113 lines
2.4 KiB
YAML
113 lines
2.4 KiB
YAML
configInline:
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enableExternalNameService: true
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timeouts:
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connection-idle-timeout: 65s
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connection-shutdown-grace-period: 60s
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max-connection-duration: 600s
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disablePermitInsecure: false
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tls:
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fallback-certificate: {}
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accesslog-format: envoy
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accesslog-level: disabled
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contour:
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enabled: true
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replicaCount: 3
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podLabels:
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bu: datascience
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team: datascience-devops
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env: prd
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manageCRDs: true
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resources:
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requests:
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cpu: 500m
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memory: 3Gi
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tolerations:
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- effect: NoSchedule
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key: cloud.google.com/compute-class
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operator: Equal
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value: contour-shared-arm
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nodeSelector:
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cloud.google.com/compute-class: contour-shared-arm
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service:
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type: ClusterIP
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ports:
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xds: 8001
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metrics: 8000
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ingressClass:
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name: "contour-internal-dataproc"
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create: true
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debug: false
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podAnnotations:
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prometheus.io/path: /metrics
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prometheus.io/port: '8000'
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prometheus.io/scrape: 'true'
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envoy:
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enabled: true
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podLabels:
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bu: datascience
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team: datascience-devops
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env: prd
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updateStrategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 5%
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maxUnavailable: 0
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kind: deployment
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tolerations:
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- effect: NoSchedule
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key: cloud.google.com/compute-class
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operator: Equal
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value: contour-internal-dataproc-arm
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nodeSelector:
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cloud.google.com/compute-class: contour-internal-dataproc-arm
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logLevel: error
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autoscaling:
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behavior:
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scaleDown:
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policies:
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- periodSeconds: 60
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type: Pods
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value: 2
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selectPolicy: Min
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stabilizationWindowSeconds: 300
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scaleUp:
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policies:
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- periodSeconds: 15
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type: Percent
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value: 100
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selectPolicy: Max
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stabilizationWindowSeconds: 60
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enabled: true
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minReplicas: 3
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maxReplicas: 250
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targetCPU: "60"
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targetMemory: "60"
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podAnnotations:
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prometheus.io/path: /stats/prometheus
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prometheus.io/port: '8002'
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prometheus.io/scrape: 'true'
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extraArgs:
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- '--concurrency 14'
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resources:
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requests:
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cpu: 14
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memory: 8Gi
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limits:
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cpu: 14
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memory: 27Gi
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service:
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tcpLB: true
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export:
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enabled: false
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targetPorts:
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http: http
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https: https
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type: ClusterIP
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ports:
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http: 80
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https: 443
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grpc: 8080 ## only when tcpLB is true it will be used
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useHostPort: false
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defaultBackend:
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enabled: false
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