init
This commit is contained in:
commit
8f2e773def
88
keda/http-add-on/charts/values.yaml
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88
keda/http-add-on/charts/values.yaml
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@ -0,0 +1,88 @@
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# KEDA HTTP Add-on 配置
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# 基于 HTTPRoute: dstereox-public (namespace: bj2-dcloud)
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# 对应服务: dstereox-svc:80
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# 请求超时: 3600s (1小时)
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# 基础配置
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namespace: keda
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nameOverride: keda-http-add-on
|
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# 核心:启用 Gateway API 支持(使用 HTTPRoute 必须开启)
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gatewayApi:
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enabled: true
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allowCrossNamespace: true # 支持跨命名空间的 Gateway/HTTPRoute 引用
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# 关闭 Ingress 支持(仅使用 Gateway API)
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ingress:
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enabled: false
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# Interceptor 配置 - 拦截和代理 HTTP 请求
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interceptor:
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replicaCount: 1 # 生产环境建议至少 2 副本,避免单点故障
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# 资源配置
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resources:
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limits:
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cpu: 1000m # 根据流量调整
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memory: 1Gi
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requests:
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cpu: 500m
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memory: 512Mi
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# 代理超时设置 - 匹配 HTTPRoute 的 3600s 超时
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proxy:
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timeout: 3600s
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# 就绪和存活探针配置
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livenessProbe:
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initialDelaySeconds: 10
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periodSeconds: 10
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readinessProbe:
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initialDelaySeconds: 5
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periodSeconds: 5
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# Operator 配置 - 监听和管理 HTTPScaledObject 资源
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operator:
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replicaCount: 1 # 高可用部署
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# 监听的命名空间(与 HTTPRoute 所在命名空间一致)
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watchedNamespaces: ["bj2-dcloud"]
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# 资源配置
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resources:
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limits:
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cpu: 500m
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memory: 512Mi
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requests:
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cpu: 200m
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memory: 256Mi
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# Scaler 配置 - 处理扩缩容逻辑
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scaler:
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replicaCount: 1 # 高可用
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resources:
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limits:
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cpu: 500m
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memory: 512Mi
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requests:
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cpu: 200m
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memory: 256Mi
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# 指标服务端点配置
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metricsServer:
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port: 9090
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# RBAC 配置
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rbac:
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create: true
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|
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# ServiceAccount 配置
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serviceAccount:
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create: true
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annotations: {}
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# 全局镜像配置(如需使用私有镜像仓库)
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# images:
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# pullPolicy: IfNotPresent
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# pullSecrets: []
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137
keda/http-add-on/httpscaledobject.yaml
Normal file
137
keda/http-add-on/httpscaledobject.yaml
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@ -0,0 +1,137 @@
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apiVersion: http.keda.sh/v1alpha1
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kind: HTTPScaledObject
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metadata:
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name: dstereox-http-scaler2
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namespace: bj2-dcloud
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# labels:
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# app.kubernetes.io/name: dstereox
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# app.kubernetes.io/instance: dcloud-dstereox
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spec:
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hosts:
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- annomidware-dev.d-robotics.cc
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pathPrefixes:
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- /v1/predict
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# 目标 Deployment 或 StatefulSet
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scaleTargetRef:
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name: dstereox
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kind: Deployment
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apiVersion: apps/v1
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service: dstereox-svc # 对应 HTTPRoute 中的后端服务
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port: 80
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||||
# 副本数配置
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replicas:
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min: 0 # 支持缩容到 0(空闲时节省资源)
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max: 2 # 最大副本数(根据实际需求调整)
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||||
# 扩缩容策略
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scalingMetric:
|
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requestRate:
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granularity: 1s
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targetValue: 2 # 每秒 10 个请求触发扩容
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window: 1m # 1 分钟时间窗口
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||||
|
||||
# # 针对长耗时请求的配置
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# responseTime:
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# targetValue: 1000 # 目标响应时间 1000ms
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# window: 1m
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||||
|
||||
# 扩缩容行为控制
|
||||
scaledownPeriod: 300
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||||
targetPendingRequests: 8 # 等待处理的请求数阈值
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||||
|
||||
# 扩缩容速率限制
|
||||
# advanced:
|
||||
# horizontalPodAutoscalerConfig:
|
||||
# behavior:
|
||||
# scaleDown:
|
||||
# stabilizationWindowSeconds: 300 # 缩容稳定窗口 5 分钟
|
||||
# policies:
|
||||
# - type: Percent
|
||||
# value: 50 # 每次最多缩容 50%
|
||||
# periodSeconds: 60
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||||
# - type: Pods
|
||||
# value: 1 # 每次最多缩容 2 个 Pod
|
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# periodSeconds: 60
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# selectPolicy: Min # 选择最保守的策略
|
||||
# scaleUp:
|
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# stabilizationWindowSeconds: 0 # 立即扩容
|
||||
# policies:
|
||||
# - type: Percent
|
||||
# value: 100 # 每次最多扩容 100%
|
||||
# periodSeconds: 15
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||||
# - type: Pods
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||||
# value: 4 # 每次最多扩容 4 个 Pod
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# periodSeconds: 15
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# selectPolicy: Max # 选择最激进的策略
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|
||||
# Gateway API 路由配置(对应您的 HTTPRoute)
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||||
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||||
|
||||
---
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# 可选:ScaledObject(如果需要额外的 KEDA 触发器,如 GPU/CPU 指标)
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||||
# apiVersion: keda.sh/v1alpha1
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# kind: ScaledObject
|
||||
# metadata:
|
||||
# name: dstereox-combined-scaler
|
||||
# namespace: bj2-dcloud
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||||
# labels:
|
||||
# app.kubernetes.io/name: dstereox
|
||||
# app.kubernetes.io/instance: dcloud-dstereox
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||||
# spec:
|
||||
# scaleTargetRef:
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# name: dstereox # 与 HTTPScaledObject 指向同一 Deployment
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# kind: Deployment
|
||||
# apiVersion: apps/v1
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||||
|
||||
# minReplicaCount: 0
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||||
# maxReplicaCount: 10
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||||
# pollingInterval: 30
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# cooldownPeriod: 300
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||||
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||||
# triggers:
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||||
# # HTTP 请求队列触发器(由 KEDA HTTP Add-on 提供)
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||||
# - type: external
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# metadata:
|
||||
# scalerAddress: keda-http-add-on-external-scaler.keda:9090
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||||
# service: dstereox-svc
|
||||
# namespace: bj2-dcloud
|
||||
# targetPendingRequests: "10"
|
||||
|
||||
# # CPU 利用率触发器(可选)
|
||||
# - type: cpu
|
||||
# metricType: Utilization
|
||||
# metadata:
|
||||
# value: "80" # CPU 使用率超过 80% 时扩容
|
||||
|
||||
# # 内存利用率触发器(可选)
|
||||
# - type: memory
|
||||
# metricType: Utilization
|
||||
# metadata:
|
||||
# value: "80" # 内存使用率超过 80% 时扩容
|
||||
|
||||
# # 扩缩容行为
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||||
# advanced:
|
||||
# horizontalPodAutoscalerConfig:
|
||||
# behavior:
|
||||
# scaleDown:
|
||||
# stabilizationWindowSeconds: 300
|
||||
# policies:
|
||||
# - type: Percent
|
||||
# value: 50
|
||||
# periodSeconds: 60
|
||||
# - type: Pods
|
||||
# value: 2
|
||||
# periodSeconds: 60
|
||||
# selectPolicy: Min
|
||||
# scaleUp:
|
||||
# stabilizationWindowSeconds: 0
|
||||
# policies:
|
||||
# - type: Percent
|
||||
# value: 100
|
||||
# periodSeconds: 15
|
||||
# - type: Pods
|
||||
# value: 4
|
||||
# periodSeconds: 15
|
||||
# selectPolicy: Max
|
||||
85
keda/scaledobject_cpu_util.yaml
Normal file
85
keda/scaledobject_cpu_util.yaml
Normal file
@ -0,0 +1,85 @@
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: keda-prom-secret
|
||||
namespace: bj2-dcloud
|
||||
stringData:
|
||||
customAuthHeader: "Authorization"
|
||||
customAuthValue: "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lc3BhY2UiOiJjcHJvbS11ejJuZ3J6YmpyN243Iiwic2VjcmV0TmFtZSI6IjJjMTI4NGJhZTUxYjRiZjNhMmU2MjM1NTc4NDRjNmQ2IiwiZXhwIjo0OTIzODc3ODIyLCJpc3MiOiJjcHJvbSJ9.idZaTKtQR4WOyr29T_TKZ9cGz2nW9N5Mw-5SBu321p8"
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: TriggerAuthentication
|
||||
metadata:
|
||||
name: keda-prom-creds
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
secretTargetRef:
|
||||
- parameter: customAuthHeader
|
||||
name: keda-prom-secret
|
||||
key: customAuthHeader
|
||||
- parameter: customAuthValue
|
||||
name: keda-prom-secret
|
||||
key: customAuthValue
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: ScaledObject
|
||||
metadata:
|
||||
name: gpu-metrics-scaledobject
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: dstereox
|
||||
minReplicaCount: 1
|
||||
maxReplicaCount: 2
|
||||
# idleReplicaCount: 0 # 当指标为0时,保持0副本
|
||||
pollingInterval: 30 # 每30秒检查一次指标
|
||||
cooldownPeriod: 300 # 扩容后等待5分钟再进行下一次扩容
|
||||
# initialCooldownPeriod: 0 # 启动后立即检查指标
|
||||
|
||||
# fallback: # Optional. Section to specify fallback options
|
||||
# failureThreshold: 3 # Mandatory if fallback section is included
|
||||
# replicas: 6 # Mandatory if fallback section is included
|
||||
# behavior: {kind-of-behavior} # Optional. Default: "static"
|
||||
triggers:
|
||||
# ---------------------------------------------------------
|
||||
# 触发器 2: 基于 CPU 使用量 (Prometheus)
|
||||
# ---------------------------------------------------------
|
||||
- type: prometheus
|
||||
metadata:
|
||||
serverAddress: https://cprom.bj.baidubce.com/select/prometheus
|
||||
metricName: cpu_utilization
|
||||
query: >
|
||||
(
|
||||
sum by(pod) (
|
||||
max by(pod) (
|
||||
irate(container_cpu_usage_seconds_total{
|
||||
namespace="bj2-dcloud",
|
||||
pod=~"dstereox.*"
|
||||
}[2m])
|
||||
)
|
||||
)
|
||||
)
|
||||
/(
|
||||
sum by(pod) (
|
||||
max by(pod) (
|
||||
container_spec_cpu_quota{
|
||||
namespace="bj2-dcloud",
|
||||
pod=~"dstereox.*"
|
||||
} / 100000
|
||||
)
|
||||
or vector(1)
|
||||
)
|
||||
)
|
||||
* 100
|
||||
customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
|
||||
threshold: "50" # 50%利用率时扩容;计算目标副本数
|
||||
activationThreshold: "30" # 30%利用率时开始扩容;判断是否激活 scaler
|
||||
authModes: "custom"
|
||||
authenticationRef:
|
||||
name: keda-prom-creds
|
||||
|
||||
|
||||
98
keda/scaledobject_gpu_cpu_util.yaml
Normal file
98
keda/scaledobject_gpu_cpu_util.yaml
Normal file
@ -0,0 +1,98 @@
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: keda-prom-secret
|
||||
namespace: bj2-dcloud
|
||||
stringData:
|
||||
customAuthHeader: "Authorization"
|
||||
customAuthValue: "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lc3BhY2UiOiJjcHJvbS11ejJuZ3J6YmpyN243Iiwic2VjcmV0TmFtZSI6IjJjMTI4NGJhZTUxYjRiZjNhMmU2MjM1NTc4NDRjNmQ2IiwiZXhwIjo0OTIzODc3ODIyLCJpc3MiOiJjcHJvbSJ9.idZaTKtQR4WOyr29T_TKZ9cGz2nW9N5Mw-5SBu321p8"
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: TriggerAuthentication
|
||||
metadata:
|
||||
name: keda-prom-creds
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
secretTargetRef:
|
||||
- parameter: customAuthHeader
|
||||
name: keda-prom-secret
|
||||
key: customAuthHeader
|
||||
- parameter: customAuthValue
|
||||
name: keda-prom-secret
|
||||
key: customAuthValue
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: ScaledObject
|
||||
metadata:
|
||||
name: gpu-metrics-scaledobject
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: dstereox
|
||||
minReplicaCount: 1
|
||||
maxReplicaCount: 2
|
||||
# idleReplicaCount: 0 # 当指标为0时,保持0副本
|
||||
pollingInterval: 30 # 每30秒检查一次指标
|
||||
cooldownPeriod: 300 # 扩容后等待5分钟再进行下一次扩容
|
||||
# initialCooldownPeriod: 0 # 启动后立即检查指标
|
||||
|
||||
# fallback: # Optional. Section to specify fallback options
|
||||
# failureThreshold: 3 # Mandatory if fallback section is included
|
||||
# replicas: 6 # Mandatory if fallback section is included
|
||||
# behavior: {kind-of-behavior} # Optional. Default: "static"
|
||||
triggers:
|
||||
# ---------------------------------------------------------
|
||||
# 触发器 1: 基于 GPU 利用率 (DCGM)
|
||||
# ---------------------------------------------------------
|
||||
- type: prometheus
|
||||
metadata:
|
||||
serverAddress: https://cprom.bj.baidubce.com/select/prometheus
|
||||
metricName: dcgm_gpu_utilization
|
||||
query: max(avg_over_time(DCGM_FI_DEV_GPU_UTIL{ pod_name=~"dstereox.*"}[2m]))
|
||||
customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
|
||||
threshold: "80" # 80%利用率时扩容;计算目标副本数
|
||||
activationThreshold: "60" # 30%利用率时开始扩容;判断是否激活 scaler
|
||||
authModes: "custom"
|
||||
authenticationRef:
|
||||
name: keda-prom-creds
|
||||
|
||||
# ---------------------------------------------------------
|
||||
# 触发器 2: 基于 CPU 使用量 (Prometheus)
|
||||
# ---------------------------------------------------------
|
||||
- type: prometheus
|
||||
metadata:
|
||||
serverAddress: https://cprom.bj.baidubce.com/select/prometheus
|
||||
metricName: cpu_utilization
|
||||
query: >
|
||||
(
|
||||
sum (
|
||||
max by(pod) (
|
||||
irate(container_cpu_usage_seconds_total{
|
||||
namespace="bj2-dcloud",
|
||||
pod=~"dstereox.*"
|
||||
}[10m])
|
||||
)
|
||||
)
|
||||
)
|
||||
/(
|
||||
sum (
|
||||
max by(pod) (
|
||||
container_spec_cpu_quota{
|
||||
namespace="bj2-dcloud",
|
||||
pod=~"dstereox.*"
|
||||
} / 100000
|
||||
)
|
||||
or vector(1)
|
||||
)
|
||||
)
|
||||
* 100
|
||||
customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
|
||||
threshold: "80" # 50%利用率时扩容;计算目标副本数
|
||||
activationThreshold: "60" # 30%利用率时开始扩容;判断是否激活 scaler
|
||||
authModes: "custom"
|
||||
authenticationRef:
|
||||
name: keda-prom-creds
|
||||
62
keda/scaledobject_gpu_util.yaml
Normal file
62
keda/scaledobject_gpu_util.yaml
Normal file
@ -0,0 +1,62 @@
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: keda-prom-secret
|
||||
namespace: bj2-dcloud
|
||||
stringData:
|
||||
customAuthHeader: "Authorization"
|
||||
customAuthValue: "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lc3BhY2UiOiJjcHJvbS11ejJuZ3J6YmpyN243Iiwic2VjcmV0TmFtZSI6IjJjMTI4NGJhZTUxYjRiZjNhMmU2MjM1NTc4NDRjNmQ2IiwiZXhwIjo0OTIzODc3ODIyLCJpc3MiOiJjcHJvbSJ9.idZaTKtQR4WOyr29T_TKZ9cGz2nW9N5Mw-5SBu321p8"
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: TriggerAuthentication
|
||||
metadata:
|
||||
name: keda-prom-creds
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
secretTargetRef:
|
||||
- parameter: customAuthHeader
|
||||
name: keda-prom-secret
|
||||
key: customAuthHeader
|
||||
- parameter: customAuthValue
|
||||
name: keda-prom-secret
|
||||
key: customAuthValue
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: ScaledObject
|
||||
metadata:
|
||||
name: gpu-metrics-scaledobject
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: dstereox
|
||||
minReplicaCount: 1
|
||||
maxReplicaCount: 2
|
||||
# idleReplicaCount: 0 # 当指标为0时,保持0副本
|
||||
pollingInterval: 30 # 每30秒检查一次指标
|
||||
cooldownPeriod: 300 # 扩容后等待5分钟再进行下一次扩容
|
||||
# initialCooldownPeriod: 0 # 启动后立即检查指标
|
||||
|
||||
# fallback: # Optional. Section to specify fallback options
|
||||
# failureThreshold: 3 # Mandatory if fallback section is included
|
||||
# replicas: 6 # Mandatory if fallback section is included
|
||||
# behavior: {kind-of-behavior} # Optional. Default: "static"
|
||||
triggers:
|
||||
# ---------------------------------------------------------
|
||||
# 触发器 1: 基于 GPU 利用率 (DCGM)
|
||||
# ---------------------------------------------------------
|
||||
- type: prometheus
|
||||
metadata:
|
||||
serverAddress: https://cprom.bj.baidubce.com/select/prometheus
|
||||
metricName: dcgm_gpu_utilization
|
||||
# query: avg(avg_over_time(DCGM_FI_DEV_GPU_UTIL{namespace="bj2-dcloud",pod=~"dstereox-.*"}[3m]))
|
||||
query: max(avg_over_time(DCGM_FI_DEV_GPU_UTIL{pod_name=~"dstereox.*"}[3m]))
|
||||
customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
|
||||
threshold: "50" # 80%利用率时扩容;计算目标副本数
|
||||
activationThreshold: "30" # 30%利用率时开始扩容;判断是否激活 scaler
|
||||
authModes: "custom"
|
||||
authenticationRef:
|
||||
name: keda-prom-creds
|
||||
62
keda/scaledobject_volcano.yaml
Normal file
62
keda/scaledobject_volcano.yaml
Normal file
@ -0,0 +1,62 @@
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: keda-prom-secret
|
||||
namespace: bj2-dcloud
|
||||
stringData:
|
||||
customAuthHeader: "Authorization"
|
||||
customAuthValue: "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYW1lc3BhY2UiOiJjcHJvbS11ejJuZ3J6YmpyN243Iiwic2VjcmV0TmFtZSI6IjJjMTI4NGJhZTUxYjRiZjNhMmU2MjM1NTc4NDRjNmQ2IiwiZXhwIjo0OTIzODc3ODIyLCJpc3MiOiJjcHJvbSJ9.idZaTKtQR4WOyr29T_TKZ9cGz2nW9N5Mw-5SBu321p8"
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: TriggerAuthentication
|
||||
metadata:
|
||||
name: keda-prom-creds
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
secretTargetRef:
|
||||
- parameter: customAuthHeader
|
||||
name: keda-prom-secret
|
||||
key: customAuthHeader
|
||||
- parameter: customAuthValue
|
||||
name: keda-prom-secret
|
||||
key: customAuthValue
|
||||
|
||||
---
|
||||
apiVersion: keda.sh/v1alpha1
|
||||
kind: ScaledObject
|
||||
metadata:
|
||||
name: gpu-metrics-scaledobject
|
||||
namespace: bj2-dcloud
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: dstereox
|
||||
minReplicaCount: 1
|
||||
maxReplicaCount: 2
|
||||
idleReplicaCount: 0 # 当指标为0时,保持0副本
|
||||
pollingInterval: 30 # 每30秒检查一次指标
|
||||
cooldownPeriod: 300 # 扩容后等待5分钟再进行下一次扩容
|
||||
# initialCooldownPeriod: 0 # 启动后立即检查指标
|
||||
|
||||
# fallback: # Optional. Section to specify fallback options
|
||||
# failureThreshold: 3 # Mandatory if fallback section is included
|
||||
# replicas: 6 # Mandatory if fallback section is included
|
||||
# behavior: {kind-of-behavior} # Optional. Default: "static"
|
||||
triggers:
|
||||
# ---------------------------------------------------------
|
||||
# 触发器 1: 基于 volcano 队列的pending任务数
|
||||
# ---------------------------------------------------------
|
||||
- type: prometheus
|
||||
metadata:
|
||||
serverAddress: https://cprom.bj.baidubce.com/select/prometheus
|
||||
metricName: queuue_pending_tasks
|
||||
query: sum(volcano_queue_pod_group_pending_count{queue_name="dcloud"})
|
||||
customHeaders: InstanceId=cprom-uz2ngrzbjr7n7
|
||||
threshold: "1"
|
||||
activationThreshold: "1"
|
||||
authModes: "custom"
|
||||
authenticationRef:
|
||||
name: keda-prom-creds
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user