mirror of
https://github.com/k8s-at-home/charts.git
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527dd9fcc9
Signed-off-by: Bᴇʀɴᴅ Sᴄʜᴏʀɢᴇʀs <me@bjw-s.dev>
78 lines
2.0 KiB
YAML
78 lines
2.0 KiB
YAML
#
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# IMPORTANT NOTE
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#
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# This chart inherits from our common library chart. You can check the default values/options here:
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# https://github.com/k8s-at-home/library-charts/tree/main/charts/stable/common/values.yaml
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#
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image:
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# -- image repository
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repository: jellyfin/jellyfin
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# -- image tag
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tag: 10.7.5
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# -- image pull policy
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pullPolicy: IfNotPresent
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# -- environment variables. See [image docs](https://jellyfin.org/docs/general/administration/configuration.html) for more details.
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# @default -- See below
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env:
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# -- Set the container timezone
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TZ: UTC
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# -- Configures service settings for the chart.
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# @default -- See values.yaml
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service:
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main:
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ports:
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http:
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port: 8096
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ingress:
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# -- Enable and configure ingress settings for the chart under this key.
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# @default -- See values.yaml
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main:
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enabled: false
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# -- Configure persistence settings for the chart under this key.
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# @default -- See values.yaml
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persistence:
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config:
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enabled: false
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# Cache does NOT contain temporary transcoding data.
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cache:
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enabled: false
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mountPath: /cache
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media:
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enabled: false
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mountPath: /media
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# -- Configure the Security Context for the Pod
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podSecurityContext: {}
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# runAsUser: 568
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# runAsGroup: 568
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# fsGroup: 568
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# # Hardware acceleration using an Intel iGPU w/ QuickSync
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# # These IDs below should be matched to your `video` and `render` group on the host
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# # To obtain those IDs run the following grep statement on the host:
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# # $ cat /etc/group | grep "video\|render"
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# # video:x:44:
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# # render:x:109:
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# supplementalGroups:
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# - 44
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# - 109
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# resources:
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# requests:
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# # Hardware acceleration using an Intel iGPU w/ QuickSync and
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# # using intel-gpu-plugin (https://github.com/intel/intel-device-plugins-for-kubernetes)
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# gpu.intel.com/i915: 1
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# cpu: 200m
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# memory: 256Mi
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# limits:
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# # Hardware acceleration using an Intel iGPU w/ QuickSync and
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# # using intel-gpu-plugin (https://github.com/intel/intel-device-plugins-for-kubernetes)
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# gpu.intel.com/i915: 1
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# memory: 4096Mi
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