Add forecasting service

infrastructure/kubernetes/base/forecasting-service.yaml

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+# ================================================================
+# Kubernetes Deployment: infrastructure/kubernetes/base/forecasting-service.yaml
+# ================================================================
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: forecasting-service
+  labels:
+    app: forecasting-service
+spec:
+  replicas: 2
+  selector:
+    matchLabels:
+      app: forecasting-service
+  template:
+    metadata:
+      labels:
+        app: forecasting-service
+    spec:
+      containers:
+      - name: forecasting-service
+        image: bakery-forecasting/forecasting-service:latest
+        ports:
+        - containerPort: 8000
+        env:
+        - name: DATABASE_URL
+          valueFrom:
+            secretKeyRef:
+              name: forecasting-db-secret
+              key: database-url
+        - name: RABBITMQ_URL
+          valueFrom:
+            secretKeyRef:
+              name: rabbitmq-secret
+              key: url
+        - name: REDIS_URL
+          valueFrom:
+            secretKeyRef:
+              name: redis-secret
+              key: url
+        - name: TRAINING_SERVICE_URL
+          value: "http://training-service:8000"
+        - name: DATA_SERVICE_URL
+          value: "http://data-service:8000"
+        resources:
+          requests:
+            memory: "512Mi"
+            cpu: "250m"
+          limits:
+            memory: "1Gi"
+            cpu: "500m"
+        livenessProbe:
+          httpGet:
+            path: /health
+            port: 8000
+          initialDelaySeconds: 30
+          periodSeconds: 10
+        readinessProbe:
+          httpGet:
+            path: /health
+            port: 8000
+          initialDelaySeconds: 5
+          periodSeconds: 5
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: forecasting-service
+  labels:
+    app: forecasting-service
+spec:
+  selector:
+    app: forecasting-service
+  ports:
+  - port: 8000
+    targetPort: 8000
+  type: ClusterIP
+

infrastructure/monitoring/prometheus/forecasting-service.yml

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+# ================================================================
+# Monitoring Configuration: infrastructure/monitoring/prometheus/forecasting-service.yml
+# ================================================================
+groups:
+- name: forecasting-service
+  rules:
+  - alert: ForecastingServiceDown
+    expr: up{job="forecasting-service"} == 0
+    for: 1m
+    labels:
+      severity: critical
+    annotations:
+      summary: "Forecasting service is down"
+      description: "Forecasting service has been down for more than 1 minute"
+
+  - alert: HighForecastingLatency
+    expr: histogram_quantile(0.95, forecast_processing_time_seconds) > 10
+    for: 5m
+    labels:
+      severity: warning
+    annotations:
+      summary: "High forecasting latency"
+      description: "95th percentile forecasting latency is {{ $value }}s"
+
+  - alert: ForecastingErrorRate
+    expr: rate(forecasting_errors_total[5m]) > 0.1
+    for: 5m
+    labels:
+      severity: critical
+    annotations:
+      summary: "High forecasting error rate"
+      description: "Forecasting error rate is {{ $value }} errors/sec"
+
+  - alert: LowModelAccuracy
+    expr: avg(model_accuracy_score) < 0.7
+    for: 10m
+    labels:
+      severity: warning
+    annotations:
+      summary: "Low model accuracy detected"
+      description: "Average model accuracy is {{ $value }}"
+