What kprobe Solves

kprobe is designed for incidents where application-level observability stops one layer too early.

Logs, metrics, and traces are still necessary. kprobe does not replace them. It adds the missing operating-system context that explains why an otherwise normal application path became slow or failed.

The gap

Most production debugging follows this pattern:

Alert fires
  -> dashboard shows latency
  -> trace shows slow dependency
  -> logs show timeout
  -> engineer guesses why the dependency was slow

kprobe is built for the missing step:

slow dependency
  -> syscall delay
  -> scheduler delay, TCP retransmit, page fault, or block I/O stall

Problems kprobe is good at

Request timeouts

kprobe identifies whether a timeout was caused by network retransmits, blocked writes, scheduler delay, memory pressure, or storage latency.

Database and ledger latency

kprobe connects database writes, WAL flushes, fsync-like behavior, and block I/O stalls to the request or transaction that experienced them.

Network mystery delays

kprobe records TCP-level behavior that application traces often hide, including retransmits and kernel-side send/receive timing.

Noisy-neighbor incidents

kprobe can show when a colocated process, batch job, compaction task, or sidecar consumed CPU, memory, or disk resources at the exact time a foreground request slowed down.

Timing-sensitive bugs

kprobe gives engineers an incident timeline that can be replayed, slowed down, and tested with alternate timing assumptions.

What kprobe does not solve

kprobe is not the primary system for:

business analytics
long-term metric dashboards
log search
synthetic testing
generic APM trace collection
security event detection by itself

Use those tools with kprobe. The product works best when traces and logs provide application context and kprobe provides kernel causality.

The one-sentence value

kprobe shows the kernel-level cause behind production incidents that look unexplained from logs, metrics, and traces alone.