Monitoring and Analytics for High-Traffic Firewalls

Real-time monitoring becomes critical when handling millions of requests:
# High-performance metrics collection system
import asyncio
import time
from prometheus_client import Counter, Histogram, Gauge
import aiohttp

class FirewallMetricsCollector:
    def __init__(self):
        # Prometheus metrics
        self.request_counter = Counter('firewall_requests_total', 
                                     'Total requests processed',
                                     ['action', 'protocol'])
        self.request_duration = Histogram('firewall_processing_duration_seconds',
                                        'Request processing duration')
        self.active_connections = Gauge('firewall_active_connections',
                                      'Currently active connections')
        self.blocked_ips = Gauge('firewall_blocked_ips_total',
                               'Total IPs in blocklist')
        
    async def collect_metrics(self):
        """Collect metrics from firewall systems"""
        
        while True:
            try:
                # Collect from netfilter
                conntrack_count = await self.get_conntrack_count()
                self.active_connections.set(conntrack_count)
                
                # Collect from ipset
                blocked_count = await self.get_blocked_ip_count()
                self.blocked_ips.set(blocked_count)
                
                # Performance metrics
                with self.request_duration.time():
                    await self.process_sample_request()
                
            except Exception as e:
                print(f"Metrics collection error: {e}")
                
            await asyncio.sleep(10)  # Collect every 10 seconds
    
    async def stream_to_analytics(self):
        """Stream metrics to analytics platform"""
        
        async with aiohttp.ClientSession() as session:
            while True:
                metrics = {
                    'timestamp': time.time(),
                    'connections': self.active_connections._value.get(),
                    'blocked_ips': self.blocked_ips._value.get(),
                    'request_rate': self.calculate_request_rate()
                }
                
                try:
                    async with session.post('https://analytics.example.com/metrics',
                                          json=metrics) as response:
                        if response.status != 200:
                            print(f"Failed to send metrics: {response.status}")
                except Exception as e:
                    print(f"Analytics error: {e}")
                    
                await asyncio.sleep(60)  # Send every minute