubectl top node

可通过该命令查看节点的资源使用情况，如下：

# product 表示生产环境 kubectl top node -l env=product # 执行结果 NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% cn-beijing.192.16.168.102 904m 11% 10340Mi 69% cn-beijing.192.16.168.103 1393m 17% 12810Mi 86% cn-beijing.192.16.168.104 1994m 24% 13281Mi 89% cn-beijing.192.16.168.105 987m 12% 9399Mi 63% cn-beijing.192.16.168.115 638m 15% 12017Mi 80% cn-beijing.192.16.168.118 806m 20% 9372Mi 62% cn-beijing.192.16.168.135 258m 6% 9696Mi 65% cn-beijing.192.16.168.136 871m 21% 10957Mi 73% cn-beijing.192.16.168.137 310m 7% 9322Mi 62% cn-beijing.192.16.168.138 943m 23% 11908Mi 80% 三、kubectl top pod

可通过该命令查看 Pod 资源使用情况，如下：

# product 表示生产环境 kubectl top pod -n product # 执行结果 NAME CPU(cores) MEMORY(bytes) annoroad-alpha-5dbd868d-lsvj5 2m 383Mi annoroad-applet-6f977779bc-2bgpn 3m 384Mi annoroad-applet-6f977779bc-mgdhw 3m 387Mi annoroad-applet-6f977779bc-qhqbg 2m 393Mi annoroad-beta-7c4d7c654f-m4rkf 2m 334Mi annoroad-clinicallims-67855bf4f5-9ddwd 4m 502Mi annoroad-clinicallims-67855bf4f5-rdq2s 3m 488Mi annoroad-clinicallims-67855bf4f5-vvrsn 3m 436Mi annoroad-clinicallims-67855bf4f5-zhbvk 4m 509Mi annoroad-clinicallims-67855bf4f5-zs65j 3m 420Mi annoroad-clinicallims3-56d9c87786-2ftzq 3m 596Mi 四、kubectl get pod -o wide |grep $node

可通过该命令查看指定 node 上运行的所有 pod，如下：

# product 表示生产环境 kubectl get pod -n product -o wide |grep cn-beijing.172.15.14.128 # 执行结果 annoroad-clinical-lims-8556cc6b76-57ctq 1/1 Running 6 20h 170.22.11.23 cn-beijing.172.15.14.128 annoroad-covid19-front-fdd7469ff-pg2hm 1/1 Running 0 29d 170.22.11.20 cn-beijing.172.15.14.128 annoroad-crm-7b9cd5c6c9-hj5s8 1/1 Running 0 10d 170.22.11.12 cn-beijing.172.15.14.128 annoroad-crm-server-696d4f5867-77bdd 1/1 Running 2 29d 170.22.11.122 cn-beijing.172.15.14.128 annoroad-gateway-55785fd8c-xlx4q 1/1 Running 0 88d 170.22.11.99 cn-beijing.172.15.14.128 五、kubectl top pod |grep -E “$podname1|$podname2|…”

可通过该命令查看一个 pod 或几个 pod 的资源使用情况，如下：

# product 表示生产环境 kubectl top pod -n product |grep -E "annoroad-clinical-lims-8556cc6b76-57ctq|annoroad-covid19-front-fdd7469ff-pg2hm" # 执行结果 annoroad-clinical-lims-8556cc6b76-57ctq 74m 1216Mi annoroad-covid19-front-fdd7469ff-pg2hm 1m 2Mi

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通过 kubectl 查看 K8s 内节点、Pod 资源使用情况

通过 kubectl 查看 K8s 内节点、Pod 资源使用情况

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