This content originally appeared on DEV Community and was authored by Latchu@DevOps
In this scenario, you will:
- Create a Pod with CPU/memory requests (minimum guaranteed)
- Set limits (maximum allowed)
- Verify how Kubernetes schedules and restricts resource usage
- Inspect assigned resources in running Pod
This is a core Kubernetes skill that every DevOps/SRE must master.
Step 1 β Create a Pod With Resource Requests & Limits
Create file:
# resources-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: resource-demo
spec:
containers:
- name: nginx
image: nginx:1.25
resources:
requests:
memory: "128Mi"
cpu: "100m" # 0.1 CPU core
limits:
memory: "256Mi"
cpu: "500m" # 0.5 CPU core
ports:
- containerPort: 80
Apply:
kubectl apply -f resources-pod.yaml
Step 2 β Verify Pod Status
kubectl get pod resource-demo -o wide
Pod should be running.
Step 3 β Inspect Resource Configuration
Run:
kubectl describe pod resource-demo
Look for:
Limits:
cpu: 500m
memory: 256Mi
Requests:
cpu: 100m
memory: 128Mi
This confirms:
β Requests = Minimum guaranteed
β Limits = Maximum allowed
What This Means in Real Life
- Kubernetes schedules the Pod only on nodes that have 128Mi RAM + 100m CPU free
- The Pod cannot exceed 256Mi RAM or it will be OOMKilled
- The Pod cannot use more than 500m CPU β throttling will occur
Step 4 β Test OOMKill (Optional Challenge)
Exec into the container:
kubectl exec -it resource-demo -- bash
Run a memory stress test (if you have stress inside containerβit won’t be there in nginx).
So instead run a simple memory loop:
head -c 300M </dev/zero | tail
Pod will exceed 256Mi β Kubernetes will kill it with OOMKilled.
Check:
kubectl get pod resource-demo
kubectl describe pod resource-demo | grep -i oom
You’ll see:
OOMKilled
Step 5 β Clean Up
kubectl delete pod resource-demo
Thanks for reading! If this post added value, a like
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β Latchu | Senior DevOps & Cloud Engineer
AWS | GCP |
Kubernetes |
Security |
Automation
Sharing hands-on guides, best practices & real-world cloud solutions
This content originally appeared on DEV Community and was authored by Latchu@DevOps


