feat(boc): Complete Business Operations Center v1.0

- Go backend API with full CRUD for all modules (CRM, Sales, Finance, HR, Legal, Marketing, Support, Purchase, Inventory, Projects, Automation, Analytics)
- Rust analytics service with parallel report generation
- C runtime with POSIX shared memory IPC
- PostgreSQL schema with 30+ tables, full migrations
- Redis cache, sessions, pub/sub
- Kafka event streaming with Zookeeper
- WebSocket hub for real-time updates
- Automation engine with cron jobs, workflows, event triggers
- JWT authentication, multi-tenant from start
- Docker Compose with all services
- Nginx reverse proxy with rate limiting
- Integration tests passing
- Feature gap analysis against Fortnox/Odoo/Visma

Refs: BOC-001

vims-core/instances/continuous-monitoring/README.md

@@ -0,0 +1,27 @@
+# Continuous Infrastructure Monitoring
+
+VIMS instance for continuous-monitoring.
+
+## Related Article
+[/insights/continuous-monitoring-vs-periodic-inspection/](https://landvex.com/insights/continuous-monitoring-vs-periodic-inspection/)
+
+## Anomaly Classes
+- structural_change
+- environmental_degradation
+- usage_wear
+- weather_damage
+- vandalism_new
+
+## Quick Start
+
+1. Add training images to `data/raw/`
+2. Annotate using LabelImg (YOLO format)
+3. Run preprocessing: `python src/detector.py`
+4. Train model: `python src/detector.py --train`
+5. Run inference: `python src/detector.py --predict data/test/image.jpg`
+
+## API
+
+Once deployed, access via:
+- REST: `POST /api/continuous-monitoring/predict`
+- WebSocket: `ws://host/ws/continuous-monitoring/alerts`

vims-core/instances/continuous-monitoring/config.yaml

@@ -0,0 +1,20 @@
+# continuous-monitoring configuration
+
+topic: continuous-monitoring
+display_name: Continuous Infrastructure Monitoring
+article_url: /insights/continuous-monitoring-vs-periodic-inspection/
+
+anomaly_classes:
+  - structural_change
+  - environmental_degradation
+  - usage_wear
+  - weather_damage
+  - vandalism_new
+
+model:
+  base: yolov8n.pt
+  input_size: 640
+  
+training:
+  epochs: 100
+  batch_size: 16

vims-core/instances/continuous-monitoring/src/database.py

@@ -0,0 +1,20 @@
+"""
+Database setup for Continuous Infrastructure Monitoring
+"""
+
+import sys
+from pathlib import Path
+sys.path.append(str(Path(__file__).parent.parent.parent / "core"))
+
+from database import VIMSDatabase
+
+
+def setup():
+    """Initialize database for continuous-monitoring."""
+    db = VIMSDatabase("continuous-monitoring")
+    db.create_schema(anomaly_classes=['structural_change', 'environmental_degradation', 'usage_wear', 'weather_damage', 'vandalism_new'])
+    print(f"Database initialized for Continuous Infrastructure Monitoring")
+
+
+if __name__ == "__main__":
+    setup()

vims-core/instances/continuous-monitoring/src/detector.py

@@ -0,0 +1,42 @@
+"""
+continuous-monitoring Anomaly Detector
+Generated by VIMS Instance Creator
+Related article: /insights/continuous-monitoring-vs-periodic-inspection/
+"""
+
+import sys
+from pathlib import Path
+sys.path.append(str(Path(__file__).parent.parent.parent / "core"))
+
+from base_detector import VIMSBaseDetector, VIMSInstanceRegistry
+
+
+class ContinuousMonitoringDetector(VIMSBaseDetector):
+    """
+    Anomaly detector for Continuous Infrastructure Monitoring.
+    
+    Article: /insights/continuous-monitoring-vs-periodic-inspection/
+    """
+    
+    TOPIC = "continuous-monitoring"
+    CLASS_NAMES = {
+        0: "structural_change", 1: "environmental_degradation", 2: "usage_wear", 3: "weather_damage", 4: "vandalism_new"
+    }
+    
+    SEVERITY_MAP = {
+        "structural_change": 3, "environmental_degradation": 3, "usage_wear": 3, "weather_damage": 3, "vandalism_new": 3
+    }
+    
+    def preprocess(self, image):
+        """continuous-monitoring-specific preprocessing."""
+        # TODO: Implement specific preprocessing
+        return image
+    
+    def postprocess(self, raw_output):
+        """continuous-monitoring-specific postprocessing."""
+        # TODO: Implement specific postprocessing
+        return raw_output
+
+
+# Register instance
+VIMSInstanceRegistry.register("continuous-monitoring", ContinuousMonitoringDetector)