What We’re Building Today
Today you’ll transform your log processing system into a comprehensive APM solution by integrating performance metrics with log data. You’ll build a correlation engine that automatically links slow database queries in your logs with CPU spikes, memory pressure, and network latency metrics.
Key Deliverables:
Performance metrics collector integrated with existing log streams
Real-time correlation engine linking logs to system metrics
Interactive dashboard showing unified logs + performance data
Alert system triggering on combined log patterns and metric thresholds
The Hidden Connection: Why APM + Logs Matter
When Netflix engineers investigate a streaming outage, they don’t just read error logs. They correlate those logs with CDN response times, database query latencies, and memory usage patterns. A single “connection timeout” log entry becomes meaningful when you see it happened during a 95th percentile latency spike.
Traditional monitoring treats logs and metrics as separate data streams. APM integration creates a unified view where every log entry carries performance context, and every metric spike shows related application behavior through logs.
