kubectl plugin lists allocations for resources (cpu, memory, gpu,...) as defined into the manifest of nodes and running pods. It doesn't list usage like kubectl top. It can provide result grouped by namespaces, nodes, pods and filtered by resources'name.
Columns displayed :
Requested : Quantity of resources requested by the container in the pod's manifest. It's the sum group by pod, namespace, node where container is running. With percentage of resources requested over what is allocatable in the group.Limit : Quantity of resources max (limit) requestable by the container in the pod's manifest. It's the sum group by pod, namespace, node where container is running. With percentage of resources max / limit over what is allocatable in the group.Allocatable : Allocatable resources defined (or detected) on nodes.Free : Allocatable - max (Limit, Requested)Download from github's release or use script
sh
curl https://raw.githubusercontent.com/davidB/kubectl-view-allocations/master/scripts/getLatest.sh | bash
sh
kubectl krew install view-allocations
sh
cargo install kubectl-view-allocations
```txt kubectl-view-allocations -h
kubectl-view-allocations 0.13.0 https://github.com/davidB/kubectl-view-allocations kubectl plugin to list allocations (cpu, memory, gpu,... X requested, limit, allocatable,...)
USAGE: kubectl-view-allocations [FLAGS] [OPTIONS]
FLAGS: -h, --help Prints help information -z, --show-zero Show lines with zero requested and zero limit and zero allocatable -u, --utilization Retrieve utilization (for cpu and memory), require to have metrics-server https://github.com/kubernetes-sigs/metrics-server -V, --version Prints version information
OPTIONS:
--context
```txt
kubectl-view-allocations -r gpu
Resource Requested Limit Allocatable Free nvidia.com/gpu (71%) 10.0 (71%) 10.0 14.0 4.0 ├─ node-gpu1 (0%) _ (0%) _ 2.0 2.0 ├─ node-gpu2 (0%) _ (0%) _ 2.0 2.0 ├─ node-gpu3 (100%) 2.0 (100%) 2.0 2.0 _ │ └─ fah-gpu-cpu-d29sc 2.0 2.0 _ _ ├─ node-gpu4 (100%) 2.0 (100%) 2.0 2.0 _ │ └─ fah-gpu-cpu-hkg59 2.0 2.0 _ _ ├─ node-gpu5 (100%) 2.0 (100%) 2.0 2.0 _ │ └─ fah-gpu-cpu-nw9fc 2.0 2.0 _ _ ├─ node-gpu6 (100%) 2.0 (100%) 2.0 2.0 _ │ └─ fah-gpu-cpu-gtwsf 2.0 2.0 _ _ └─ node-gpu7 (100%) 2.0 (100%) 2.0 2.0 _ └─ fah-gpu-cpu-x7zfb 2.0 2.0 _ __ ```
```sh
kubectl-view-allocations -g resource
Resource Requested Limit Allocatable Free cpu (21%) 56.7 (65%) 176.1 272.0 95.9 ephemeral-storage (0%) _ (0%) _ 38.4T 38.4T memory (8%) 52.7Gi (15%) 101.3Gi 675.6Gi 574.3Gi nvidia.com/gpu (71%) 10.0 (71%) 10.0 14.0 4.0 pods (9%) 147.0 (9%) 147.0 1.6k 1.5k ```
```sh
kubectl-view-allocations -u
Resource Utilization Requested Limit Allocatable Free cpu (0%) 69.0m (6%) 950.0m (1%) 100.0m 16.0 15.1 └─ kind-control-plane (0%) 69.0m (6%) 950.0m (1%) 100.0m 16.0 15.1 ├─ coredns-74ff55c5b-ckc9w 1.0m 100.0m _ _ _ ├─ coredns-74ff55c5b-kmfll 1.0m 100.0m _ _ _ ├─ etcd-kind-control-plane 14.0m 100.0m _ _ _ ├─ kindnet-f5f82 1.0m 100.0m 100.0m _ _ ├─ kube-apiserver-kind-control-plane 38.0m 250.0m _ _ _ ├─ kube-controller-manager-kind-control-plane 9.0m 200.0m _ _ _ ├─ kube-proxy-vh8c2 1.0m _ _ _ _ ├─ kube-scheduler-kind-control-plane 1.0m 100.0m _ _ _ ├─ local-path-provisioner-78776bfc44-l4v2m 1.0m _ _ _ _ ├─ metrics-server-5b78d5f9c6-2scnc 1.0m _ _ _ _ └─ nvidia-device-plugin-daemonset-ctldt 1.0m _ _ _ _ ephemeral-storage _ (0%) 100.0Mi _ 468.4Gi 468.4Gi └─ kind-control-plane _ (0%) 100.0Mi _ 468.4Gi 468.4Gi └─ etcd-kind-control-plane _ 100.0Mi _ _ _ memory (1%) 466.3Mi (1%) 290.0Mi (1%) 390.0Mi 31.3Gi 30.9Gi └─ kind-control-plane (1%) 466.3Mi (1%) 290.0Mi (1%) 390.0Mi 31.3Gi 30.9Gi ├─ coredns-74ff55c5b-ckc9w 11.3Mi 70.0Mi 170.0Mi _ _ ├─ coredns-74ff55c5b-kmfll 10.5Mi 70.0Mi 170.0Mi _ _ ├─ etcd-kind-control-plane 72.7Mi 100.0Mi _ _ _ ├─ kindnet-f5f82 9.1Mi 50.0Mi 50.0Mi _ _ ├─ kube-apiserver-kind-control-plane 255.0Mi _ _ _ _ ├─ kube-controller-manager-kind-control-plane 46.6Mi _ _ _ _ ├─ kube-proxy-vh8c2 15.7Mi _ _ _ _ ├─ kube-scheduler-kind-control-plane 18.5Mi _ _ _ _ ├─ local-path-provisioner-78776bfc44-l4v2m 8.4Mi _ _ _ _ ├─ metrics-server-5b78d5f9c6-2scnc 15.2Mi _ _ _ _ └─ nvidia-device-plugin-daemonset-ctldt 3.5Mi _ _ _ _ pods _ (10%) 11.0 (10%) 11.0 110.0 99.0 └─ kind-control-plane __ (10%) 11.0 (10%) 11.0 110.0 99.0 ```
```sh
kubectl-view-allocations -g namespace
Resource Requested Limit Allocatable Free cpu (21%) 56.7 (65%) 176.1 272.0 95.9 ├─ default 42.1 57.4 ├─ dev 5.3 102.1 ├─ dns-external 200.0m _ ├─ docs 150.0m 600.0m ├─ ingress-nginx 200.0m 1.0 ├─ kube-system 2.1 1.4 ├─ loki 1.2 2.4 ├─ monitoring 3.5 7.0 ├─ sharelatex 700.0m 2.4 └─ weave 1.3 1.8 ephemeral-storage (0%) _ (0%) __ 38.4T 38.4T memory (8%) 52.7Gi (15%) 101.3Gi 675.6Gi 574.3Gi ├─ default 34.6Gi 60.0Gi ├─ dev 5.3Gi 22.1Gi ├─ dns-external 140.0Mi 340.0Mi ├─ docs 448.0Mi 768.0Mi ├─ ingress-nginx 256.0Mi 1.0Gi ├─ kube-system 840.0Mi 1.0Gi ├─ loki 1.5Gi 1.6Gi ├─ monitoring 5.9Gi 5.7Gi ├─ sharelatex 2.5Gi 7.0Gi └─ weave 1.3Gi 1.8Gi nvidia.com/gpu (71%) 10.0 (71%) 10.0 14.0 4.0 └─ dev 10.0 10.0 pods (9%) 147.0 (9%) 147.0 1.6k 1.5k ├─ cert-manager 3.0 3.0 ├─ default 13.0 13.0 ├─ dev 9.0 9.0 ├─ dns-external 2.0 2.0 ├─ docs 8.0 8.0 ├─ ingress-nginx 2.0 2.0 ├─ kube-system 43.0 43.0 ├─ loki 12.0 12.0 ├─ monitoring 38.0 38.0 ├─ sharelatex 3.0 3.0 └─ weave 14.0 14.0 ```
In this case value as expanded as float (with 2 decimal)
sh
kubectl-view-allocations -o csv
Date,Kind,resource,node,pod,Requested,%Requested,Limit,%Limit,Allocatable,Free
2020-08-19T19:12:48.326605746+00:00,resource,cpu,,,59.94,22%,106.10,39%,272.00,165.90
2020-08-19T19:12:48.326605746+00:00,node,cpu,node-gpu1,,2.31,19%,4.47,37%,12.00,7.53
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu1,yyy-b8bd56fbd-5x8vq,1.00,,2.00,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu1,kube-flannel-ds-amd64-7dz9z,0.10,,0.10,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu1,node-exporter-gpu-b4w7s,0.11,,0.22,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu1,xxx-backend-7d84544458-46qnh,1.00,,2.00,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu1,weave-scope-agent-bbdnz,0.10,,0.15,,,
2020-08-19T19:12:48.326605746+00:00,node,cpu,node-gpu2,,0.31,1%,0.47,2%,24.00,23.53
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu2,kube-flannel-ds-amd64-b5b4v,0.10,,0.10,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu2,node-exporter-gpu-796jz,0.11,,0.22,,,
2020-08-19T19:12:48.326605746+00:00,pod,cpu,node-gpu2,weave-scope-agent-8rhnd,0.10,,0.15,,,
2020-08-19T19:12:48.326605746+00:00,node,cpu,node-gpu3,,3.41,11%,6.67,21%,32.00,25.33
...
It can be combined with "group-by" options.
sh
kubectl-view-allocations -g resource -o csv
Date,Kind,resource,Requested,%Requested,Limit,%Limit,Allocatable,Free
2020-08-19T19:11:49.630864028+00:00,resource,cpu,59.94,22%,106.10,39%,272.00,165.90
2020-08-19T19:11:49.630864028+00:00,resource,ephemeral-storage,0.00,0%,0.00,0%,34462898618662.00,34462898618662.00
2020-08-19T19:11:49.630864028+00:00,resource,hugepages-1Gi,0.00,,0.00,,,
2020-08-19T19:11:49.630864028+00:00,resource,hugepages-2Mi,0.00,,0.00,,,
2020-08-19T19:11:49.630864028+00:00,resource,memory,69063409664.00,10%,224684670976.00,31%,722318667776.00,497633996800.00
2020-08-19T19:11:49.630864028+00:00,resource,nvidia.com/gpu,3.00,27%,3.00,27%,11.00,8.00
2020-08-19T19:11:49.630864028+00:00,resource,pods,0.00,0%,0.00,0%,1540.00,1540.00