Imagine your production application suddenly becomes slow. CPU usage looks normal, memory appears healthy, and your application logs show no obvious errors. Yet customers report timeouts, API requests take longer than usual, and your monitoring dashboard offers little explanation.

This situation is familiar to many DevOps engineers and Site Reliability Engineers (SREs). Traditional monitoring tools provide useful metrics, logs, and traces, but they can leave gaps between application behavior and the underlying operating system. Sometimes, the problem sits inside a network connection, a system call, a scheduling delay, or a kernel-level event that ordinary dashboards never capture.

This is where eBPF enters the picture.

Extended Berkeley Packet Filter (eBPF) is a Linux kernel technology that allows programs to execute at specific, supported kernel or application instrumentation points.…