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clearml-helm-charts/charts/clearml/values.yaml
Valeriano Manassero d7bef0ff9d
Add authentication example (#56) 
* Added: auth enabled example in additionalConfigs

* Changed: bump up version

* Fixed: remove trailing spaces
2022-03-25 10:27:40 +01:00

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# global:
# imagePullSecrets:
# - docker-cfg
clearml:
defaultCompany: "d1bd92a3b039400cbafc60a7a5b1e52b"
ingress:
name: clearml-server-ingress
annotations: {}
app:
enabled: false
hostName: "app.clearml.127-0-0-1.nip.io"
tlsSecretName: ""
annotations: {}
path: "/"
api:
enabled: false
hostName: "api.clearml.127-0-0-1.nip.io"
tlsSecretName: ""
annotations: {}
path: "/"
files:
enabled: false
hostName: "files.clearml.127-0-0-1.nip.io"
tlsSecretName: ""
annotations: {}
path: "/"
secret:
# -- Set for http_session field
httpSession: "9Tw20RbhJ1bLBiHEOWXvhplKGUbTgLzAtwFN2oLQvWwS0uRpD5"
# -- Set for auth_token field
authToken: "1SCf0ov3Nm544Td2oZ0gXSrsNx5XhMWdVlKz1tOgcx158bD5RV"
credentials:
apiserver:
# -- Set for apiserver_key field
accessKey: "5442F3443MJMORWZA3ZH"
# -- Set for apiserver_secret field
secretKey: "BxapIRo9ZINi8x25CRxz8Wdmr2pQjzuWVB4PNASZqCtTyWgWVQ"
tests:
# -- Set for tests_user_key field
accessKey: "ENP39EQM4SLACGD5FXB7"
# -- Set for tests_user_secret field
secretKey: "lPcm0imbcBZ8mwgO7tpadutiS3gnJD05x9j7afwXPS35IKbpiQ"
apiserver:
prepopulateEnabled: "true"
prepopulateZipFiles: "/opt/clearml/db-pre-populate"
prepopulateArtifactsPath: "/mnt/fileserver"
configDir: /opt/clearml/config
# -- Amount of seconds the authorization cookie will last in user browser
authCookiesMaxAge: 864000
service:
# -- This will set to service's spec.type field
type: NodePort
port: 8008
# -- If service.type set to NodePort, this will be set to service's nodePort field.
# If service.type is set to others, this field will be ignored
nodePort: 30008
livenessDelay: 60
readinessDelay: 60
replicaCount: 1
image:
repository: "allegroai/clearml"
pullPolicy: IfNotPresent
tag: "1.2.0"
extraEnvs: []
podAnnotations: {}
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
additionalConfigs: {}
# services.conf: |
# tasks {
# non_responsive_tasks_watchdog {
# # In-progress tasks that haven't been updated for at least 'value' seconds will be stopped by the watchdog
# threshold_sec: 21000
# # Watchdog will sleep for this number of seconds after each cycle
# watch_interval_sec: 900
# }
# }
# apiserver.conf: |
# auth {
# fixed_users {
# enabled: true
# pass_hashed: false
# users: [
# {
# username: "jane"
# password: "12345678"
# name: "Jane Doe"
# },
# {
# username: "john"
# password: "12345678"
# name: "John Doe"
# },
# ]
# }
# }
fileserver:
service:
# -- This will set to service's spec.type field
type: NodePort
port: 8081
# -- If service.type set to NodePort, this will be set to service's nodePort field.
# If service.type is set to others, this field will be ignored
nodePort: 30081
replicaCount: 1
image:
repository: "allegroai/clearml"
pullPolicy: IfNotPresent
tag: "1.2.0"
extraEnvs: []
podAnnotations: {}
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
storage:
data:
class: "standard"
size: 50Gi
webserver:
extraEnvs: []
service:
# -- This will set to service's spec.type field
type: NodePort
port: 80
# -- If service.type set to NodePort, this will be set to service's nodePort field.
# If service.type is set to others, this field will be ignored
nodePort: 30080
replicaCount: 1
image:
repository: "allegroai/clearml"
pullPolicy: IfNotPresent
tag: "1.2.0"
podAnnotations: {}
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
additionalConfigs: {}
agentservices:
enabled: false
clearmlHostIp: null
agentVersion: ""
clearmlWebHost: null
clearmlFilesHost: null
clearmlGitUser: null
clearmlGitPassword: null
awsAccessKeyId: null
awsSecretAccessKey: null
awsDefaultRegion: null
azureStorageAccount: null
azureStorageKey: null
googleCredentials: null
clearmlWorkerId: "clearml-services"
replicaCount: 1
image:
repository: "allegroai/clearml-agent-services"
pullPolicy: IfNotPresent
tag: "latest"
extraEnvs: []
podAnnotations: {}
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
storage:
data:
class: "standard"
size: 50Gi
agentGroups:
agent-group-cpu:
enabled: true
name: agent-group-cpu
replicaCount: 1
updateStrategy: Recreate
nvidiaGpusPerAgent: 0
agentVersion: "" # if set, it *MUST* include comparison operator (e.g. ">=0.16.1")
queues: "default" # multiple queues can be specified separated by a space (e.g. "important_jobs default")
clearmlGitUser: null
clearmlGitPassword: null
clearmlAccessKey: null
clearmlSecretKey: null
awsAccessKeyId: null
awsSecretAccessKey: null
awsDefaultRegion: null
azureStorageAccount: null
azureStorageKey: null
clearmlConfig: |-
sdk {
}
image:
repository: "ubuntu"
pullPolicy: IfNotPresent
tag: "18.04"
podAnnotations: {}
nodeSelector: {}
tolerations: []
affinity: {}
agent-group-gpu:
enabled: true
name: agent-group-gpu
replicaCount: 0
updateStrategy: Recreate
nvidiaGpusPerAgent: 1
agentVersion: "" # if set, it *MUST* include comparison operator (e.g. ">=0.16.1")
queues: "default" # multiple queues can be specified separated by a space (e.g. "important_jobs default")
clearmlGitUser: null
clearmlGitPassword: null
clearmlAccessKey: null
clearmlSecretKey: null
awsAccessKeyId: null
awsSecretAccessKey: null
awsDefaultRegion: null
azureStorageAccount: null
azureStorageKey: null
clearmlConfig: |-
sdk {
}
image:
repository: "nvidia/cuda"
pullPolicy: IfNotPresent
tag: "11.0-base-ubuntu18.04"
podAnnotations: {}
nodeSelector: {}
tolerations: []
affinity: {}
# This agent will spawn queued experiments in new pods, a good use case is to combine this with
# GPU autoscaling nodes.
# https://github.com/allegroai/clearml-agent/tree/master/docker/k8s-glue
agentk8sglue:
enabled: false
image:
repository: "allegroai/clearml-agent-k8s"
tag: "aws-latest-1.21"
serviceAccountName: default
maxPods: 10
defaultDockerImage: nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04 # default docker image that is spawned as new pod
queue: aws-instances # create this queue manually in the UI first for it to work
id: k8s-agent
podTemplate:
volumes: []
# - name: "yourvolume"
# path: "/yourpath"
env: []
# # to setup access to private repo, setup secret with git credentials:
# - name: CLEARML_AGENT_GIT_USER
# value: mygitusername
# - name: CLEARML_AGENT_GIT_PASS
# valueFrom:
# secretKeyRef:
# name: git-password
# key: git-password
resources: {}
# limits:
# nvidia.com/gpu: 1
tolerations: []
# - key: "nvidia.com/gpu"
# operator: Exists
# effect: "NoSchedule"
nodeSelector: {}
# fleet: gpu-nodes
externalServices:
# -- Existing ElasticSearch Hostname to use if elasticsearch.enabled is false
elasticsearchHost: ""
# -- Existing ElasticSearch Port to use if elasticsearch.enabled is false
elasticsearchPort: 9200
# -- Existing MongoDB Hostname to use if elasticsearch.enabled is false
mongodbHost: ""
# -- Existing MongoDB Port to use if elasticsearch.enabled is false
mongodbPort: 27017
# -- Existing Redis Hostname to use if elasticsearch.enabled is false
redisHost: ""
# -- Existing Redis Port to use if elasticsearch.enabled is false
redisPort: 6379
redis: # configuration from https://github.com/bitnami/charts/blob/master/bitnami/redis/values.yaml
enabled: true
usePassword: false
databaseNumber: 0
master:
name: "{{ .Release.Name }}-redis-master"
port: 6379
persistence:
enabled: true
accessModes:
- ReadWriteOnce
size: 5Gi
cluster:
enabled: false
mongodb: # configuration from https://github.com/bitnami/charts/blob/master/bitnami/mongodb/values.yaml
enabled: true
architecture: standalone
auth:
enabled: false
replicaCount: 1
persistence:
enabled: true
accessModes:
- ReadWriteOnce
size: 50Gi
service:
name: "{{ .Release.Name }}-mongodb"
type: ClusterIP
port: 27017
portName: mongo-service
elasticsearch: # configuration from https://github.com/elastic/helm-charts/blob/7.16/elasticsearch/values.yaml
enabled: true
httpPort: 9200
roles:
master: "true"
ingest: "true"
data: "true"
remote_cluster_client: "true"
replicas: 1
# Readiness probe hack for a single-node cluster (where status will never be green). Should be removed if using replicas > 1
clusterHealthCheckParams: "wait_for_status=yellow&timeout=1s"
minimumMasterNodes: 1
clusterName: clearml-elastic
esJavaOpts: "-Xmx2g -Xms2g"
extraEnvs:
- name: bootstrap.memory_lock
value: "false"
- name: cluster.routing.allocation.node_initial_primaries_recoveries
value: "500"
- name: cluster.routing.allocation.disk.watermark.low
value: 500mb
- name: cluster.routing.allocation.disk.watermark.high
value: 500mb
- name: cluster.routing.allocation.disk.watermark.flood_stage
value: 500mb
- name: http.compression_level
value: "7"
- name: reindex.remote.whitelist
value: '*.*'
- name: xpack.monitoring.enabled
value: "false"
- name: xpack.security.enabled
value: "false"
resources:
requests:
memory: "4Gi"
limits:
memory: "4Gi"
persistence:
enabled: true
volumeClaimTemplate:
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: 50Gi
esConfig:
elasticsearch.yml: |
xpack.security.enabled: false
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