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Complete Django AI agent marketplace with security optimizations and clean deployment documentation without any API keys or secrets. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
152 lines
3.9 KiB
Markdown
152 lines
3.9 KiB
Markdown
# CapRover Monitoring and Logging Optimization
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## 1. Enhanced Logging Configuration
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### Django Logging (Already Optimized)
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Your current logging setup in settings.py is good. Additional optimizations:
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```python
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# Add to settings.py
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LOGGING_LEVEL = config('LOGGING_LEVEL', default='INFO')
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# Performance monitoring
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PERFORMANCE_MONITORING = {
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'SLOW_QUERY_THRESHOLD': 1.0, # Log queries slower than 1 second
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'MEMORY_THRESHOLD': 100, # MB
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}
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```
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## 2. Application Performance Monitoring (APM)
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### Option A: Django Debug Toolbar (Development)
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Already configured for DEBUG=True environments.
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### Option B: Simple Performance Middleware
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Add custom middleware for production monitoring:
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```python
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# In core/middleware.py
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class PerformanceMonitoringMiddleware:
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def __init__(self, get_response):
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self.get_response = get_response
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def __call__(self, request):
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import time
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start_time = time.time()
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response = self.get_response(request)
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duration = time.time() - start_time
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if duration > 2.0: # Log slow requests
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logger.warning(f"Slow request: {request.path} took {duration:.2f}s")
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response['X-Response-Time'] = f"{duration:.3f}"
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return response
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```
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## 3. CapRover Native Monitoring
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### Enable App Monitoring
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1. **CapRover Dashboard** → **Apps** → **quantumtaskai** → **App Configs**
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2. **Enable**: "Log Rotation"
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3. **Set**: "Max Log Size" to 100MB
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4. **Set**: "Max Files" to 5
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### Resource Limits
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```yaml
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# In captain-definition (advanced)
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{
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"schemaVersion": 2,
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"dockerfilePath": "./Dockerfile.captain",
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"containerHttpPort": 80,
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"resources": {
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"memory": "512m",
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"cpu": "0.5"
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}
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}
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```
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## 4. External Monitoring Options
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### Option A: Netdata (Lightweight)
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1. **One-Click Apps** → Search "Netdata"
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2. **Deploy** with default settings
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3. **Access**: Monitor system resources in real-time
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### Option B: Grafana + Prometheus (Advanced)
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1. **Deploy Prometheus** from One-Click Apps
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2. **Deploy Grafana** from One-Click Apps
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3. **Configure** Django metrics export
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## 5. Health Checks and Uptime Monitoring
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### Application Health Endpoint
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Create a health check endpoint in Django:
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```python
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# In core/views.py
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from django.http import JsonResponse
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from django.core.cache import cache
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from django.db import connection
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def health_check(request):
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"""Application health check endpoint"""
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try:
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# Test database
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with connection.cursor() as cursor:
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cursor.execute("SELECT 1")
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# Test Redis
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cache.set('health_check', 'ok', 10)
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cache_status = cache.get('health_check') == 'ok'
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return JsonResponse({
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'status': 'healthy',
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'database': 'ok',
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'cache': 'ok' if cache_status else 'error',
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'timestamp': timezone.now().isoformat()
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})
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except Exception as e:
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return JsonResponse({
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'status': 'unhealthy',
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'error': str(e)
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}, status=500)
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```
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### External Uptime Monitoring
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- **UptimeRobot** (Free tier available)
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- **Pingdom**
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- **StatusCake**
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Monitor: `https://quantumtaskai.captain.your-domain.com/health/`
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## 6. Log Analysis
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### Centralized Logging (Optional)
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1. **Deploy ELK Stack** (Elasticsearch, Logstash, Kibana)
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2. **Configure** Django to send logs to Logstash
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3. **Analyze** logs in Kibana dashboard
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### Simple Log Analysis
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```bash
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# Monitor application logs
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docker logs -f [container-id]
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# Search for errors
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docker logs [container-id] 2>&1 | grep -i error
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# Monitor performance
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docker logs [container-id] 2>&1 | grep "Slow request"
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```
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## 7. Alerts and Notifications
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### Webhook Notifications
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Set up webhooks for critical alerts:
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- **High memory usage**
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- **Database connection failures**
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- **Application errors**
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- **Long response times**
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### Email Notifications
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Configure Django to send email alerts for critical issues using your existing email setup. |