install jellyfin
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0268cc1377
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# infrastructure/core/daemonsets/device-plugin-jetson/daemonset.yaml
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apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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name: nvidia-device-plugin-jetson
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namespace: kube-system
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labels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: jetson
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spec:
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selector:
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matchLabels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: jetson
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template:
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metadata:
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labels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: jetson
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spec:
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nodeSelector:
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kubernetes.io/arch: arm64
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jetson: "true"
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tolerations:
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- operator: Exists
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priorityClassName: system-node-critical
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containers:
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- name: nvidia-device-plugin-ctr
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image: nvcr.io/nvidia/k8s-device-plugin:v0.16.2
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imagePullPolicy: IfNotPresent
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args:
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- "--fail-on-init-error=false"
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- "--device-list-strategy=envvar,cdi"
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securityContext:
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privileged: true
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env:
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- name: NVIDIA_VISIBLE_DEVICES
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value: "all"
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- name: NVIDIA_DRIVER_CAPABILITIES
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value: "compute,video,utility"
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volumeMounts:
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- name: device-plugin
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mountPath: /var/lib/kubelet/device-plugins
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volumes:
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- name: device-plugin
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hostPath:
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path: /var/lib/kubelet/device-plugins
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# infrastructure/core/daemonsets/device-plugin-jetson/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources: [daemonset.yaml]
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# infrastructure/core/daemonsets/device-plugin-minipc/daemonset.yaml
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apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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name: nvidia-device-plugin-minipc
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namespace: kube-system
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labels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: titan22
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spec:
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selector:
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matchLabels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: titan22
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template:
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metadata:
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labels:
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app.kubernetes.io/name: nvidia-device-plugin
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app.kubernetes.io/instance: titan22
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spec:
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nodeSelector:
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kubernetes.io/hostname: titan-22
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kubernetes.io/arch: amd64
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tolerations:
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- operator: Exists
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priorityClassName: system-node-critical
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containers:
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- name: nvidia-device-plugin-ctr
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image: nvcr.io/nvidia/k8s-device-plugin:v0.16.2
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imagePullPolicy: IfNotPresent
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args:
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- "--fail-on-init-error=false"
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- "--device-list-strategy=envvar,cdi"
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securityContext:
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privileged: true
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env:
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- name: NVIDIA_VISIBLE_DEVICES
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value: "all"
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- name: NVIDIA_DRIVER_CAPABILITIES
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value: "compute,video,utility"
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volumeMounts:
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- name: device-plugin
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mountPath: /var/lib/kubelet/device-plugins
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volumes:
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- name: device-plugin
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hostPath:
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path: /var/lib/kubelet/device-plugins
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# infrastructure/core/daemonsets/device-plugin-minipc/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources: [daemonset.yaml]
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# infrastructure/core/daemonsets/kustomization-device-plugin-jetson.yaml
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apiVersion: kustomize.toolkit.fluxcd.io/v1
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kind: Kustomization
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metadata:
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name: nvidia-device-plugin-jetson
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namespace: flux-system
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spec:
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suspend: true
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interval: 10m
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path: ./infrastructure/core/daemonsets/device-plugin-jetson
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prune: true
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sourceRef:
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kind: GitRepository
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name: flux-system
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namespace: flux-system
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# infrastructure/core/daemonsets/kustomization-device-plugin-minipc.yaml
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apiVersion: kustomize.toolkit.fluxcd.io/v1
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kind: Kustomization
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metadata:
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name: nvidia-device-plugin-minipc
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namespace: flux-system
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spec:
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suspend: false
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interval: 10m
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path: ./infrastructure/core/daemonsets/device-plugin-minipc
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prune: true
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sourceRef:
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kind: GitRepository
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name: flux-system
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namespace: flux-system
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources:
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- sc-asteria.yaml
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- sc-astreae.yaml
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- pc-scavenger.yaml
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- ./storageclass/kustomization.yaml
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- ./priorityclass/kustomization.yaml
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- ./daemonsets/kustomization-device-plugin-minipc.yaml
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- ./daemonsets/kustomization-device-plugin-jetson.yaml
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5
infrastructure/core/priorityclass/kustomization.yaml
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5
infrastructure/core/priorityclass/kustomization.yaml
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# infrastructure/core/priorityclass/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources:
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- scavenger.yaml
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# infrastructure/core/pc-scavenger.yaml
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# infrastructure/core/priorityclass/scavenger.yaml
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apiVersion: scheduling.k8s.io/v1
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kind: PriorityClass
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metadata:
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# infrastructure/core/sc-asteria.yaml
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# infrastructure/core/storageclass/asteria.yaml
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apiVersion: storage.k8s.io/v1
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kind: StorageClass
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metadata:
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# infrastructure/core/sc-astreae.yaml
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# infrastructure/core/storageclass/astreae.yaml
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apiVersion: storage.k8s.io/v1
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kind: StorageClass
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metadata:
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6
infrastructure/core/storageclass/kustomization.yaml
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6
infrastructure/core/storageclass/kustomization.yaml
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# infrastructure/core/storageclass/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources:
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- asteria.yaml
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- astreae.yaml
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# infrastructure/flux-system/kustomization-helm.yaml
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apiVersion: kustomize.toolkit.fluxcd.io/v1
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kind: Kustomization
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metadata:
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19
infrastructure/flux-system/kustomization-jellyfin.yaml
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19
infrastructure/flux-system/kustomization-jellyfin.yaml
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# infrastructure/flux-system/kustomization-jellyfin.yaml
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apiVersion: kustomize.toolkit.fluxcd.io/v1
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kind: Kustomization
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metadata:
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name: jellyfin
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namespace: flux-system
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spec:
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interval: 10m
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path: ./services/jellyfin
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targetNamespace: jellyfin
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prune: true
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sourceRef:
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kind: GitRepository
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name: flux-system
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namespace: flux-system
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dependsOn:
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- name: core
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wait: true
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timeout: 5m
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# infrastructure/flux-system/kustomization-vault.yaml
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apiVersion: kustomize.toolkit.fluxcd.io/v1
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kind: Kustomization
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metadata:
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- kustomization-vault.yaml
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- kustomization-crypto.yaml
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- kustomization-monerod.yaml
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- kustomization-jellyfin.yaml
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- kustomization-xmr-miner.yaml
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62
services/jellyfin/deployment.yaml
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62
services/jellyfin/deployment.yaml
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# 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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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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runtimeClassName: nvidia
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containers:
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- name: jellyfin
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image: docker.io/jellyfin/jellyfin:2025082505
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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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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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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
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- name: cache
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persistentVolumeClaim:
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claimName: jellyfin-cache
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- name: media
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persistentVolumeClaim:
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claimName: jellyfin-media
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24
services/jellyfin/ingress.yaml
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24
services/jellyfin/ingress.yaml
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# services/jellyfin/ingress.yaml
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: jellyfin
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namespace: jellyfin
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annotations:
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cert-manager.io/cluster-issuer: letsencrypt
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spec:
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ingressClassName: traefik
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rules:
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- host: stream.bstein.dev
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http:
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paths:
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- path: /
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pathType: Prefix
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backend:
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service:
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name: jellyfin
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port:
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number: 80
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tls:
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- hosts: [stream.bstein.dev]
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secretName: jellyfin-tls
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10
services/jellyfin/kustomization.yaml
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10
services/jellyfin/kustomization.yaml
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# services/jellyfin/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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resources:
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- namespace.yaml
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- pvc.yaml
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- service.yaml
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- deployment.yaml
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- ingress.yaml
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- runtimeclass.yaml
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5
services/jellyfin/namespace.yaml
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5
services/jellyfin/namespace.yaml
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# services/jellyfin/namespace.yaml
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apiVersion: v1
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kind: Namespace
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metadata:
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name: jellyfin
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37
services/jellyfin/pvc.yaml
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37
services/jellyfin/pvc.yaml
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# services/jellyfin/pvc.yaml
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: jellyfin-config
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namespace: jellyfin
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spec:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 10Gi
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: jellyfin-cache
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namespace: jellyfin
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spec:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 50Gi
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: jellyfin-media
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namespace: jellyfin
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spec:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 1Ti
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6
services/jellyfin/runtimeclass.yaml
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6
services/jellyfin/runtimeclass.yaml
Normal file
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# services/jellyfin/runtimeclass.yaml
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apiVersion: node.k8s.io/v1
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kind: RuntimeClass
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metadata:
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name: nvidia
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handler: nvidia
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14
services/jellyfin/service.yaml
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14
services/jellyfin/service.yaml
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# services/jellyfin/service.yaml
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apiVersion: v1
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kind: Service
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metadata:
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name: jellyfin
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namespace: jellyfin
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spec:
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type: ClusterIP
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selector:
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app: jellyfin
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ports:
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- name: http
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port: 80
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targetPort: 8096
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