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Kubernetes

Kubernetes: Use Resource Requests vs Limits to Optimize Pod Scheduling

- 21.02.26 - ErcanOPAK

Not setting resources leads to unpredictable behavior. Requests guarantee minimum, Limits cap maximum.

Understanding the Difference:
– Requests: Guaranteed resources (used for scheduling)
– Limits: Maximum resources (hard cap)

Example Configuration:

apiVersion: v1
kind: Pod
metadata:
  name: myapp
spec:
  containers:
  - name: app
    image: myapp:1.0
    resources:
      requests:
        memory: "256Mi"
        cpu: "250m"     # 0.25 CPU core
      limits:
        memory: "512Mi"
        cpu: "500m"     # 0.5 CPU core

What Happens:
– Scheduler finds node with at least 256Mi RAM + 0.25 CPU available
– Pod gets guaranteed 256Mi + 0.25 CPU
– If pod tries to use >512Mi RAM → OOMKilled
– If pod tries to use >0.5 CPU → Throttled (not killed)

Best Practice: Set requests = normal usage, limits = peak usage

CPU Units: 1 = 1 CPU core, 100m = 0.1 core

Related posts:

Kubernetes — Pod Restarts Without Errors

Kubernetes: Namespace Resource Quotas to Prevent Cost Spikes

Kubernetes Pods Get Killed Without Errors

Post Views: 4

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