- Docker Compose for infrastructure (MongoDB, Redis, Kafka, Zookeeper) - Docker for central control (Scheduler, Monitor, Language Sync) - K8s for scalable workers (RSS, Google Search, Translator, AI Generator, Image Generator) - Automatic scaling with HPA (Horizontal Pod Autoscaler) - Comprehensive deployment scripts and documentation - Updated README with hybrid deployment guide
78 lines
1.8 KiB
YAML
78 lines
1.8 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: pipeline-google-search
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namespace: site11-pipeline
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labels:
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app: pipeline-google-search
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component: data-collector
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spec:
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replicas: 2
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selector:
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matchLabels:
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app: pipeline-google-search
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template:
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metadata:
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labels:
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app: pipeline-google-search
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component: data-collector
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spec:
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containers:
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- name: google-search
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image: site11/pipeline-google-search:latest
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imagePullPolicy: Always
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envFrom:
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- configMapRef:
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name: pipeline-config
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- secretRef:
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name: pipeline-secrets
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resources:
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requests:
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memory: "256Mi"
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cpu: "100m"
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limits:
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memory: "512Mi"
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cpu: "500m"
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livenessProbe:
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exec:
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command:
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- python
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- -c
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- "import redis; r=redis.from_url('redis://host.docker.internal:6379'); r.ping()"
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initialDelaySeconds: 30
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periodSeconds: 30
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readinessProbe:
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exec:
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command:
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- python
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- -c
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- "import redis; r=redis.from_url('redis://host.docker.internal:6379'); r.ping()"
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initialDelaySeconds: 10
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periodSeconds: 10
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---
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apiVersion: autoscaling/v2
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kind: HorizontalPodAutoscaler
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metadata:
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name: pipeline-google-search-hpa
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namespace: site11-pipeline
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: pipeline-google-search
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minReplicas: 1
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maxReplicas: 5
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 70
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- type: Resource
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resource:
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name: memory
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target:
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type: Utilization
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averageUtilization: 80 |