Full migration off Scaleway Container Registry to internal GitLab registry backed by MinIO S3. All 4 images (ci-builder, ci-builder-cpu, foxhunt-runtime, foxhunt-training-runtime) rebuilt in internal registry. Registry & images: - All image refs → gitlab-registry.foxhunt.svc.cluster.local:5000/root/foxhunt/ - imagePullSecrets: scw-registry → gitlab-registry - Kaniko build template: two-step DAG (git-clone → kaniko-build) with shared PVC - Kaniko layer cache enabled at root/foxhunt/cache - AWS_ACCESS_KEY_ID: $SCW_ACCESS_KEY → $MINIO_ACCESS_KEY in .gitlab-ci.yml Network policies: - ci-pipeline: add HTTP/80, registry/5000, webservice/8181 egress rules DNS & Tailscale proxy cleanup: - Remove ci, prometheus, monitor DNS records (no longer exposed) - Rename s3 → minio DNS record - Remove Argo UI, Prometheus, monitor nginx server blocks - Remove argo-htpasswd volume mount - Tailscale proxy nodeSelector: infra → platform Terraform cleanup: - Delete infra/modules/registry/ (SCW CR namespace) - Delete infra/modules/object-storage/ (SCW S3 buckets) - Delete infra/modules/secrets/ (SCW secrets) - Delete corresponding live configs - TF state backend: S3 → GitLab HTTP Argo workflows: - Add events/ (GitLab push eventsource + ci-pipeline sensor) - ci-pipeline + training templates: SCW → internal registry - Delete obsolete compile-training-template.yaml Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
237 lines
6.9 KiB
YAML
237 lines
6.9 KiB
YAML
apiVersion: v1
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kind: ServiceAccount
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metadata:
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name: ml-training-service
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: Role
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metadata:
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name: ml-training-job-manager
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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rules:
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- apiGroups: ["batch"]
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resources: ["jobs"]
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verbs: ["create", "get", "list", "watch", "delete"]
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- apiGroups: [""]
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resources: ["pods", "pods/log"]
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verbs: ["get", "list", "watch"]
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: RoleBinding
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metadata:
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name: ml-training-job-manager
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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subjects:
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- kind: ServiceAccount
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name: ml-training-service
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namespace: foxhunt
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roleRef:
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kind: Role
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name: ml-training-job-manager
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apiGroup: rbac.authorization.k8s.io
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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: ml-training-service
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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spec:
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replicas: 1
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 0
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maxUnavailable: 1
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selector:
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matchLabels:
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app.kubernetes.io/name: ml-training-service
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template:
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metadata:
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annotations:
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gitlab.com/prometheus_scrape: "true"
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gitlab.com/prometheus_port: "9094"
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gitlab.com/prometheus_path: "/metrics"
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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spec:
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serviceAccountName: ml-training-service
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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runAsGroup: 1000
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fsGroup: 1000
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seccompProfile:
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type: RuntimeDefault
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imagePullSecrets:
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- name: gitlab-registry
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nodeSelector:
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k8s.scaleway.com/pool-name: foxhunt
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initContainers:
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- name: fetch-binary
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image: gitlab-registry.foxhunt.svc.cluster.local:5000/root/foxhunt/foxhunt-runtime:latest
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command: ["/bin/sh", "-c"]
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args:
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- |
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set -e
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rclone copyto \
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":s3:foxhunt-binaries/services/ml-training-service" \
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"/binaries/ml-training-service" \
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--s3-provider=Minio \
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--s3-endpoint=https://minio.foxhunt.svc.cluster.local:9000 \
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--s3-access-key-id="${MINIO_ACCESS_KEY}" \
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--s3-secret-access-key="${MINIO_SECRET_KEY}" \
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--s3-no-check-bucket \
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--no-check-certificate
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chmod +x /binaries/ml-training-service
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echo "Fetched ml-training-service ($(stat -c%s /binaries/ml-training-service) bytes)"
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env:
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- name: MINIO_ACCESS_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: access-key
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- name: MINIO_SECRET_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: secret-key
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volumeMounts:
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- name: binaries
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mountPath: /binaries
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resources:
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requests:
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cpu: 100m
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memory: 64Mi
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limits:
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cpu: 500m
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memory: 128Mi
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containers:
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- name: ml-training-service
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image: gitlab-registry.foxhunt.svc.cluster.local:5000/root/foxhunt/foxhunt-runtime:latest
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: true
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capabilities:
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drop: ["ALL"]
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command: ["/binaries/ml-training-service", "serve"]
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ports:
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- containerPort: 50053
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name: grpc
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- containerPort: 9094
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name: metrics
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env:
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- name: DATABASE_PASSWORD
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valueFrom:
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secretKeyRef:
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name: db-credentials
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key: password
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- name: DATABASE_URL
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value: "postgresql://foxhunt:$(DATABASE_PASSWORD)@postgres:5432/foxhunt"
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- name: REDIS_URL
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value: "redis://redis:6379"
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- name: JWT_SECRET
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valueFrom:
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secretKeyRef:
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name: jwt-secret
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key: secret
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- name: JWT_ISSUER
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value: foxhunt-api
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- name: JWT_AUDIENCE
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value: foxhunt-services
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- name: S3_ENDPOINT
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value: "https://minio.foxhunt.svc.cluster.local:9000"
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- name: S3_BUCKET
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value: foxhunt-models
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- name: MINIO_CA_CERT_PATH
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value: /etc/ssl/minio-ca/ca.crt
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- name: AWS_ACCESS_KEY_ID
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: access-key
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- name: AWS_SECRET_ACCESS_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: secret-key
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- name: RUST_LOG
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value: "info,opentelemetry=warn,h2=warn,tonic=warn,hyper=warn"
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- name: OTEL_EXPORTER_OTLP_ENDPOINT
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value: "http://tempo.foxhunt.svc.cluster.local:4317"
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volumeMounts:
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- name: binaries
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mountPath: /binaries
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readOnly: true
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- name: tls-certs
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mountPath: /app/certs/ml_training_service
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readOnly: true
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- name: minio-ca
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mountPath: /etc/ssl/minio-ca
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readOnly: true
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- name: tmp
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mountPath: /tmp
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readinessProbe:
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tcpSocket:
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port: 50053
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initialDelaySeconds: 15
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periodSeconds: 10
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livenessProbe:
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tcpSocket:
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port: 50053
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initialDelaySeconds: 30
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periodSeconds: 15
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failureThreshold: 5
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resources:
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requests:
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cpu: 200m
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memory: 256Mi
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limits:
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cpu: 500m
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memory: 512Mi
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volumes:
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- name: binaries
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emptyDir:
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sizeLimit: 200Mi
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- name: tls-certs
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secret:
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secretName: ml-training-tls
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- name: minio-ca
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configMap:
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name: minio-ca-cert
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- name: tmp
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emptyDir:
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sizeLimit: 50Mi
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: ml-training-service
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: ml-training-service
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app.kubernetes.io/part-of: foxhunt
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spec:
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selector:
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app.kubernetes.io/name: ml-training-service
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ports:
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- port: 50053
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targetPort: 50053
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name: grpc
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- port: 9094
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targetPort: 9094
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name: metrics
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