forust
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Server x2, machine learning, valkey and VectorChord postgres on local storage, Traefik routes for external and internal access.
93 lines
2.3 KiB
YAML
93 lines
2.3 KiB
YAML
apiVersion: v1
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kind: Service
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metadata:
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name: immich-machine-learning
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namespace: immich
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spec:
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selector:
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app: immich-machine-learning
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ports:
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- name: http
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port: 3003
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targetPort: 3003
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: immich-machine-learning-deployment
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namespace: immich
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labels:
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app: immich-machine-learning
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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: immich-machine-learning
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template:
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metadata:
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labels:
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app: immich-machine-learning
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spec:
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containers:
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- name: immich-machine-learning
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image: ghcr.io/immich-app/immich-machine-learning:v3
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envFrom:
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- configMapRef:
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name: immich-config
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- secretRef:
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name: immich-secrets
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ports:
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- name: http
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containerPort: 3003
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volumeMounts:
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- name: model-cache
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mountPath: /cache
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# The first request pulls a model over the internet, so a cold start
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# is slower than a container start.
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startupProbe:
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httpGet:
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path: /ping
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port: http
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failureThreshold: 60
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periodSeconds: 5
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timeoutSeconds: 5
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readinessProbe:
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httpGet:
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path: /ping
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port: http
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periodSeconds: 10
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timeoutSeconds: 5
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livenessProbe:
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httpGet:
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path: /ping
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port: http
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initialDelaySeconds: 30
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periodSeconds: 30
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timeoutSeconds: 5
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# Same reasoning as the server: the request covers the idle cost
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# only, because the node has no spare cores to schedule against.
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# Recognition is the burst - a busy import wants both cores.
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resources:
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requests:
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cpu: "100m"
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memory: "1Gi"
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limits:
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cpu: "2000m"
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memory: "3Gi"
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volumes:
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- name: model-cache
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persistentVolumeClaim:
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claimName: immich-model-cache-pvc
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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: immich-model-cache-pvc
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namespace: immich
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 2Gi
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