PROJECT MANAGEMENT

Aging-Deadlock Escalation Ladder to PagerDuty

Tracks how long each detected circular dependency has gone unresolved and escalates up a ladder: a Slack nudge to owners first.

CategoryProject Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRecurring schedule fires
  • ActionFetch graph and detect active cycles in LinearLinearLinear
  • ActionRead/write cycle first-seen age in PostgresPostgreSQLPostgres
  • LogicBranch on age tier vs SLA
  • ActionNudge owners in Slack for warning-tier cyclesSlack
  • OutputPage engineering lead via PagerDuty on SLA breachPagerDutyPagerDuty

What it does

Some deadlocks get noticed and still sit untouched. This workflow enforces an escalation ladder: it re-detects active cycles, measures how long each has persisted using a Postgres state store, and raises the urgency as the clock runs out, ending in a PagerDuty incident if the loop blocks past its service-level threshold.

When to use it

Use it when cross-team deadlocks have a real cost and must not be allowed to linger. The tiered response keeps low-grade reminders out of the on-call channel while guaranteeing aged loops reach a person who can act.

How it works

  1. 1A recurring schedule triggers the run.
  2. 2Fetch the dependency graph from Linear and detect active cycles.
  3. 3Read each cycle's first-seen timestamp from Postgres and compute its age, persisting any new cycles.
  4. 4Branch on age tier against the SLA: fresh, warning, or breached.
  5. 5For warning-tier cycles, post a Slack nudge to the owning assignees.
  6. 6For SLA-breached cycles, open a PagerDuty incident routed to the engineering lead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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