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Build and Deploy GooSeek / build-and-deploy (push) Failing after 8m25s
- Add tier-based provider routing in llm-svc - free tier → Ollama (local qwen3.5:9b) - pro/business → Timeweb Cloud AI - Add /api/v1/embed endpoint for embeddings via Ollama - Update Ollama client: qwen3.5:9b default, remove auth - Add GenerateEmbedding() function for qwen3-embedding:0.6b - Add Ollama K8s deployment with GPU support (RTX 4060 Ti) - Add monitoring stack (Prometheus, Grafana, Alertmanager) - Add Grafana dashboards for LLM and security metrics - Update deploy.sh with monitoring and Ollama deployment Made-with: Cursor
131 lines
2.8 KiB
YAML
131 lines
2.8 KiB
YAML
# Ollama Deployment with GPU
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# Требования: NVIDIA GPU Operator установлен в кластере
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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: ollama
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namespace: gooseek
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labels:
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app: ollama
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app.kubernetes.io/name: ollama
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app.kubernetes.io/part-of: gooseek
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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: ollama
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template:
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metadata:
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labels:
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app: ollama
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spec:
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runtimeClassName: nvidia
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containers:
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# Ollama server (только GPU)
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- name: ollama
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image: ollama/ollama:latest
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ports:
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- containerPort: 11434
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name: http
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env:
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- name: OLLAMA_HOST
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value: "0.0.0.0:11434"
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- name: OLLAMA_KEEP_ALIVE
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value: "24h"
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- name: OLLAMA_MODELS
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value: "/root/.ollama/models"
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# Параллельная обработка для SaaS
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- name: OLLAMA_NUM_PARALLEL
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value: "4"
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- name: OLLAMA_MAX_LOADED_MODELS
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value: "2"
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- name: OLLAMA_FLASH_ATTENTION
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value: "true"
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# GPU
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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,utility"
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volumeMounts:
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- name: ollama-data
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mountPath: /root/.ollama
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resources:
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requests:
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cpu: 1000m
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memory: 8Gi
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nvidia.com/gpu: 1
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limits:
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cpu: 4000m
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memory: 16Gi
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nvidia.com/gpu: 1
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livenessProbe:
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httpGet:
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path: /
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port: 11434
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initialDelaySeconds: 30
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periodSeconds: 30
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timeoutSeconds: 5
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readinessProbe:
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httpGet:
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path: /
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port: 11434
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initialDelaySeconds: 10
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periodSeconds: 10
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timeoutSeconds: 5
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volumes:
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- name: ollama-data
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persistentVolumeClaim:
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claimName: ollama-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: ollama-pvc
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namespace: gooseek
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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: 20Gi
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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: ollama
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namespace: gooseek
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spec:
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type: ClusterIP
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selector:
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app: ollama
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ports:
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- port: 11434
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targetPort: 11434
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name: http
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---
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# NetworkPolicy: llm-svc и model-loader могут обращаться к ollama
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apiVersion: networking.k8s.io/v1
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kind: NetworkPolicy
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metadata:
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name: ollama-access
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namespace: gooseek
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spec:
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podSelector:
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matchLabels:
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app: ollama
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policyTypes:
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- Ingress
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ingress:
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- from:
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- podSelector:
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matchLabels:
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app: llm-svc
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- podSelector:
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matchLabels:
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app: ollama-model-loader
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ports:
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- protocol: TCP
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port: 11434
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