Control where pods run and how much they use

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$ مستخدم عادي# بصلاحية root (أو مع sudo)

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حدود الموارد و taints و affinity وقبول الحاويات

Set requests and limits

Requests reserve resources (the scheduler uses them). Limits cap them (CPU is throttled, memory over the limit is killed).

resources (container part)

resources:
  requests:
    cpu: 250m
    memory: 256Mi
  limits:
    cpu: "1"
    memory: 512Mi

$kubectl set resources deployment web --requests=cpu=250m,memory=256Mi --limits=cpu=1,memory=512Mi -n shop
$kubectl describe node worker1 | grep -A6 "Allocated resources"
$kubectl top nodes

تذكّر

250m = a quarter of a CPU. A pod stays Pending when no node has enough unrequested resources.

7.2

Limit a namespace

LimitRange sets defaults and maximums per container. ResourceQuota caps the total of a namespace.

limits.yaml

apiVersion: v1
kind: LimitRange
metadata: { name: defaults, namespace: shop }
spec:
  limits:
    - type: Container
      default: { cpu: 500m, memory: 512Mi }
      defaultRequest: { cpu: 100m, memory: 128Mi }
      max: { cpu: "2", memory: 2Gi }
---
apiVersion: v1
kind: ResourceQuota
metadata: { name: team-quota, namespace: shop }
spec:
  hard:
    requests.cpu: "4"
    requests.memory: 8Gi
    limits.cpu: "8"
    limits.memory: 16Gi
    pods: "30"

$kubectl create quota team-quota --hard=pods=30,requests.cpu=4 -n shop
$kubectl describe quota -n shop

7.3

Choose nodes with selectors and affinity

nodeSelector is a simple label match. Node affinity adds rules ("required" or "preferred"). Pod anti-affinity spreads copies over nodes.

$kubectl label node worker2 disk=ssd

affinity (pod spec part)

nodeSelector:
  disk: ssd
affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
            - { key: topology.kubernetes.io/zone, operator: In, values: [zone-a, zone-b] }
  podAntiAffinity:
    preferredDuringSchedulingIgnoredDuringExecution:
      - weight: 100
        podAffinityTerm:
          labelSelector: { matchLabels: { app: web } }
          topologyKey: kubernetes.io/hostname

7.4

Keep pods away with taints

A taint on a node repels pods. Only pods with a matching toleration may run there.

$kubectl taint nodes worker3 gpu=true:NoSchedule
$kubectl taint nodes worker3 gpu=true:NoSchedule-
$kubectl describe node cp1 | grep Taints
Taints:             node-role.kubernetes.io/control-plane:NoSchedule

toleration (pod spec part)

tolerations:
  - key: gpu
    operator: Equal
    value: "true"
    effect: NoSchedule

Effect	Meaning
NoSchedule	New pods without toleration are not placed here
PreferNoSchedule	Avoid if possible
NoExecute	Also evict running pods without toleration

تذكّر

A toleration allows a pod on a tainted node; it does not force it there. Combine with node affinity to force.

7.5

Run static pods

A static pod is a YAML file in the kubelet's manifest folder. The kubelet runs it directly, without the scheduler or the API server.

#grep staticPodPath /var/lib/kubelet/config.yaml
staticPodPath: /etc/kubernetes/manifests
#kubectl run static-web --image=nginx --dry-run=client -o yaml > /etc/kubernetes/manifests/static-web.yaml
$kubectl get pods -A | grep static-web

The pod appears with the node name as suffix (static-web-worker1). Delete it by removing the file.

7.6

Use priority classes

When resources are short, pods with a higher PriorityClass are scheduled first and can push lower ones out.

$kubectl create priorityclass critical-apps --value=100000 --description="Business critical"
$kubectl get priorityclass

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