Support engineering runbooks

Let support investigate
recurring customer issues

BitSentry helps support and customer ops teams investigate stuck imports, failed webhooks, queue backlogs, and recurring service incidents without handing out unrestricted production access.

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How access works

Pre-authorized, not open-ended

  1. 01

    Engineer configures credentials

    Stored once as runbook secrets, per environment.

  2. 02

    Engineer writes and reviews the runbook

    The inspection steps are authorized here, at authoring time.

  3. 03

    Support runs those steps

    Support works through the runbook, not a shell.

  4. 04

    Credentials stay hidden

    Steps use the stored secrets; support never sees or copies them.

Reduce engineering escalations

Turn common investigation paths into support engineering runbooks so every failed job or customer-specific production issue does not bounce straight to a senior engineer.

Safer production diagnostics

Give the team a reviewed workflow for service checks, log investigation, and service diagnostics instead of giving everyone open-ended shell access.

Audit every investigation

Keep the command history, output, and AI explanation tied to the customer issue so support, engineering, and compliance all see the same evidence.

Best-fit problems

Support-safe production issue investigation.

This works best when the team sees the same issue shapes over and over: imports stuck, tenant worker failures, API sync problems, webhook retries, and background jobs that need the same diagnosis every time.

  • Customer issue investigation

    Investigate tenant-specific failures with repeatable runbooks instead of one-off Slack escalations.

  • Safe diagnostic access

    Let support run the checks they need without improvising new production commands in the moment.

  • Shared evidence and audit trail

    Attach the investigation history to the issue so the next escalation starts with evidence, not with “can someone look at prod?”

A worked example

From "the import is stuck" to an evidence-backed answer

One real ticket, handled end to end without an escalation.

  1. 01

    Ticket arrives

    "Our import has been stuck for an hour." Support opens the import-stuck-triage runbook from the shared library.

  2. 02

    Runbook inspects, read-only

    Pre-authorized steps check queue depth, the job's status, and recent errors for that tenant. No shell access granted.

  3. 03

    AI explains the output

    The queue is backed up behind a failed job. The AI explains what each check means in plain language.

  4. 04

    Customer gets the answer

    Support replies with the cause and the ETA, evidence attached to the ticket, without escalating to backend.

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