chore(jellyfin)!: ♻️ Migrate the helm chart to newer standard level (#40)
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# -- Number of jellyfin replicas to start. Should be left at 1
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# Default values for Jellyfin.
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# This is a YAML-formatted file.
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# -- Number of Jellyfin replicas to start. Should be left at 1.
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replicaCount: 1
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# -- Image pull secrets to authenticate with private repositories.
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# See: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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imagePullSecrets: []
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image:
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# -- Set cutom repository for jellyfin image
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# -- Container image repository for Jellyfin.
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repository: docker.io/jellyfin/jellyfin
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# -- Set jellyfin version which should be required since chart is updated with new versions automatically
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# -- Jellyfin container image tag. Leave empty to automatically use the Chart's app version.
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tag: ""
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# -- Image pull policy (Always, IfNotPresent, or Never).
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pullPolicy: IfNotPresent
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# -- Override the default name of the chart.
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nameOverride: ""
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# -- Override the default full name of the chart.
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fullnameOverride: ""
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# -- Setting this to true enables DLNA which requires the pod to be attached to the
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# host network in order to be useful - this can break things like ingress to the service
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# https://jellyfin.org/docs/general/networking/dlna.html
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enableDLNA: false
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# -- Service account configuration. See: https://kubernetes.io/docs/concepts/security/service-accounts/
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serviceAccount:
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# -- Specifies whether to create a service account.
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create: true
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# -- Automatically mount API credentials for the service account.
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automount: true
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# -- Annotations for the service account.
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annotations: {}
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# -- Custom name for the service account. If left empty, the name will be autogenerated.
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name: ""
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# -- Annotations to add to the pod.
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podAnnotations: {}
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# -- Additional labels to add to the pod.
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podLabels: {}
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# -- Security context for the pod.
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podSecurityContext: {}
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# fsGroup: 2000
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# -- Security context for the container.
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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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# -- Define a custom runtimeClassName for the pod.
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runtimeClassName: ''
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# -- Deployment strategy configuration. See `kubectl explain deployment.spec.strategy`.
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deploymentStrategy:
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type: RollingUpdate
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service:
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name: http
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# -- Service type (ClusterIP, NodePort, or LoadBalancer).
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type: ClusterIP
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# -- Configure dual-stack IP family policy. See: https://kubernetes.io/docs/concepts/services-networking/dual-stack/
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ipFamilyPolicy: ""
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# -- Supported IP families (IPv4, IPv6).
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ipFamilies: []
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# -- Specific IP address for the LoadBalancer.
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loadBalancerIP: ""
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# -- Class of the LoadBalancer.
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loadBalancerClass: ""
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# -- Source ranges allowed to access the LoadBalancer.
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loadBalancerSourceRanges: []
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# -- Port for the Jellyfin service.
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port: 8096
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## Specify the nodePort value for the LoadBalancer and NodePort service types.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
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##
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# nodePort:
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## Provide any additional annotations which may be required. This can be used to
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## set the LoadBalancer service type to internal only.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
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##
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# -- Name of the port in the service.
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portName: service
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# -- Annotations for the service.
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annotations: {}
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# -- Labels for the service.
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labels: {}
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## Use loadBalancerIP to request a specific static IP,
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## otherwise leave blank
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##
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loadBalancerIP:
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# loadBalancerSourceRanges: []
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## Set the externalTrafficPolicy in the Service to either Cluster or Local
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# -- External traffic policy (Cluster or Local).
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# externalTrafficPolicy: Cluster
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# -- NodePort for the service (if applicable).
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# nodePort:
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# -- Ingress configuration. See: https://kubernetes.io/docs/concepts/services-networking/ingress/
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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: chart-example.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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# -- Resource requests and limits for the Jellyfin container.
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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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# -- Configure liveness probe for Jellyfin.
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livenessProbe:
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initialDelaySeconds: 10
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tcpSocket:
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port: http
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# successThreshold: 1
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# failureThreshold: 3
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# timeoutSeconds: 1
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# periodSeconds: 10
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# -- Configure readiness probe for Jellyfin.
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readinessProbe:
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initialDelaySeconds: 10
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tcpSocket:
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port: http
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# successThreshold: 1
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# failureThreshold: 3
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# timeoutSeconds: 1
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# periodSeconds: 10
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# -- Additional volumes to mount in the Jellyfin pod.
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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 volume mounts for the Jellyfin container.
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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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# -- Node selector for pod scheduling.
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nodeSelector: {}
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# -- Tolerations for pod scheduling.
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tolerations: []
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# -- Affinity rules for pod scheduling.
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affinity: {}
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jellyfin:
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# -- Enable DLNA. Requires host network. See: https://jellyfin.org/docs/general/networking/dlna.html
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enableDLNA: false
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# -- Custom command to use as container entrypoint.
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command: []
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# -- Additional arguments for the entrypoint command.
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args: []
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# -- Additional environment variables for the container.
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env: []
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persistence:
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config:
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# -- set to false to use emptyDir
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enabled: true
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accessMode: ReadWriteOnce
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size: 5Gi
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# -- Custom annotations to be added to the PVC
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annotations: {}
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# -- If undefined (the default) or set to null, no storageClassName spec is set, choosing the default provisioner.
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storageClass: ''
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## -- Use an existing PVC for this mount
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# existingClaim: ''
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media:
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# -- set to false to use emptyDir
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enabled: true
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accessMode: ReadWriteOnce
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size: 25Gi
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# -- Custom annotations to be added to the PVC
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annotations: {}
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# -- If undefined (the default) or set to null, no storageClassName spec is set, choosing the default provisioner.
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storageClass: ''
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## -- Use an existing PVC for this mount
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# existingClaim: ''
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# -- Configuration for metrics collection and monitoring
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metrics:
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@@ -74,137 +220,8 @@ metrics:
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# -- Target labels to add to the scraped metrics
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targetLabels: []
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ingress:
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enabled: false
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labels: {}
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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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path: /
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hosts:
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- chart-example.local
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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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persistence:
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config:
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enabled: false
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# -- If undefined (the default) or set to null, no storageClassName spec is set, choosing the default provisioner.
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storageClass: "-"
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## If you want to reuse an existing claim, you can pass the name of the PVC using
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## the existingClaim variable
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# existingClaim: your-claim
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# subPath: some-subpath
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accessMode: ReadWriteOnce
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size: 1Gi
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# -- Custom labels to be added to the PVC
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labels: {}
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# -- Custom annotations to be added to the PVC
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annotations: {}
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media:
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enabled: false
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# -- If undefined (the default) or set to null, no storageClassName spec is set, choosing the default provisioner.
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storageClass: "-"
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## If you want to reuse an existing claim, you can pass the name of the PVC using
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## the existingClaim variable
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# existingClaim: your-claim
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# subPath: some-subpath
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accessMode: ReadWriteOnce
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size: 10Gi
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# -- Custom labels to be added to the PVC
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labels: {}
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# -- Custom annotations to be added to the PVC
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annotations: {}
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# -- Add aditional PVs/PVCs to our container. Check values.yaml to see an example.
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extraExistingClaimMounts: []
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# - name: external-mount
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# mountPath: /srv/external-mount
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## A manually managed Persistent Volume and Claim
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## If defined, PVC must be created manually before volume will be bound
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# existingClaim:
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# readOnly: true
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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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# Define a custom runtimeClassName for the pod, e.g. "nvidia" if you have the NVIDIA GPU Operator installed
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runtimeClassName:
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# -- Define additional volumes to mount to the pod.
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extraVolumes: []
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#- name: renderD129
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# hostPath:
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# path: /dev/dri/renderD129
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# -- Define mount points for additional volumes.
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extraVolumeMounts: []
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#- mountPath: /dev/dri/renderD129
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# name: renderD129
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# -- additional pod labels. Not used as a selector label.
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extraPodLabels: {}
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# -- aditional environment variables passed to the pod
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extraEnvVars: []
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#- name: MY_ENV_VAR
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# value: my-env-var-value
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# -- additional annotations applied to the pod
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extraPodAnnotations: {}
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# -- additional init containers to run inside the pod.
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extraInitContainers: []
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# -- additional sidecar containers to run inside the pod.
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extraContainers: []
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# -- SecurityContext configuration for the Jellyfin pod
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podSecurityContext: {}
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# Jellyfin can be run as an unprivileged user with the following settings:
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# runAsUser: 65534
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# runAsGroup: 65534
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# -- SecurityContext configuration for the Jellyfin container
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securityContext: {}
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# For example, you might need to grant the following capabilities to enable hardware acceleration when mounting a /dev/dri device:
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# capabilities:
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# add:
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# - "SYS_ADMIN"
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# drop:
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# - "ALL"
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# -- Larger libraries may need to increase the readinessProbe and livenessProbe timeouts. Start by increasing the initialDelaySeconds.
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livenessProbe:
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enabled: true
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# failureThreshold: 3
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initialDelaySeconds: 10
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# periodSeconds: 10
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# successThreshold: 1
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# timeoutSeconds: 1
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# -- Larger libraries may need to increase the readinessProbe and livenessProbe timeouts. Start by increasing the initialDelaySeconds.
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readinessProbe:
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enabled: true
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# failureThreshold: 3
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initialDelaySeconds: 10
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# periodSeconds: 10
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# successThreshold: 1
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# timeoutSeconds: 1
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extraContainers: []
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