eBPF-powered Linux performance diagnostics

Find the cause behind the latency.

rand-fast measures scheduler latency, CPU, disk I/O, off-CPU waits, and memory for a single process, reports TCP as unavailable when it cannot prove ownership, then ranks what it found. A vague slowdown becomes a signal you can investigate.

  • 6 signalsOne eBPF load
  • Rust + AyaeBPF
  • Verified layoutsLinux 6.1 · 6.6 · 6.12 · 7.2
sample diagnosis streaming

$ sudo fast diagnose --pid 1234 --duration 10s

Example output

PID: fast-workload (363)Duration: 4s
scheduler500 us p95
off-cpu1.46 s total
cpu12.5 % of host
Lock contention 100.0%

share of off-CPU time waiting on a futex: 100.0% (threshold 33.0%)

Every ranked line carries the measurement and the threshold behind it.

The problem

Latency is the symptom.
The queue is the clue.

CPU graphs can tell you that a service is busy. They rarely tell you why one request waited longer than the next. Scheduler latency makes that hidden wait measurable.

01

Averages hide the tail

One healthy average can coexist with a handful of slow events that users actually feel.

02

Host-wide data loses the culprit

Start with the process that regressed, then follow its threads and the CPUs they wait for.

03

Kernel signals add context

Wakeups and context switches show the gap between work becoming runnable and actually running.

How it works

From kernel events to a ranked answer.

One eBPF load, every collector on its own stream, one ranking built from what they measured.

01tracepoints

The kernel reports it

sched_wakeup, sched_switch, block_rq_issue, sched_process_exit, and page-fault hooks. TCP tracepoints are intentionally not attached. Startup validates the scheduler and block-request BTF layouts against fixtures captured from the pinned 6.1, 6.6, 6.12 and 7.2 kernels; unknown layouts are rejected rather than misreported. No application instrumentation.

02one load

Every stream runs at once

One reader thread per stream per CPU, keyed to the target's threads. Block-I/O completions pair by live request identity, while sched_process_exit clears pending wait state before a TID can be reused. TCP tracepoints are not attached: neither the softirq current task nor a remembered pointer proves socket ownership, so TCP is reported as unavailable rather than guessed at.

03ranked

A cause, with the evidence

Each cause scores against a documented threshold and the ranking shows the measurement and the threshold together, so it can be argued with.

Checked, not claimed

Every number below came out of
a verification run.

These are cross-checks against a second source or against a fixture built to break one thing. Where a measurement could not be taken, it is reported as unavailable rather than as zero.

TCP attribution

off

no guessed RTT or loss rate; unavailable is explicit

Page faults

100.00%

eBPF counters against /proc, at 1.0M faults per second

Diagnosis scenarios

9/9

declared QEMU scenarios, each with fixture-reported evidence

Kernel cells

5cells

pinned CI cells: 6.1, 6.6, 6.12, 7.2 and a PSI-off negative

What it measures

Six signals, one process, one answer.

Start with the process you care about. Keep the output small enough to act on.

01Process-first

Measure the workload that hurts

Focus on one PID and its threads instead of drowning in host-wide averages. Threads are re-synced during collection, exit cleanup prevents stale wait state from crossing a reused TID, and --progress reports the collection window on stderr.

02Every signal at once

One load, every collector

Scheduler, CPU, block I/O, off-CPU, and memory are observed together from a single eBPF load, with the streams in parallel. TCP is reported as unavailable rather than guessed at, and startup rejects any layout outside the pinned 6.1-7.2 kernel matrix.

03Ranked with evidence

A cause, not a dashboard

Every ranked line carries the measurement behind it and the threshold it crossed, so the ranking can be argued with.

04Built for later

Record, then keep the evidence

A flight recorder watches scheduler, I/O, and pressure thresholds, measures each interval on its own, and writes a bounded bundle you can read at 3am. By default it runs until interrupted or its target exits; --duration sets a bound.

Quick start

Point it at one process.

fast diagnose collects every signal from one eBPF load and ranks the causes. For a single-signal run, use --pid with a bounded --duration; pass --format json to feed another tool, and --progress for a stderr timeline. The flight recorder runs until interrupted or its target exits by default.

Read the source on GitHub
shell
$ sudo fast diagnose --pid 1234 --duration 10s

The first measurement is the fastest way in.

Find the wait.
Fix the signal.