AI diagnostics

Understand incidents faster, without guessing.

When something goes wrong, Servbyte drafts a plain-language summary of the incident from your infrastructure signals. It's designed to shorten investigation time — not to replace judgement.

AI-generated insights are assistive. Servbyte drafts a hypothesis from the signals it can see. Always verify with your own logs and dashboards before acting.

What a summary includes

Every AI diagnosis follows the same structure so on-call responders always know where to look.

What happened

A short natural-language description of the observed behavior — e.g., 'API host web-03 experienced a sustained 8-minute CPU saturation.'

When it started

The first metric sample that crossed threshold or diverged from the baseline, with a precise UTC timestamp.

What was affected

The specific hosts, services, and containers whose telemetry moved with the incident.

Likely cause

Correlated signals: memory pressure, disk I/O spike, restart loop, a recent deploy marker, or an unusual traffic pattern.

Suggested next steps

Concrete checks to run — commands, logs to review, dashboards to open. Always assistive, never automated remediation.

Signals in

Telemetry streams in, a summary comes out.

Your fleet
metrics · logs · deploys
outbound HTTPS · telemetry
AI diagnostics
draft · correlate · suggest

What it correlates

Servbyte only reasons about infrastructure signals it already collects — nothing more.

Metric signals

CPU, memory, disk, network, load, and per-service resource usage across the affected hosts.

Log signals

Error-rate and restart signals from systemd units and container runtimes — line counts and severity, not payloads.

Recent deploy markers

Optional deploy events you send via the Servbyte API, correlated to the incident window.

Example diagnosis

A representative draft summary — as rendered inside the Servbyte dashboard.

// Draft — verify before acting

What: Sustained CPU saturation on web-03.

Started: 2026-07-28 14:22:10 UTC (~8m).

Affected: web-03, nginx.service.

Likely cause: Memory pressure preceded CPU spike; a deploy marker arrived 90s prior.

Next steps: Check the deploy diff, review journalctl -u nginx -n 200, and inspect worker restart counts.

Which plans include AI diagnostics

  • Pro — AI diagnoses on active incidents.
  • Team — AI diagnoses, weekly reports, and auto-drafted postmortems.
  • Hobby — not included.
Compare plans →

Data boundary

Servbyte reasons only about infrastructure signals the agent already collects: host and service telemetry, restart counts, error-log line rates, and optional deploy markers you send via the API.

It never reads your application source, request bodies, database rows, or end-user data.

Get AI-assisted incident summaries

Included on Pro and Team. 14-day free trial, no credit card.