CUSTOMER SUPPORT

Heads-up in Intercom when a customer hits sustained latency

Detects sustained high latency for a specific tenant in Honeycomb and proactively messages that customer in Intercom with a transparent degraded-performance notice and expected…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHoneycomb: per-tenant latency SLO breachedHoneycomb
  • ActionRead offending query group + tenant IDHoneycomb
  • LogicConfirm sustained breach + check plan tierPostgreSQLPostgres
  • ActionResolve tenant primary contact in PostgresPostgreSQLPostgres
  • OutputSend Intercom degraded-performance noticeIntercomIntercom
  • ActionFlag account in Slack reliability channelSlack

What it does

Watches Honeycomb for sustained p95 latency or error-rate degradation scoped to a single tenant, then sends that customer a transparent Intercom heads-up — turning a quietly-slow experience into a proactive we see it and we're on it message instead of a frustrated bug report.

When to use it

Use it for performance degradation that affects one account at a time (a heavy data set, a hot query, a noisy-neighbor effect) where the customer feels slowness but has no error to screenshot. Good for high-tier accounts you want to over-communicate with.

How it works

  1. 1A Honeycomb trigger fires when a per-tenant latency SLO threshold is breached for a sustained interval.
  2. 2The flow reads the offending query group and tenant ID from the Honeycomb event.
  3. 3A logic step confirms the breach is sustained, not a momentary blip, and checks plan tier in Postgres to decide whether to notify.
  4. 4Postgres resolves the tenant's primary contact.
  5. 5Intercom sends a transparent degraded-performance notice with an expected timeline.
  6. 6A Slack alert flags the account to the reliability channel for tracking.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect IntercomConversations, contacts, articles.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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