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Alerts notify you when something needs attention. Whether it’s a schema change, stale data, or a failed discovery job, alerts ensure the right people know at the right time.
Alert pipeline: Events → Rules → Destinations
Alerts follow a simple pipeline: events are detected during discovery, evaluated against your rules, and routed to destinations like Slack, email, or PagerDuty.

What Triggers Alerts

Event TypeDescription
Schema ChangeColumn added, removed, or type changed
Freshness ViolationData not updated within SLA
Metric AnomalyValue outside expected range
Discovery FailedConnection or permission error
Asset RemovedTable/view no longer exists

Common Questions

What’s the difference between an event, a rule, and a destination?

An event is something detected (schema change, freshness violation, metric anomaly). A rule is your filter on events - which assets, which event types, severity thresholds, schedule conditions. A destination is where the notification lands (Slack, email, PagerDuty, webhook). Events flow through rules to destinations.

Can one event fire multiple alerts to different destinations?

Yes - that’s the normal pattern. A production schema drop might page on-call via PagerDuty and post to the team Slack channel and email the data-platform list. Each is a separate rule with the same event filter but different destinations.

Do I configure alerts per table, or globally?

Either. Rules can apply to all assets (useful for catching discovery failures across everything) or be scoped to specific schemas, tags, or individual assets. Most teams start with a global “schema drop” rule and add tighter per-critical-table rules over time.

Can I suppress alerts during a planned migration or deploy?

Yes. Use blackout windows to pause alerting on specific assets or rules for a defined time window. Events are still recorded; they just don’t notify until the window ends.

Next Steps

Create Alert Rules

Define when and where alerts fire

Connect Destinations

Set up Slack, email, or other channels