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PagerDuty, Inc.

PagerDuty

Event intelligence and AIOps platform that uses ML-based alert grouping, change correlation, and probable-origin analysis to cut noise by up to 90%. Gen-AI agents (Insights, SRE, Shift, Scribe) automate triage, root-cause investigation, on-call handoffs, and incident documentation across the full respond lifecycle.

Last reviewedMay 15, 2026
How we review

Overview

PagerDuty is an incident management platform. Inbound events from monitoring tools are ingested through the Events API and processed by AIOps, which groups related events using ML, correlates timing against deployment and infrastructure change records, and produces a smaller set of actionable incidents rather than forwarding raw alerts.

Probable origin analysis runs within grouped incidents to identify the most likely root cause signal by comparing the event timeline against known change records, service dependencies, and historical patterns. Four Gen-AI agents — Insights, SRE, Shift, and Scribe — draft customer-facing status updates, investigate root cause, handle on-call shift handoffs, and generate post-incident documentation.

On-call scheduling, escalation policies, and rotation management route the right engineer for each service. Automation Actions and Runbooks execute remediation scripts or external API calls directly from an incident. Status Pages and business service views communicate incident status to non-technical stakeholders. AIOps is available on Operations Pro and Enterprise tiers.

Key Features

  • AIOps event grouping: ML clusters inbound alerts from monitoring tools, correlates timing with deployment and infrastructure change events, and collapses alert storms into single incidents — up to 90% noise reduction
  • Probable origin analysis: identifies the most likely root cause signal within a grouped incident by comparing the event timeline against known change records, service dependencies, and historical incident patterns
  • Gen-AI incident agents — Insights, SRE, Shift, and Scribe: draft customer-facing status updates, investigate root cause, handle on-call handoffs, and write post-incident documentation from the incident timeline
  • On-call scheduling and escalation policies: rotation schedules, override management, escalation chains, and schedule-based routing to ensure the right engineer is paged for each service and time zone
  • Automation Actions and Runbooks: trigger remediation scripts, restart services, or call external APIs directly from an incident without switching context — runbooks attach to alerts and execute on acknowledgement
  • Stakeholder communication layer: Status Pages, business service health views, and subscriber notifications keep non-technical stakeholders informed without giving them access to the incident war room

Integrations

9 total
scm
GitHubGitLab
orchestration
Kubernetes
monitoring
Datadog
messaging
Slack
ci / cd
Terraform
cloud
AWSGCPAzure

Pricing

6 tiers
Free
Free

Free tier: Up to 5 users; basic alerting, on-call scheduling, escalation policies; no AIOps features

Not yet verified

AIOps Add-on
—

$699/month flat; Intelligent Alert Grouping, auto-pause transient events, Operations Console

Not yet verified

Business
$41/seat/yr

Per seat/month billed annually; advanced analytics, service health dashboards

Not yet verified

PagerDuty Advance Add-on
—

$415/month flat; Gen-AI agents: Insights, SRE, Shift, Scribe

Not yet verified

Professional
$21/seat/yr

Per seat/month billed annually

Not yet verified

Enterprise
Contact sales

Custom pricing; advanced permissions, live call routing, private status pages

Not yet verified

Compare with similar tools

3 comparisons

Compliance

3 / 6 attested
SOC 2
HIPAA
GDPR
FedRAMP
PCI DSS
ISO 27001

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