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112 lines
2.8 KiB
YAML
112 lines
2.8 KiB
YAML
# Default values for cobalt-chart.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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replicaCount: 1
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image:
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repository: gcr.io/ebay-mag/kubein/cobalt
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pullPolicy: IfNotPresent
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# Overrides the image tag whose default is the chart appVersion.
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tag: ""
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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pvc:
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accessModes: ReadWriteOnce # 或者 ReadWriteMany，依据需求修改
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storage: 128Mi # 存储容量，依据需求修改
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storageClassName: ssd # 存储类名称，可以根据需求调整
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podAnnotations: {}
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podSecurityContext: {}
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# fsGroup: 2000
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securityContext: {}
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# capabilities:
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# drop:
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# - ALL
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# readOnlyRootFilesystem: true
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# runAsNonRoot: true
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# runAsUser: 1000
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service:
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type: ClusterIP
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port: 80
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targetPort: 80
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ingress:
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enabled: true
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className: ""
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annotations: {networking.gke.io/managed-certificates: "apifreesavevideo-tls"}
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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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hosts:
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- host: api.freesavevideo.online
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paths:
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- path: /
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pathType: Prefix
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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resources: {}
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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# requests:
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# cpu: 100m
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# memory: 128Mi
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livenessProbe:
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httpGet:
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path: /
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port: http
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readinessProbe:
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httpGet:
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path: /
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port: http
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autoscaling:
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enabled: false
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minReplicas: 1
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maxReplicas: 100
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targetCPUUtilizationPercentage: 80
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# targetMemoryUtilizationPercentage: 80
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nodeSelector: {}
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tolerations: []
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affinity:
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# Pod 反亲和性，确保多个 Pod 不会部署在同一个节点上
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/name # pod标签的key
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operator: In
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values:
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- cobalt-chart # 应用名称
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topologyKey: "kubernetes.io/hostname" # 通过主机名来避免部署在相同的节点上
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# Pod 亲和性，确保 Pod 只部署在节点池 autoscale-workers-2 中的节点上
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nodeAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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nodeSelectorTerms:
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- matchExpressions:
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- key: cloud.google.com/gke-nodepool # 使用节点池的标签
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operator: In
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values:
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- autoscale-workers-2 # 确保只在 autoscale-workers-2 节点池中调度
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