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eBPF for Observability: Seeing Your Cluster Without Sidecars

For years, getting deep visibility meant injecting sidecars, patching binaries, or bolting agents onto everything. eBPF flips that: you attach safe programs to the kernel and watch every syscall, packet, and function without touching the app at all.

Why eBPF changes the game

  • No sidecars, no code changes, instrumentation lives in the kernel

  • Sees everything: L3-L7 traffic, syscalls, file access, DNS

  • Near-zero overhead compared to userspace proxies

  • One source of truth for networking, security, and tracing

Tools like Cilium, Hubble, Pixie, and Parca are all eBPF underneath. Start with Hubble to see service-to-service flows you never had before:

# live map of who is talking to whom, with verdicts
hubble observe --namespace payments --follow

# just the denied flows (great for tightening NetworkPolicy)
hubble observe --verdict DROPPED --last 200

Ad-hoc tracing when you need it

When a service is slow and the dashboards are silent, a one-off bpftrace script beats guesswork. Here, count slow file reads by process:

bpftrace -e '
 tracepoint:syscalls:sys_exit_read /args->ret > 0/ {
 @bytes[comm] = sum(args->ret);
 }
 interval:s:5 { print(@bytes); clear(@bytes); }'

What to actually instrument

  1. Golden signals per service: latency, traffic, errors, saturation

  2. Network policy verdicts, so you can move to default-deny with confidence

  3. Continuous CPU profiling to find the hot path, not guess it

  4. DNS latency and failures, the quiet cause of half your incidents

The best observability is the kind you did not have to ask developers to add.


eBPF turns the kernel into your instrumentation layer. Less agent sprawl, more truth, and a single substrate for observability, security, and networking to share.

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