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Use cases

Alert on queue depth and consumer lag

Queues, jobs, and async work|The work pauses once the plan is written. Somebody reads the approach and approves it before any code exists, and the run continues from there.

A queue nobody is watching, given alerts on depth and lag that are back-tested against a real backlog.

The ticket

Add alerting on queue depth and consumer lag.

Acceptance criteria

  • Both depth and lag are alerted separately
  • The rules fire when replayed against a real backlog window
  • They stay quiet across a normal window
  • They route to the rotation that owns the consumer

What lands as proof

Replays against a backlog window and a normal one, showing the rules distinguish between them.

Why teams defer it

  • Queues absorb problems quietly, which is their job and also why nobody notices they are drowning.
  • Choosing thresholds needs a normal baseline, and nobody has measured one.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: add alerting on queue depth and consumer lag. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means alert fires against a replayed backlog, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops once the plan is written. Somebody reads the approach and approves it before any code exists, which is the cheapest moment to redirect the work.

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