Deduplication, Suppression, and Service Routing

Apply simple noise reduction techniques including suppression, deduplication, and service routing to drastically reduce system noise and increase productivity and focus.

Intelligent, Content-Based, and Time-Based Alert Grouping

Data science techniques allow users to leverage powerful alert grouping to minimize redundant noise — and even eliminate incidents entirely.

Pause Incident Notifications & Auto-Pause Incident Notifications

Manage transient noise from flapping alerts. Choose from the option to manually pause notifications or opt to leverage machine learning to detect and pause transient alerts that historically auto-resolve themselves.

Probable Origin

Jumpstart triage efforts with an auto-generated list of likely origin points using historical data of correlated incident patterns to surface where (and where not) to look first for faster resolution.

Past and Related Incidents

Get full context on recent or related incidents to understand what’s been tried or who can be consulted to guide next steps for the incident at hand.

Outlier Incident

Identify anomalies, rare occurrences or frequent incidents that might self-heal.

Event Orchestration

Cut down on manual work by connecting real-time event processing with automation to take the next best action. Leverage a powerful decision engine that uses custom logic and rules nesting to enrich and control routing or trigger webhook actions based on event conditions at scale. Terraform support available.

Automated Diagnostics and Auto-remediation

Replace slow and ad-hoc work with native PagerDuty Automation Actions, connecting automated diagnostics and remediation to the incident response workflow.

Change Events, Change Correlation, and Custom Change Event Transformer

Capture change events via first-party integrations or turn any change event from across your digital ecosystem into a PagerDuty change event. Know “what changed, when” with change correlation.