tag jellyfin to specific version

This commit is contained in:
2023-12-11 00:09:34 +01:00
parent cc22e974fa
commit 0bcbce0ad1
3 changed files with 2 additions and 475 deletions

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@@ -1,108 +0,0 @@
image:
# -- image repository
repository: jellyfin/jellyfin
# -- image tag
tag: 10.8.9
# -- image pull policy
pullPolicy: IfNotPresent
# -- environment variables. See [image docs](https://jellyfin.org/docs/general/administration/configuration.html) for more details.
# @default -- See below
env:
# -- Set the container timezone
TZ: Europe/Berlin
# -- Configures service settings for the chart.
# @default -- See values.yaml
service:
main:
ports:
http:
port: 8096
ingress:
# -- Enable and configure ingress settings for the chart under this key.
# @default -- See values.yaml
main:
enabled: false
# -- Configure persistence settings for the chart under this key.
# @default -- See values.yaml
persistence:
config:
enabled: true
type: pvc
existingClaim: jellyfin-config-nfs
accessMode:
- ReadWriteOnce
# Cache does NOT contain temporary transcoding data.
cache:
enabled: false
mountPath: /cache
media:
enabled: true
# use local storage
type: pvc
existingClaim: jellyfin-data-nfs
accessMode:
- ReadWriteOnce
mountPath: /media
# encoder:
# enabled: true
# type: hostPath
# hostPath: /dev/dri/renderD128
# # -- Configure the Security Context for the Pod
# podSecurityContext:
# runAsUser: 0 # root user -> access to /dev/video*
# runAsUser: 568
# runAsGroup: 568
# fsGroup: 568
# # Hardware acceleration using an Intel iGPU w/ QuickSync
# # These IDs below should be matched to your `video` and `render` group on the host
# # To obtain those IDs run the following grep statement on the host:
# # $ cat /etc/group | grep "video\|render"
# # video:x:44:
# # render:x:109:
# supplementalGroups:
# - 44
# - 109
# resources:
# requests:
# # Hardware acceleration using an Intel iGPU w/ QuickSync and
# # using intel-gpu-plugin (https://github.com/intel/intel-device-plugins-for-kubernetes)
# gpu.intel.com/i915: 1
# cpu: 200m
# memory: 256Mi
# limits:
# # Hardware acceleration using an Intel iGPU w/ QuickSync and
# # using intel-gpu-plugin (https://github.com/intel/intel-device-plugins-for-kubernetes)
# gpu.intel.com/i915: 1
# memory: 4096Mi
probes:
# -- Liveness probe configuration
# @default -- See below
liveness:
# -- Enable the liveness probe
enabled: true
# -- Set this to `true` if you wish to specify your own livenessProbe
custom: true
# -- The spec field contains the values for the default livenessProbe.
# If you selected `custom: true`, this field holds the definition of the livenessProbe.
# @default -- See below
spec:
initialDelaySeconds: 100
periodSeconds: 100
timeoutSeconds: 5
failureThreshold: 3
httpGet:
path: /health
port: 8096

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@@ -13,7 +13,7 @@ spec:
spec:
containers:
- name: jellyfin-web
image: jellyfin/jellyfin-vue
image: ghcr.io/jellyfin/jellyfin-vue:unstable.2023-12-08.63507f2
resources:
limits:
memory: "128Mi"
@@ -24,4 +24,4 @@ spec:
- name: TZ
value: Europe/Berlin
- name: DEFAULT_SERVERS
value: "jellyfin-server:8096"
value: "jellyfin-server:8096"