mirror of
https://github.com/clearml/clearml-helm-charts
synced 2025-04-17 01:31:13 +00:00
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1
charts/clearml/ci/default-values.yaml
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1
charts/clearml/ci/default-values.yaml
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# empty so default values.yaml gets tested
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@ -1,415 +1,3 @@
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clearml:
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defaultCompany: "d1bd92a3b039400cbafc60a7a5b1e52b"
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ingress:
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enabled: false
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name: clearml-server-ingress
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annotations: {}
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app:
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hostName: "app.clearml.127-0-0-1.nip.io"
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tlsSecretName: ""
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annotations: {}
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api:
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hostName: "api.clearml.127-0-0-1.nip.io"
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tlsSecretName: ""
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annotations: {}
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files:
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hostName: "files.clearml.127-0-0-1.nip.io"
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tlsSecretName: ""
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annotations: {}
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secret:
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# -- Set for http_session field
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httpSession: "9Tw20RbhJ1bLBiHEOWXvhplKGUbTgLzAtwFN2oLQvWwS0uRpD5"
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# -- Set for auth_token field
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authToken: "1SCf0ov3Nm544Td2oZ0gXSrsNx5XhMWdVlKz1tOgcx158bD5RV"
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credentials:
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apiserver:
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# -- Set for apiserver_key field
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accessKey: "5442F3443MJMORWZA3ZH"
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# -- Set for apiserver_secret field
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secretKey: "BxapIRo9ZINi8x25CRxz8Wdmr2pQjzuWVB4PNASZqCtTyWgWVQ"
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tests:
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# -- Set for tests_user_key field
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accessKey: "ENP39EQM4SLACGD5FXB7"
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# -- Set for tests_user_secret field
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secretKey: "lPcm0imbcBZ8mwgO7tpadutiS3gnJD05x9j7afwXPS35IKbpiQ"
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apiserver:
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prepopulateEnabled: "true"
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prepopulateZipFiles: "/opt/clearml/db-pre-populate"
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prepopulateArtifactsPath: "/mnt/fileserver"
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configDir: /opt/clearml/config
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# -- Amount of seconds the authorization cookie will last in user browser
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authCookiesMaxAge: 864000
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service:
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# -- This will set to service's spec.type field
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type: NodePort
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port: 8008
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# -- If service.type set to NodePort, this will be set to service's nodePort field.
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# If service.type is set to others, this field will be ignored
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nodePort: 30008
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livenessDelay: 60
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readinessDelay: 60
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replicaCount: 1
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image:
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repository: "allegroai/clearml"
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pullPolicy: IfNotPresent
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tag: "1.1.1"
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extraEnvs: []
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podAnnotations: {}
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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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nodeSelector: {}
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tolerations: []
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affinity: {}
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additionalConfigs: {}
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# services.conf: |
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# tasks {
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# non_responsive_tasks_watchdog {
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# # In-progress tasks that haven't been updated for at least 'value' seconds will be stopped by the watchdog
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# threshold_sec: 21000
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# # Watchdog will sleep for this number of seconds after each cycle
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# watch_interval_sec: 900
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# }
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# }
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fileserver:
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service:
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# -- This will set to service's spec.type field
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type: NodePort
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port: 8081
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# -- If service.type set to NodePort, this will be set to service's nodePort field.
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# If service.type is set to others, this field will be ignored
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nodePort: 30081
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replicaCount: 1
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image:
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repository: "allegroai/clearml"
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pullPolicy: IfNotPresent
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tag: "1.1.1"
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extraEnvs: []
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podAnnotations: {}
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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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nodeSelector: {}
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tolerations: []
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affinity: {}
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storage:
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data:
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class: "standard"
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size: 50Gi
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webserver:
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extraEnvs: []
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service:
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# -- This will set to service's spec.type field
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type: NodePort
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port: 80
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# -- If service.type set to NodePort, this will be set to service's nodePort field.
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# If service.type is set to others, this field will be ignored
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nodePort: 30080
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replicaCount: 1
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image:
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repository: "allegroai/clearml"
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pullPolicy: IfNotPresent
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tag: "1.1.1"
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podAnnotations: {}
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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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nodeSelector: {}
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tolerations: []
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affinity: {}
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agentservices:
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enabled: false
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clearmlHostIp: null
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agentVersion: ""
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clearmlWebHost: null
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clearmlFilesHost: null
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clearmlGitUser: null
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clearmlGitPassword: null
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awsAccessKeyId: null
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awsSecretAccessKey: null
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awsDefaultRegion: null
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azureStorageAccount: null
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azureStorageKey: null
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googleCredentials: null
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clearmlWorkerId: "clearml-services"
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replicaCount: 1
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image:
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repository: "allegroai/clearml-agent-services"
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pullPolicy: IfNotPresent
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tag: "latest"
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extraEnvs: []
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podAnnotations: {}
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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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nodeSelector: {}
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tolerations: []
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affinity: {}
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storage:
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data:
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class: "standard"
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size: 50Gi
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agentGroups:
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agent-group-cpu:
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enabled: true
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name: agent-group-cpu
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replicaCount: 1
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updateStrategy: Recreate
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nvidiaGpusPerAgent: 0
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agentVersion: "" # if set, it *MUST* include comparison operator (e.g. ">=0.16.1")
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queues: "default" # multiple queues can be specified separated by a space (e.g. "important_jobs default")
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clearmlGitUser: null
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clearmlGitPassword: null
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clearmlAccessKey: null
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clearmlSecretKey: null
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awsAccessKeyId: null
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awsSecretAccessKey: null
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awsDefaultRegion: null
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azureStorageAccount: null
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azureStorageKey: null
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clearmlConfig: |-
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sdk {
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}
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image:
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repository: "ubuntu"
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pullPolicy: IfNotPresent
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tag: "18.04"
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podAnnotations: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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agent-group-gpu:
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enabled: true
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name: agent-group-gpu
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replicaCount: 0
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updateStrategy: Recreate
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nvidiaGpusPerAgent: 1
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agentVersion: "" # if set, it *MUST* include comparison operator (e.g. ">=0.16.1")
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queues: "default" # multiple queues can be specified separated by a space (e.g. "important_jobs default")
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clearmlGitUser: null
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clearmlGitPassword: null
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clearmlAccessKey: null
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clearmlSecretKey: null
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awsAccessKeyId: null
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awsSecretAccessKey: null
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awsDefaultRegion: null
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azureStorageAccount: null
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azureStorageKey: null
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clearmlConfig: |-
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sdk {
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}
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image:
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repository: "nvidia/cuda"
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pullPolicy: IfNotPresent
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tag: "11.0-base-ubuntu18.04"
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podAnnotations: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# This agent will spawn queued experiments in new pods, a good use case is to combine this with
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# GPU autoscaling nodes.
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# https://github.com/allegroai/clearml-agent/tree/master/docker/k8s-glue
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agentk8sglue:
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enabled: true
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image:
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repository: "allegroai/clearml-agent-k8s"
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tag: "aws-latest-1.21"
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maxPods: 10
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defaultDockerImage: nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu18.04 # default docker image that is spawned as new pod
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queue: aws-instances # create this queue manually in the UI first for it to work
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id: k8s-agent
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podTemplate:
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resources: {}
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# limits:
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# nvidia.com/gpu: 1
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tolerations: {}
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# - key: "nvidia.com/gpu"
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# operator: Exists
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# effect: "NoSchedule"
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nodeSelector: {}
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# fleet: gpu-nodes
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externalServices:
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# -- Existing ElasticSearch Hostname to use if elasticsearch.enabled is false
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elasticsearchHost: ""
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# -- Existing ElasticSearch Port to use if elasticsearch.enabled is false
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elasticsearchPort: 9200
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# -- Existing MongoDB Hostname to use if elasticsearch.enabled is false
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mongodbHost: ""
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# -- Existing MongoDB Port to use if elasticsearch.enabled is false
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mongodbPort: 27017
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# -- Existing Redis Hostname to use if elasticsearch.enabled is false
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redisHost: ""
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# -- Existing Redis Port to use if elasticsearch.enabled is false
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redisPort: 6379
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redis: # configuration from https://github.com/bitnami/charts/blob/master/bitnami/redis/values.yaml
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enabled: true
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usePassword: false
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databaseNumber: 0
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master:
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name: "{{ .Release.Name }}-redis-master"
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port: 6379
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persistence:
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enabled: true
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accessModes:
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- ReadWriteOnce
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size: 5Gi
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cluster:
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enabled: false
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mongodb: # configuration from https://github.com/bitnami/charts/blob/master/bitnami/mongodb/values.yaml
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enabled: true
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architecture: standalone
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auth:
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enabled: false
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replicaCount: 1
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persistence:
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enabled: true
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accessModes:
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- ReadWriteOnce
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size: 50Gi
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service:
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name: "{{ .Release.Name }}-mongodb"
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type: ClusterIP
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port: 27017
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portName: mongo-service
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elasticsearch: # configuration from https://github.com/elastic/helm-charts/blob/7.16/elasticsearch/values.yaml
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enabled: true
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httpPort: 9200
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roles:
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master: "true"
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ingest: "true"
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data: "true"
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remote_cluster_client: "true"
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replicas: 1
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# Readiness probe hack for a single-node cluster (where status will never be green). Should be removed if using replicas > 1
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clusterHealthCheckParams: "wait_for_status=yellow&timeout=1s"
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minimumMasterNodes: 1
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clusterName: clearml-elastic
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esJavaOpts: "-Xmx2g -Xms2g"
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extraEnvs:
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- name: bootstrap.memory_lock
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value: "false"
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- name: cluster.routing.allocation.node_initial_primaries_recoveries
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value: "500"
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- name: cluster.routing.allocation.disk.watermark.low
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value: 500mb
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- name: cluster.routing.allocation.disk.watermark.high
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value: 500mb
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- name: cluster.routing.allocation.disk.watermark.flood_stage
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value: 500mb
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- name: http.compression_level
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value: "7"
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- name: reindex.remote.whitelist
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value: '*.*'
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- name: xpack.monitoring.enabled
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value: "false"
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- name: xpack.security.enabled
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value: "false"
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resources:
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requests:
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memory: "4Gi"
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limits:
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memory: "4Gi"
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persistence:
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enabled: true
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volumeClaimTemplate:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 50Gi
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esConfig:
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elasticsearch.yml: |
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xpack.security.enabled: false
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enabled: true
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