unkinben
a5e6f12003
finding litellm performance has dropped, crashed in multiple cases, and then it had scaled to the maximum level using the majority of memory in cluster. - reduce the rate at which litellm autoscales - increase the requests/limits to match usage
42 lines
851 B
YAML
42 lines
851 B
YAML
---
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apiVersion: autoscaling/v2
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kind: HorizontalPodAutoscaler
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metadata:
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name: litellm-hpa
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namespace: litellm
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: litellm
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minReplicas: 2
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maxReplicas: 4
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 80
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behavior:
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scaleUp:
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stabilizationWindowSeconds: 0
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selectPolicy: Max
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policies:
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- type: Percent
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value: 100
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periodSeconds: 60
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- type: Pods
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value: 4
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periodSeconds: 30
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scaleDown:
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stabilizationWindowSeconds: 300
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selectPolicy: Min
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policies:
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- type: Percent
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value: 30
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periodSeconds: 60
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- type: Pods
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value: 2
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periodSeconds: 60
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