88 lines
2.5 KiB
YAML
88 lines
2.5 KiB
YAML
# services/jellyfin/deployment.yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: jellyfin
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namespace: jellyfin
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labels:
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app: jellyfin
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spec:
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replicas: 1
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 0
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maxUnavailable: 1
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selector:
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matchLabels:
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app: jellyfin
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template:
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metadata:
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labels:
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app: jellyfin
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spec:
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nodeSelector:
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jellyfin: "true"
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securityContext:
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runAsUser: 1000
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fsGroup: 65532
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fsGroupChangePolicy: OnRootMismatch
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runAsGroup: 65532
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runtimeClassName: nvidia
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containers:
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- name: jellyfin
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image: docker.io/jellyfin/jellyfin:10.10.7
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imagePullPolicy: IfNotPresent
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ports:
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- name: http
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containerPort: 8096
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command: ["/bin/sh","-lc"]
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args:
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- >
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set -e;
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umask 0002;
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BIN="$(command -v jellyfin || true)";
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if [ -z "$BIN" ] && [ -x /usr/lib/jellyfin/bin/jellyfin ]; then BIN=/usr/lib/jellyfin/bin/jellyfin; fi;
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if [ -z "$BIN" ]; then echo "jellyfin binary not found" >&2; ls -la /usr/lib/jellyfin/bin || true; exit 127; fi;
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exec "$BIN" --datadir /config --cachedir /cache --ffmpeg /usr/lib/jellyfin-ffmpeg/ffmpeg
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env:
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- name: NVIDIA_DRIVER_CAPABILITIES
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value: "compute,video,utility"
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- name: JELLYFIN_PublishedServerUrl
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value: "https://stream.bstein.dev"
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- name: PUID
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value: "1000"
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- name: PGID
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value: "65532"
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- name: UMASK
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value: "002"
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resources:
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limits:
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nvidia.com/gpu: 1
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# cpu: "4"
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# memory: 8Gi
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requests:
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nvidia.com/gpu: 1
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cpu: "500m"
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memory: 1Gi
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volumeMounts:
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- name: config
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mountPath: /config
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- name: cache
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mountPath: /cache
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- name: media
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mountPath: /media
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: false
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volumes:
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- name: config
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persistentVolumeClaim:
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claimName: jellyfin-config-astreae
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- name: cache
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persistentVolumeClaim:
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claimName: jellyfin-cache-astreae
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- name: media
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persistentVolumeClaim:
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claimName: jellyfin-media-asteria
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