Jellyfin

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: jellyfin
  name: jellyfin
  namespace: jellyfin
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  strategy:
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 1
    type: RollingUpdate
  selector:
    matchLabels:
      app: jellyfin
  template:
    metadata:
      labels:
        app: jellyfin
    spec:
      volumes:
      - name: nfs-jellyfin-config
        persistentVolumeClaim:
          claimName: jellyfin-pvc-config
      - name: nfs-jellyfin-data
        persistentVolumeClaim:
          claimName: jellyfin-pvc-data
      runtimeClassName: nvidia
      containers:
      - env:
        - name: JELLYFIN_PublishedServerUrl
          value: 10.200.1.212 # The IP number for your jellyfin server (see service config)
        - name: PGID
          value: "\x54\x53\x53\x51\x55" # < ASCII code for '65541'
        - name: PUID
          value: "\x49\x48\x50\x57" #< ACII code for '1044'
        - name: TZ
          value: Europe/Amsterdam
        securityContext:
          privileged: true # Container must run as privileged inside of the pod, required for hardware acceleration
        image: ghcr.io/linuxserver/jellyfin
        imagePullPolicy: Always
        name: jellyfin
        ports:
        - containerPort: 8096
          name: http-tcp
          protocol: TCP
        - containerPort: 8920
          name: https-tcp
          protocol: TCP
        - containerPort: 1900
          name: dlna-udp
          protocol: UDP
        - containerPort: 7359
          name: discovery-udp
          protocol: UDP
        #resources: {}
        resources:
          limits:
            nvidia.com/gpu: 1
        stdin: true
        tty: true
        volumeMounts:
        - mountPath: /config
          name: nfs-jellyfin-config
        - mountPath: /data
          name: nfs-jellyfin-data
      dnsPolicy: ClusterFirst
      restartPolicy: Alway

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: jellyfin-pvc-config   # < name of the persistant volume claim ("pvc'")
  namespace: jellyfin         # < namespace where place the pvc
spec:
  storageClassName: "default"
  volumeName: jellyfin-pv-nfs-config  # < the pv it will "claim" to storage. Created in the previous yaml.
  accessModes:
    - ReadWriteMany             # < Multiple pods can write to storage. Same value as pv
  resources:
    requests:
      storage: 1Gi              # < How much data can the pvc claim from pv
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: jellyfin-pvc-data
  namespace: jellyfin
spec:
  storageClassName: "default"
  volumeName: jellyfin-pv-nfs-data
  accessModes:
    - ReadWriteMany
  resources:
    requests:
      storage: 300Gi

apiVersion: v1
kind: PersistentVolume
metadata:
  name: jellyfin-pv-nfs-config   # < name of the persisant volume ("pv") in kubenetes
  namespace: jellyfin            # < namespace where place the pv
spec:
  capacity:
    storage: 1Gi                   # < max. size we reserve for the pv
  volumeMode: Filesystem
  accessModes:
    - ReadWriteMany                # < Multiple pods can write to storage
  persistentVolumeReclaimPolicy: Retain # < The persistent volume can reclaimed
  storageClassName: default
  hostPath:
    path: /opt/local-path-provisioner/jellyfin
#  nfs:
#    path: /volume1/kubedate/jellyfin/config        # < Name of your NFS share with subfolder
#    server: 10.200.1.200        # < IP number of your NFS server
#    readOnly: false
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: jellyfin-pv-nfs-data
  namespace: jellyfin
spec:
  capacity:
    storage: 300Gi                   # < max. size we reserve for the pv. A bigger value than the configdata
  volumeMode: Filesystem
  accessModes:
    - ReadWriteMany
  persistentVolumeReclaimPolicy: Retain
#  nfs:
#    path: /volume1/kubedate/jellyfin/data
#    server: 10.200.1.200
#    readOnly: false
  storageClassName: default
  hostPath:
    path: /opt/local-path-provisioner/jellyfin

kind: Service
apiVersion: v1
metadata:
  name: jellyfin-udp       # < name of the service
  namespace: jellyfin      # < namespace where to place service
  annotations:
    metallb.universe.tf/allow-shared-ip: jellyfin # # < annotation name to combine the Service IP, make sure it's same name as in the service UDP yaml
spec:
  selector:
    app: jellyfin          # < reference to the deployment (connects the service with the deployment)
  ports:
  - port: 1900             # < port to open on the outside on the server
    targetPort: 1900       # < targetport. port on the pod to passthrough
    name: dlna-udp         # < reference name for the port in the deployment yaml
    protocol: UDP
  - port: 7359
    targetPort: 7359
    name: discovery-udp
    protocol: UDP
  type: LoadBalancer
  loadBalancerIP: 192.168.1.212 # < IP to access your jellyfinserver. Should be one from the MetalLB range and the same as the UDP yaml
  sessionAffinity: ClientIP # This is necessary for multi-replica deployments
---
kind: Service
apiVersion: v1
metadata:
  name: jellyfin-tcp       # < name of the service
  namespace: jellyfin      # < namespace where to place service
  annotations:
    metallb.universe.tf/allow-shared-ip: jellyfin # < annotation name to combine the Service IP, make sure it's same name as in the service UDP yaml
spec:
  selector:
    app: jellyfin          # < reference to the deployment (connects the service with the deployment)
  ports:
  - port: 8096             # < port to open on the outside on the server
    targetPort: 8096       # < targetport. port on the pod to passthrough
    name: http-tcp         # < reference name for the port in the deployment yaml
    protocol: TCP
  - port: 8920
    targetPort: 8920
    name: https-tcp
  type: LoadBalancer
  loadBalancerIP: 192.168.1.212 # < IP to access your jellyfinserver. Should be one from the MetalLB range and the same as the TCP yaml
  sessionAffinity: ClientIP # This is necessary for multi-replica deployments

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kind: Service apiVersion: v1 metadata: name: jellyfin-udp # < name of the service namespace: jellyfin # < namespace where to place service annotations: metallb.universe.tf/allow-shared-ip: jellyfin # # < annotation name to combine the Service IP, make sure it's same name as in the service UDP yaml spec: selector: app: jellyfin # < reference to the deployment (connects the service with the deployment) ports: - port: 1900 # < port to open on the outside on the server targetPort: 1900 # < targetport. port on the pod to passthrough name: dlna-udp # < reference name for the port in the deployment yaml protocol: UDP - port: 7359 targetPort: 7359 name: discovery-udp protocol: UDP type: LoadBalancer loadBalancerIP: 192.168.1.212 # < IP to access your jellyfinserver. Should be one from the MetalLB range and the same as the UDP yaml sessionAffinity: ClientIP # This is necessary for multi-replica deployments --- kind: Service apiVersion: v1 metadata: name: jellyfin-tcp # < name of the service namespace: jellyfin # < namespace where to place service annotations: metallb.universe.tf/allow-shared-ip: jellyfin # < annotation name to combine the Service IP, make sure it's same name as in the service UDP yaml spec: selector: app: jellyfin # < reference to the deployment (connects the service with the deployment) ports: - port: 8096 # < port to open on the outside on the server targetPort: 8096 # < targetport. port on the pod to passthrough name: http-tcp # < reference name for the port in the deployment yaml protocol: TCP - port: 8920 targetPort: 8920 name: https-tcp type: LoadBalancer loadBalancerIP: 192.168.1.212 # < IP to access your jellyfinserver. Should be one from the MetalLB range and the same as the TCP yaml sessionAffinity: ClientIP # This is necessary for multi-replica deployments