Reduce alert fatigue and cut down on system noise. PagerDuty filters out up to 98% of noise by using a mix of data science techniques and machine learning to intelligently group alerts and remove interruptions.
Surface relevant incidents and recent changes to provide situational awareness when troubleshooting root cause. PagerDuty even suggests likely origin points to help responders know where to focus first.
Remove manual work and toil by processing events in real-time using custom logic and nested rules. PagerDuty rules to determine the next best action, so developers don't get interrupted from more important work.
“Event Intelligence has been critical to us, especially the alert grouping capabilities. On average, we’ve had 58% noise reduction, with some services seeing about 86% noise reduction.”
Danny Nicholls, Application Support Analyst, IG Group
Data science techniques and machine learning power a variety of noise reduction features, including suppression, deduplication, correlation, grouping, and thresholding. Minimize interruptions, reduce incidents, and keep teams focused on the work that matters.
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.
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.
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.
Identify anomalies, rare occurrences or frequent incidents that might self-heal.
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.
Replace slow and ad-hoc work with native PagerDuty Automation Actions, connecting automated diagnostics and remediation to the incident response workflow.
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” and whether it could be related to an incident with contextual information and ML-based correlation on recent changes.