I am trying to add resource and limits to my deployment on Kuberenetes Engine since one of my deployment on the pod is continuously getting evicted with an error message The node was low on resource: memory. Container model-run was using 1904944Ki, which exceeds its request of 0. I assume that the issue could be resolved by adding resource requests.
When I try to add resource requests and deploy, the deployment is successful but when I go back and and view detailed information about the Pod, with the command kubectl get pod default-pod-name --output=yaml --namespace=default It still says the pod has request of cpu: 100m and without any mention of memory that I have allotted. I am guessing that the cpu request of 100m was a default one. Please let me know how I can allot the requests and limits, the code I am using to deploy is as follows:
kubectl run model-run --image-pull-policy=Always --overrides='
{
"apiVersion": "apps/v1beta1",
"kind": "Deployment",
"metadata": {
"name": "model-run",
"labels": {
"app": "model-run"
}
},
"spec": {
"selector": {
"matchLabels": {
"app": "model-run"
}
},
"template": {
"metadata": {
"labels": {
"app": "model-run"
}
},
"spec": {
"containers": [
{
"name": "model-run",
"image": "gcr.io/some-project/news/model-run:development",
"imagePullPolicy": "Always",
"resouces": {
"requests": [
{
"memory": "2048Mi",
"cpu": "500m"
}
],
"limits": [
{
"memory": "2500Mi",
"cpu": "750m"
}
]
},
"volumeMounts": [
{
"name": "credentials",
"readOnly": true,
"mountPath":"/path/collection/keys"
}
],
"env":[
{
"name":"GOOGLE_APPLICATION_CREDENTIALS",
"value":"/path/collection/keys/key.json"
}
]
}
],
"volumes": [
{
"name": "credentials",
"secret": {
"secretName": "credentials"
}
}
]
}
}
}
}
' --image=gcr.io/some-project/news/model-run:development
Any solution will be appreciated
It seems we can not override limits through --overrides flag. What you can do is you could pass limits with the kubectl command.
kubectl run model-run --image-pull-policy=Always --requests='cpu=500m,memory=2048Mi' --limits='cpu=750m,memory=2500Mi' --overrides='
{
"apiVersion": "apps/v1beta1",
"kind": "Deployment",
"metadata": {
"name": "model-run",
"labels": {
"app": "model-run"
}
},
"spec": {
"selector": {
"matchLabels": {
"app": "model-run"
}
},
"template": {
"metadata": {
"labels": {
"app": "model-run"
}
},
"spec": {
"containers": [
{
"name": "model-run",
"image": "gcr.io/some-project/news/model-run:development",
"imagePullPolicy": "Always",
"resouces": {
"requests": [
{
"memory": "2048Mi",
"cpu": "500m"
}
],
"limits": [
{
"memory": "2500Mi",
"cpu": "750m"
}
]
},
"volumeMounts": [
{
"name": "credentials",
"readOnly": true,
"mountPath":"/path/collection/keys"
}
],
"env":[
{
"name":"GOOGLE_APPLICATION_CREDENTIALS",
"value":"/path/collection/keys/key.json"
}
]
}
],
"volumes": [
{
"name": "credentials",
"secret": {
"secretName": "credentials"
}
}
]
}
}
}
}
' --image=gcr.io/some-project/news/model-run:development
The node was low on resource: memory. Container model-run was using 1904944Ki, which exceeds its request of 0.
At first the message seems like there is a lack of resource in the node itself but the second part makes me believe you are correct in trying to raise the request limit for the container.
Just keep in mind that if you still face errors after this change, you might need to add mode powerful node-pools to your cluster.
I went through your command, there is a few issues I'd like to highlight:
kubectl run was deprecated in 1.12 to all resources except for pods and it is retired in version 1.18.apiVersion": "apps/v1beta1 is deprecated, and starting on v 1.16 it is no longer be supported, I replaced with apps/v1.spec.template.spec.container it's written "resouces" instead of "resources"requests and limits are written in array format, but they need to be in a list, otherwise you get this error:kubectl run --generator=deployment/apps.v1 is DEPRECATED and will be removed in a future version. Use kubectl run --generator=run-pod/v1 or kubectl create instead.
error: v1beta1.Deployment.Spec: v1beta1.DeploymentSpec.Template: v1.PodTemplateSpec.Spec: v1.PodSpec.Containers: []v1.Container: v1.Container.Resources: v1.ResourceRequirements.Limits: ReadMapCB: expect { or n, but found [, error found in #10 byte of ...|"limits":[{"cpu":"75|..., bigger context ...|Always","name":"model-run","resources":{"limits":[{"cpu":"750m","memory":"2500Mi"}],"requests":[{"cp|...kubectl run model-run --image-pull-policy=Always --overrides='{
"apiVersion": "apps/v1",
"kind": "Deployment",
"metadata": {
"name": "model-run",
"labels": {
"app": "model-run"
}
},
"spec": {
"selector": {
"matchLabels": {
"app": "model-run"
}
},
"template": {
"metadata": {
"labels": {
"app": "model-run"
}
},
"spec": {
"containers": [
{
"name": "model-run",
"image": "nginx",
"imagePullPolicy": "Always",
"resources": {
"requests": {
"memory": "2048Mi",
"cpu": "500m"
},
"limits": {
"memory": "2500Mi",
"cpu": "750m"
}
},
"volumeMounts": [
{
"name": "credentials",
"readOnly": true,
"mountPath": "/path/collection/keys"
}
],
"env": [
{
"name": "GOOGLE_APPLICATION_CREDENTIALS",
"value": "/path/collection/keys/key.json"
}
]
}
],
"volumes": [
{
"name": "credentials",
"secret": {
"secretName": "credentials"
}
}
]
}
}
}
}' --image=gcr.io/some-project/news/model-run:development
v1.15.11-gke.13 , here is the output of kubectl get pod X -o yaml:$ kubectl get pods
NAME READY STATUS RESTARTS AGE
model-run-7bd8d79c7d-brmrw 1/1 Running 0 17s
$ kubectl get pod model-run-7bd8d79c7d-brmrw -o yaml
apiVersion: v1
kind: Pod
metadata:
labels:
app: model-run
pod-template-hash: 7bd8d79c7d
run: model-run
name: model-run-7bd8d79c7d-brmrw
namespace: default
spec:
containers:
- env:
- name: GOOGLE_APPLICATION_CREDENTIALS
value: /path/collection/keys/key.json
image: nginx
imagePullPolicy: Always
name: model-run
resources:
limits:
cpu: 750m
memory: 2500Mi
requests:
cpu: 500m
memory: 2Gi
volumeMounts:
- mountPath: /path/collection/keys
name: credentials
readOnly: true
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: default-token-tjn5t
readOnly: true
nodeName: gke-cluster-115-default-pool-abca4833-4jtx
restartPolicy: Always
volumes:
- name: credentials
secret:
defaultMode: 420
secretName: credentialsIf you still have any question let me know in the comments!