blumeops/argocd/manifests/immich/deployment-ml.yaml
Erich Blume 64200a55c5 Migrate Immich from Helm chart to kustomize manifests (v2.5.6 → v2.6.3)
Replace the Helm chart deployment with plain kustomize manifests following
the Authentik pattern (separate deployments per component). Consolidate
the immich-storage ArgoCD app into the main immich app. Add no-helm-policy
doc establishing kustomize as the standard deployment mechanism.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-04 09:42:25 -07:00

60 lines
1.5 KiB
YAML

---
apiVersion: apps/v1
kind: Deployment
metadata:
name: immich-machine-learning
namespace: immich
spec:
replicas: 1
selector:
matchLabels:
app: immich
component: machine-learning
template:
metadata:
labels:
app: immich
component: machine-learning
spec:
containers:
- name: machine-learning
image: ghcr.io/immich-app/immich-machine-learning:kustomized
ports:
- name: http
containerPort: 3003
env:
- name: TZ
value: "America/Los_Angeles"
- name: TRANSFORMERS_CACHE
value: /cache
- name: HF_XET_CACHE
value: /cache/huggingface-xet
- name: MPLCONFIGDIR
value: /cache/matplotlib-config
volumeMounts:
- name: cache
mountPath: /cache
livenessProbe:
httpGet:
path: /ping
port: 3003
initialDelaySeconds: 30
periodSeconds: 30
timeoutSeconds: 5
readinessProbe:
httpGet:
path: /ping
port: 3003
initialDelaySeconds: 15
periodSeconds: 10
timeoutSeconds: 5
resources:
requests:
memory: "512Mi"
cpu: "100m"
limits:
memory: "4Gi"
volumes:
- name: cache
persistentVolumeClaim:
claimName: immich-ml-cache