PagerDuty
Incident management platform for on-call, alerting, and response.
PagerDuty is profiled here as a Observability tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Short Intro: PagerDuty is a publicly traded incident management platform (NYSE: PD) founded in 2009 by three Amazon engineers who went through Y Combinator's Summer 2009 batch and built the on-call and alerting infrastructure they wished had existed at AWS. Headquartered in San Francisco with $467M in 2025 revenue and 1,242 employees, the platform covers the full incident lifecycle from detection through resolution and post-incident review. In Fall 2025, PagerDuty shipped an AI agent suite including Scribe, Shift, and Insights agents alongside an MCP server that connects incident data to external AI coding agents.
Key Capabilities:
On-call scheduling with rotation management, escalation policies, and holiday overrides
750+ native integrations across monitoring, ITSM, and chat platforms
Event Intelligence ML engine for alert noise reduction and signal grouping
AI agents for incident documentation, on-call scheduling, and operational insights
MCP server for connecting PagerDuty incident data to AI coding agents
Event-driven automation and runbook execution via Rundeck integration
Automated canary analysis and incident triage workflows
Slack and Microsoft Teams integration for coordinated incident response
Post-incident review timelines and organizational analytics
Public and private status pages for stakeholder communication
Customer service operations support alongside engineering incident workflows
Free, Professional, Business, and Enterprise pricing tiers
REST API, CLI, and Terraform provider for programmatic management
Alternative tools
- HoneyHive
Evaluation and observability platform for AI agents
- Sentry
Error tracking and performance monitoring for developers
- SigNoz
Open-source, OpenTelemetry-native observability platform
- Datadog
Unified observability for metrics, traces, and logs
- Arize AX
Enterprise platform for AI observability and evaluation
- OpenTelemetry
Vendor-neutral standard for traces, metrics, and logs
