Graviton on EKS

Overview

Graviton instances use AWS-designed ARM processors for better price-performance.

Instance Types

Instance	vCPU	Memory	Use Case
m6g.medium	1	4 GB	Small workloads
m6g.xlarge	4	16 GB	General purpose
c6g.2xlarge	8	16 GB	Compute optimized
r6g.large	2	16 GB	Memory optimized
m6gd.xlarge	4	16 GB	With local NVMe

Create Node Group with Graviton

eksctl create nodegroup \
  --cluster my-cluster \
  --name graviton-workers \
  --node-type m6g.xlarge \
  --nodes 3 \
  --nodes-min 1 \
  --nodes-max 10 \
  --managed

Multi-Architecture Images

apiVersion: v1
kind: Pod
spec:
  nodeSelector:
    kubernetes.io/arch: arm64
  containers:
  - name: app
    image: myapp:latest

Benefits

• 20% better price-performance vs x86
• Lower memory pricing
• Better performance for ARM-native workloads
• Energy efficient

Considerations

• Ensure your application is ARM-compatible
• Multi-architecture container images required
• Some AWS integrations may have limitations

References

• EKS Workshop - Graviton
• Graviton Processor