576 lines
14 KiB
YAML
576 lines
14 KiB
YAML
# Default values for datatracker.
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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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## Define serviceAccount names for components. Defaults to component's fully qualified name.
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##
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serviceAccounts:
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datatracker:
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create: true
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name: datatracker
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annotations: {}
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celery:
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create: true
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name: celery
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annotations: {}
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beat:
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create: true
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name: beat
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annotations: {}
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rabbitmq:
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create: true
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name: rabbitmq
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annotations: {}
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memcached:
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create: true
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name: memcached
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annotations: {}
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# -------------------------------------------------------------
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# DATATRACKER
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# -------------------------------------------------------------
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datatracker:
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name: datatracker
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image:
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repository: "ghcr.io/ietf-tools/datatracker"
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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: "v1.1.0"
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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ingress:
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enabled: false
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className: ""
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annotations: {}
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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: datatracker.local
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paths:
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- path: /
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pathType: ImplementationSpecific
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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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livenessProbe:
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httpGet:
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# /submit/tool-instructions/ just happens to be cheap until we get a real health endpoint
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path: /submit/tool-instructions/
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port: http
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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#readinessProbe:
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# httpGet:
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# # /submit/tool-instructions/ just happens to be cheap until we get a real health endpoint
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# path: /submit/tool-instructions/
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# port: http
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replicaCount: 1
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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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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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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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startupProbe:
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initialDelaySeconds: 15
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periodSeconds: 5
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timeoutSeconds: 5
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successThreshold: 1
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failureThreshold: 60
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httpGet:
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# /submit/tool-instructions/ just happens to be cheap until we get a real health endpoint
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path: /submit/tool-instructions/
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port: http
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# Additional volumes on the output Deployment definition.
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volumes:
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- name: settings-local-volume
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configMap:
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name: django-configmap
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- name: cache-volume
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emptyDir:
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sizeLimit: 1Gi
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- name: staging-volume
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emptyDir:
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sizeLimit: 1Gi
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts:
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- name: settings-local-volume
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mountPath: /workspace/ietf/settings_local.py
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subPath: settings_local.py
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readOnly: true
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- name: cache-volume
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mountPath: "/a/cache"
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- name: staging-volume
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mountPath: "/test/staging"
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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tolerations: []
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nodeSelector: {}
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affinity: {}
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# -------------------------------------------------------------
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# CELERY
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# -------------------------------------------------------------
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celery:
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name: celery
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image:
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repository: "ghcr.io/ietf-tools/datatracker"
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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: "v1.1.0"
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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livenessProbe:
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exec:
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command:
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- celery
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- inspect
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- ping
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periodSeconds: 30
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timeoutSeconds: 5
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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replicaCount: 1
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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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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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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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startupProbe:
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initialDelaySeconds: 15
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periodSeconds: 5
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timeoutSeconds: 5
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successThreshold: 1
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failureThreshold: 60
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exec:
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command:
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- celery
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- inspect
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- ping
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# Additional volumes on the output Deployment definition.
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volumes:
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- name: settings-local-volume
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configMap:
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name: django-configmap
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- name: cache-volume
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emptyDir:
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sizeLimit: 1Gi
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- name: staging-volume
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emptyDir:
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sizeLimit: 1Gi
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts:
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- name: settings-local-volume
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mountPath: /workspace/ietf/settings_local.py
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subPath: settings_local.py
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readOnly: true
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- name: cache-volume
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mountPath: "/a/cache"
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- name: staging-volume
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mountPath: "/test/staging"
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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tolerations: []
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nodeSelector: {}
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affinity: {}
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# -------------------------------------------------------------
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# BEAT
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# -------------------------------------------------------------
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beat:
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name: beat
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image:
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repository: "ghcr.io/ietf-tools/datatracker"
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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: "v1.1.0"
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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livenessProbe:
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exec:
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command:
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- celery
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- inspect
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- ping
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periodSeconds: 30
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timeoutSeconds: 5
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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replicaCount: 1
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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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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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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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startupProbe:
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initialDelaySeconds: 15
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periodSeconds: 5
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timeoutSeconds: 5
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successThreshold: 1
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failureThreshold: 60
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exec:
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command:
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- celery
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- inspect
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- ping
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# Additional volumes on the output Deployment definition.
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volumes:
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- name: settings-local-volume
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configMap:
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name: django-configmap
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- name: cache-volume
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emptyDir:
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sizeLimit: 1Gi
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- name: staging-volume
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emptyDir:
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sizeLimit: 1Gi
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts:
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- name: settings-local-volume
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mountPath: /workspace/ietf/settings_local.py
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subPath: settings_local.py
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readOnly: true
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- name: cache-volume
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mountPath: "/a/cache"
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- name: staging-volume
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mountPath: "/test/staging"
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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tolerations: []
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nodeSelector: {}
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affinity: {}
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# -------------------------------------------------------------
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# RABBITMQ
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# -------------------------------------------------------------
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rabbitmq:
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name: rabbitmq
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image:
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repository: "ghcr.io/ietf-tools/datatracker-mq"
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pullPolicy: IfNotPresent
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tag: "latest"
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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livenessProbe:
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exec:
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command:
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- rabbitmq-diagnostics
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- -q
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- ping
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periodSeconds: 30
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timeoutSeconds: 5
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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replicaCount: 1
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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
|
|
# 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:'.
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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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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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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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startupProbe:
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initialDelaySeconds: 15
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periodSeconds: 5
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timeoutSeconds: 5
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successThreshold: 1
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failureThreshold: 60
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exec:
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command:
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- rabbitmq-diagnostics
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- -q
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- ping
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# Additional volumes on the output Deployment definition.
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volumes: []
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts: []
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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tolerations: []
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nodeSelector: {}
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affinity: {}
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# -------------------------------------------------------------
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# MEMCACHED
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# -------------------------------------------------------------
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memcached:
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name: memcached
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image:
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repository: "memcached"
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pullPolicy: IfNotPresent
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tag: "1.6-alpine"
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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replicaCount: 1
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resources: {}
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# 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:
|
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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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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: 11211
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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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|
annotations: {}
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|
# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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tolerations: []
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nodeSelector: {}
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affinity: {}
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# -------------------------------------------------------------
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# COMMON
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# -------------------------------------------------------------
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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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env:
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# n.b., these are debug values / non-secret secrets
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# DBHOST: "host.minikube.internal"
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# DBPORT: "5432"
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DBNAME: "datatracker"
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DBUSER: "django"
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DBPASS: "RkTkDPFnKpko"
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DJANGO_SECRET_KEY: "PDwXboUq!=hPjnrtG2=ge#N$Dwy+wn@uivrugwpic8mxyPfHk"
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