Alert Grouping

A single underlying problem can easily fan out into dozens of separate alerts — one per host, one per check, one per downstream dependency — and responders end up triaging the flood instead of the actual issue.

Alert Grouping consolidates related alerts into a single incident on a service, cutting notification noise and giving responders one place to see everything relevant to what's actually happening. PagerDuty offers several grouping methods depending on how predictable an account's alert data is: Intelligent Alert Grouping uses machine learning to group alerts based on textual similarity and past grouping behavior; Content-Based Alert Grouping groups alerts that share an exact match on chosen fields; Unified Alert Grouping combines both for extra precision; and Time-Based Alert Grouping simply groups everything that arrives within a set time window.

By default, Alert Grouping scopes to a single technical service. Global Alert Grouping expands that scope, letting a group span multiple services — useful when one underlying problem is known to ripple across several services at once.

Alert Grouping is included with the PagerDuty AIOps add-on (and, for some grouping methods, with Legacy Event Intelligence). Customers have reported noise reduction as high as 98% after tuning their grouping settings.

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