Aleksei SviridkinandClaude
3820862a1a
Add 5 example configurations covering popular deployment scenarios: 1. minimal.yaml - Quick start with ephemeral storage 2. production.yaml - Production setup with PVC and resource limits 3. hardware-acceleration.yaml - GPU transcoding (Intel QuickSync) 4. ingress-tls.yaml - External access with HTTPS and cert-manager 5. network-policy.yaml - Secure deployment with network isolation Includes comprehensive README explaining usage and combinations. Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Aleksei Sviridkin <f@lex.la>
63 lines
1.3 KiB
YAML
63 lines
1.3 KiB
YAML
# Hardware Acceleration (Intel QuickSync)
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# Enables GPU acceleration for video transcoding
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#
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# Prerequisites:
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# - Node with Intel GPU
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# - GPU device plugin installed in cluster
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#
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# Usage:
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# helm install jellyfin jellyfin/jellyfin -f hardware-acceleration.yaml
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#
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# For other GPU types (AMD/NVIDIA), adjust device paths and security context accordingly.
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# See: https://jellyfin.org/docs/general/administration/hardware-acceleration/
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# Security context for hardware acceleration
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securityContext:
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# Required capabilities for GPU access
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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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privileged: false
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runAsUser: 1000
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runAsGroup: 1000
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fsGroup: 1000
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# Mount GPU device
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volumes:
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- name: render-device
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hostPath:
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path: /dev/dri
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type: Directory
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volumeMounts:
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- name: render-device
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mountPath: /dev/dri
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# Optional: Resource limits for GPU
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# Uncomment and adjust for your GPU device plugin
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# resources:
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# limits:
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# gpu.intel.com/i915: 1
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# requests:
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# gpu.intel.com/i915: 1
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# Persistent storage
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persistence:
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config:
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enabled: true
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size: 10Gi
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media:
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enabled: true
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size: 500Gi
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cache:
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enabled: true
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size: 50Gi # Larger cache for transcoding
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# Transcoding environment variables (optional)
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jellyfin:
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env:
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- name: JELLYFIN_PublishedServerUrl
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value: "https://jellyfin.example.com"
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