Gluttony-Cluster/plex/helmrelease-plex.yaml

147 lines
4.3 KiB
YAML
Raw Normal View History

2023-10-03 01:04:35 +00:00
apiVersion: helm.toolkit.fluxcd.io/v2beta1
2023-10-03 01:01:33 +00:00
kind: HelmRelease
metadata:
name: plex
namespace: plex-ns
2023-10-05 01:09:01 +00:00
annotations:
force-recreate: true
2023-10-03 01:01:33 +00:00
spec:
chart:
spec:
chart: plex
version: 7.1.2
sourceRef:
kind: HelmRepository
name: k8s-homelab
namespace: flux-system
2023-12-03 02:51:04 +00:00
interval: 15m0s
2023-10-03 01:01:33 +00:00
timeout: 5m
releaseName: plex
2023-10-03 02:05:24 +00:00
values:
nodeSelector:
kubernetes.io/hostname: gluttony
#
# IMPORTANT NOTE
#
# This chart inherits from our common library chart. You can check the default values/options here:
# https://github.com/k8s-at-home/library-charts/tree/main/charts/stable/common/values.yaml
#
image:
# -- image repository
repository: ghcr.io/onedr0p/plex
# @default -- chart.appVersion
tag:
# -- image pull policy
pullPolicy: IfNotPresent
# -- environment variables. See [plex docs](https://support.plex.tv/articles/201105343-advanced-hidden-server-settings/) for more details.
# **NOTE:** Plex preference options are camelCase and CASE SENSITIVE!
# You can do horrible things to your Plex configuration if you are not careful
# @default -- See below
env:
# -- Set the container timezone
TZ: EST
# ADVERTISE_IP:
# ALLOWED_NETWORKS:
# PLEX_CLAIM:
# PLEX_PREFERENCE_1: "FriendlyName=plex-kubernetes"
# PLEX_PREFERENCE_2: "EnableIPv6=0"
# PLEX_PREFERENCE_3: "logDebug=0"
# PLEX_PREFERENCE_4: "DisableTLSv1_0=1"
# PLEX_PREFERENCE_5: "LanNetworksBandwidth=xxx.xxx.xxx.0/18\,xxx.xxx.xxx.0/24\,xxx.xxx.xxx.0/24"
# PLEX_PREFERENCE_6: "TranscoderQuality=2"
# PLEX_PREFERENCE_7: "TreatWanIpAsLocal=0"
# PLEX_PREFERENCE_8: "TranscoderH264BackgroundPreset=fast"
# -- Configures service settings for the chart.
# @default -- See values.yaml
service:
2023-10-03 02:39:36 +00:00
main:
type: LoadBalancer
primary: true
ports:
http:
port: 32400
2023-10-03 02:05:24 +00:00
dnla-tcp:
enabled: false
type: NodePort
ports:
dnla-tcp:
enabled: true
port: 32469
protocol: TCP
targetPort: 32469
externalTrafficPolicy: Local
dnla-udp:
enabled: false
type: NodePort
ports:
dnla-udp:
enabled: true
port: 1900
protocol: TCP
targetPort: 1900
externalTrafficPolicy: Local
ingress:
# -- Enable and configure ingress settings for the chart under this key.
# @default -- See values.yaml
main:
enabled: false
# -- Enable devices to be discoverable
hostNetwork: false
# -- Configure persistence settings for the chart under this key.
# @default -- See values.yaml
2023-10-05 00:42:56 +00:00
persistence:
config:
2023-12-03 02:51:04 +00:00
enabled: true
2023-10-05 01:28:08 +00:00
existingClaim: "plex-pvc-config"
2023-10-05 00:42:56 +00:00
storageClass: "local-storage"
size: 120Gi
accessMode: ReadWriteOnce
mountPath: "/config"
2023-10-05 01:08:37 +00:00
media:
enabled: true
2023-10-05 01:28:08 +00:00
existingClaim: "plex-pvc-media"
2023-10-05 01:08:37 +00:00
storageClass: "local-storage"
size: 18000Gi
accessMode: ReadWriteMany
mountPath: "/data"
2023-10-03 02:05:24 +00:00
2023-10-05 00:42:56 +00:00
# transcode:
# enabled: false
# mountPath: /transcode
2023-10-03 02:05:24 +00:00
# -- Configure the Security Context for the Pod
podSecurityContext: {}
# 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
# -- Configure the resource requests and/or limits for the Pod
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