Event Analytics

The Event Analytics Dashboard allows you to view historical accepted events in order to identify past trends in volume. This information can help pinpoint times of peak load, or troubleshoot greater-than-expected volumes.

For consumption-based billing accounts, this is the “billable accepted events” under your pricing plan. This data can help you anticipate yearly event volumes and monitor your event consumption relative to your yearly budget.

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Availability

Available on Professional, Business, and Enterprise plans, as well as Operations Cloud accounts.

Accepted Events

Accepted events are any valid events that are sent to and processed by PagerDuty via email integration or API with a successful 2XX response. The number of events should correlate with the number of 2XX responses you receive from the Events API.

This means that all events we accept are counted, including:

  • Events sent to Events API v1, Events API v2, x-ere, etc.
  • API events sent to a service key or a Global Orchestration
  • Email events
  • Trigger, resolve, acknowledge event actions
  • Deduplicated or suppressed events
  • Events sent to a service in maintenance mode
  • Events sent to a disabled service
  • Redundant resolves where a service continues to send resolves on the same incident
  • Events that are later dropped due to rules or customer event transformations

Events that are not counted include:

  • Events rejected at the API due to a rate limiting, throttling or an error
  • Events sent to deleted routing keys (integrations or orchestrations) — these do receive a 2XX response for security reasons
  • Change events
  • REST API calls
  • Incidents created through the REST API, including manually created incidents in the web app or mobile app

The Events Dashboard provides a comprehensive view of your event journey. It expands beyond simple volume reporting to help Admins and Account Owners understand exactly what happens to events as they flow through PagerDuty—from the moment they are received to their final outcome.

View the Events Dashboard

  1. Navigate to Analytics Insights Events.
  2. Select the date picker to choose a date range, then click Apply.
  3. Select the icon to access the following filters:
  • Team
  • Routing key
  • Integration
  • Service
  1. When finished, click Apply filters.

Dashboard Components

The dashboard is laid out in three zones:

  • Total Events: Shows Total Events and AIOps Events for the selected range. Each metric includes a period-over-period delta (up/down arrow + absolute change).
  • Events & Incidents Chart: A stacked bar chart showing daily volume across three series: Incidents, AIOps Events, and Non-AIOps Events.
  • Event Breakdown Charts: Two stacked bar charts showing volume by Outcome and Sub-outcome over time.

Total Events

Shows total events for the selected range, alongside an AIOps Events sub-total. Each metric is paired with a period-over-period delta indicator (up/down arrow + absolute change vs. the prior comparable range, e.g., "compared to Mar 1 – Mar 31, 2026").

Events & Incident Chart

A stacked bar chart showing daily volume across three series: Incidents, AIOps Events, and Non-AIOps Events.

Events Breakdown Charts

Two stacked bar charts showing volume by Outcome and Sub-outcome over time.

Events by Outcome (What happened)

Outcomes represent the final state of an event in the PagerDuty workflow. These include:

  • Triggered: The event resulted in a new triggered incident.
  • Triggered Deduped: The event was deduplicated onto an existing open incident.
  • Suppressed: The event was silenced by an event rule or service setting.
  • Suspended: The event was held pending further evaluation (e.g., Auto-Pause).
  • Suspended Deduped: Suspended event that matched an existing suspended event.
  • Acknowledged: Event was acknowledged on arrival.
  • Resolved: The event resolved an existing incident.
  • Dropped: The event was permanently discarded by an orchestration rule.
Events by Outcome

Events by Outcome

Events by Sub-outcome (Why it happened)

Sub-outcomes provide granular diagnostic signals. Sub-outcomes include:

  • Alert
  • Alert and Incident
  • Incident
  • Email Filters
  • Event Orchestration
  • Recent Event found
  • Unable to assign Incident
  • Incident not found
  • Disabled Service
  • Other

Identifying sub-outcomes like "Incident not found" or "Disabled Service" can help you quickly find and fix misconfigurations.

Events by Sub-outcome

Events by Sub-outcome

Events Breakdown Table

The Events Breakdown table identifies the specific integrations and services driving event volume. It supports search, sorting (Total Events sorts descending by default), pagination, and CSV export.

Events breakdown table

Events breakdown table

Table Columns

  • Routing Key: The unique identifier for the integration.
  • Type: e.g., Orchestration, Service, etc.
  • Integration Link: Clickable link to navigate directly to the integration settings.
  • Event Sources
  • Team
  • Status: Active, etc.
  • Total Events: The gross volume of events received.
  • AIOps Events: Number of events processed by AIOps.

Typical Workflows

  • Check the headline: Review Total Events and the period-over-period delta to confirm whether volume is trending up or down.
  • Spot the spike: Use the Events & Incidents chart to identify days with abnormal volume.
  • Diagnose what happened to the events: Use the Events by Outcome chart to see whether the volume turned into incidents, was suppressed, or was dropped.
  • Diagnose why: Use the Events by Sub-outcome chart to see which sub-outcome (e.g., Event Orchestration, Disabled Service) is driving the pattern.
  • Find the source: Use the Events Breakdown table — sorted by Total Events descending — to identify the specific routing keys, integrations, and services contributing the most volume.
  • Drill in: Click the Integration Link in the table to navigate directly to the integration. From there, the customer can tune the monitor, update the event rule, or re-enable a misconfigured service.
  • Export for further analysis: Use Export CSV to pull the table into a spreadsheet or BI tool.