62 lines
2.4 KiB
YAML
62 lines
2.4 KiB
YAML
apiVersion: v1
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kind: Secret
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metadata:
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name: keda-prom-secret
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namespace: bj2-dcloud
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stringData:
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customAuthHeader: "Authorization"
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customAuthValue: "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lc3BhY2UiOiJjcHJvbS11ejJuZ3J6YmpyN243Iiwic2VjcmV0TmFtZSI6IjJjMTI4NGJhZTUxYjRiZjNhMmU2MjM1NTc4NDRjNmQ2IiwiZXhwIjo0OTIzODc3ODIyLCJpc3MiOiJjcHJvbSJ9.idZaTKtQR4WOyr29T_TKZ9cGz2nW9N5Mw-5SBu321p8"
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---
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apiVersion: keda.sh/v1alpha1
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kind: TriggerAuthentication
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metadata:
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name: keda-prom-creds
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namespace: bj2-dcloud
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spec:
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secretTargetRef:
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- parameter: customAuthHeader
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name: keda-prom-secret
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key: customAuthHeader
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- parameter: customAuthValue
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name: keda-prom-secret
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key: customAuthValue
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---
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apiVersion: keda.sh/v1alpha1
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kind: ScaledObject
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metadata:
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name: gpu-metrics-scaledobject
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namespace: bj2-dcloud
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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: dstereox
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minReplicaCount: 1
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maxReplicaCount: 2
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# idleReplicaCount: 0 # 当指标为0时，保持0副本
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pollingInterval: 30 # 每30秒检查一次指标
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cooldownPeriod: 300 # 扩容后等待5分钟再进行下一次扩容
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# initialCooldownPeriod: 0 # 启动后立即检查指标
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# fallback: # Optional. Section to specify fallback options
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# failureThreshold: 3 # Mandatory if fallback section is included
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# replicas: 6 # Mandatory if fallback section is included
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# behavior: {kind-of-behavior} # Optional. Default: "static"
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triggers:
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# ---------------------------------------------------------
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# 触发器 1: 基于 GPU 利用率 (DCGM)
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# ---------------------------------------------------------
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- type: prometheus
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metadata:
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serverAddress: https://cprom.bj.baidubce.com/select/prometheus
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metricName: dcgm_gpu_utilization
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# query: avg(avg_over_time(DCGM_FI_DEV_GPU_UTIL{namespace="bj2-dcloud",pod=~"dstereox-.*"}[3m]))
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query: max(avg_over_time(DCGM_FI_DEV_GPU_UTIL{pod_name=~"dstereox.*"}[3m]))
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customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
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threshold: "50" # 80%利用率时扩容；计算目标副本数
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activationThreshold: "30" # 30%利用率时开始扩容；判断是否激活 scaler
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authModes: "custom"
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authenticationRef:
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name: keda-prom-creds |