smom-dbis-138/docs/archive/status-reports/operations-legacy/REVIEW_HPA.md

HPA Review

Overview

HorizontalPodAutoscaler (HPA) has been configured for RPC nodes to automatically scale based on CPU and memory usage.

HPA Configuration

Target

• StatefulSet: besu-rpc
• Namespace: besu-network

Scaling Parameters

• Min Replicas: 2
• Max Replicas: 10
• CPU Target: 70% utilization
• Memory Target: 80% utilization

Scaling Behavior

• Scale Up: 100% increase or 2 pods per minute (whichever is higher)
• Scale Down: 50% decrease per minute
• Stabilization Window: 300 seconds (scale down), 0 seconds (scale up)

Validation

Run the validation script:

./scripts/validation/validate-hpa.sh

Application

Apply HPA:

kubectl apply -f k8s/base/rpc/hpa.yaml

Testing

Generate load on RPC endpoints and verify HPA scales pods based on CPU/memory usage.

Requirements

• Metrics server must be installed in the cluster
• Resource requests and limits must be set on pods
• HPA requires metrics API to be available