Dev Ops · n8n

Monitor Error Rates During Feature Flag Rollouts

Ship safely — when you increase a feature flag's rollout, watch error rates for that cohort and alert if they spike so you can roll back fast.

difficulty Advancedsetup 40 minresult Risky rollouts are caught early by monitoring the exposed cohort's errors, enabling quick rollback.—
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  1. 1

    Trigger on Rollout Changes

    Add a Webhook node fired when a flag's rollout percentage increases.

  2. 2

    Sample Error Rates

    Add Schedule Trigger and HTTP Request nodes checking the exposed cohort's error rate over the next period.

  3. 3

    Compare to Baseline

    Add a Code node comparing the cohort's errors to the control group.

  4. 4

    Alert on Spikes

    Add an IF and Slack node warning the team if errors rise significantly so they can roll back.

  5. 5

    Activate and Test

    Activate the workflow and simulate a rollout. Confirm monitoring and alerting work.

Frequently asked questions

Can it auto-roll back?

For severe spikes you can trigger a flag revert, but confirm with an on-call engineer for anything ambiguous.

How long should I monitor?

Watch for a meaningful window after each increase — long enough to catch delayed or load-dependent errors.

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