Overview

PagerDuty is a cloud-native platform engineered for incident management and digital operations. Its core function is to centralize alerts from various monitoring systems and route them to the appropriate on-call personnel based on predefined schedules and escalation policies. The platform supports developers and technical buyers in maintaining system uptime and operational health by streamlining the process from incident detection to resolution. It is particularly well-suited for organizations with complex distributed systems where rapid response to service disruptions is essential to reduce Mean Time To Resolution (MTTR).

The platform extends beyond basic alerting to include capabilities for automated incident response, enabling teams to execute pre-built playbooks or custom scripts in response to specific incident types. This automation aims to reduce manual toil and accelerate resolution times, particularly for recurring issues. PagerDuty also integrates with a broad ecosystem of monitoring, ticketing, and collaboration tools, allowing it to fit into existing operational workflows. Its AIOps features leverage machine learning to suppress alert noise, correlate related events, and predict potential issues, aiming to provide a clearer signal of critical problems amidst a high volume of operational data.

For organizations prioritizing proactive incident prevention and continuous service improvement, PagerDuty offers tools for post-incident analysis. These tools facilitate root cause analysis and identify areas for system improvement, contributing to a continuous learning cycle. The platform's emphasis on real-time operations management and a developer-centric API supports custom integrations and extensions, allowing teams to build tailored solutions for their specific operational needs. For example, integrating PagerDuty with systems like Opsgenie could allow for a multi-layered approach to incident routing, though more commonly, teams select one primary platform for this function. This approach aligns with the principles of Site Reliability Engineering (SRE) by providing a structured framework for managing service reliability and operational resilience, as discussed in various SRE methodologies like those outlined by Google's practices on embracing risk in SRE. PagerDuty's comprehensive suite of tools helps teams manage the full lifecycle of an incident, from initial alert to post-mortem analysis and preventative measures.

Key features

  • Incident Management: Centralized platform for managing the entire incident lifecycle, including detection, response, communication, and resolution.
  • On-Call Scheduling: Configurable on-call rotations, escalation policies, and overrides to ensure the right person is alerted at the right time.
  • Automated Alerting: Aggregates alerts from various monitoring tools and routes them via multiple channels (SMS, phone, email, push notifications) based on severity and urgency.
  • Incident Response Automation: Pre-built and customizable automation actions (playbooks) to diagnose, remediate, and resolve incidents automatically or semi-automatically.
  • AIOps: Uses machine learning to reduce alert noise, correlate events, identify root causes, and predict potential issues.
  • Event Management: Ingests, processes, and enriches event data from hundreds of monitoring and observability tools.
  • Stakeholder Communication: Tools for automated status updates and communication across internal teams and external customers during incidents.
  • Post-Incident Analysis: Provides incident timelines, reports, and analytics to support post-mortems and identify areas for improvement.
  • Security Operations: Dedicated features for managing security incidents, including automated response and collaboration across security teams.
  • Customer Service Operations: Integrates with customer service platforms to provide agents with real-time operational context.

Pricing

PagerDuty offers several pricing tiers, including a free plan for single users and various paid plans with increasing features and capacities. Pricing is typically per user per month, billed annually. The information below is accurate as of May 2026. For the most current details, refer to the PagerDuty pricing page.

Plan Name Key Features Price (per user/month, billed annually)
Free 1 user, 1 team, basic incident management, mobile alerts, 5 integrations Free
Starter On-call management, 60+ integrations, basic automation, runbook automation $21
Professional Unlimited users/teams, AIOps event intelligence, advanced analytics, custom dashboards $39
Business Modern incident response, service standards, operational health management, security incident response $65
Enterprise Advanced AIOps, business service visibility, enterprise-grade security and compliance Custom pricing

Common integrations

Alternatives

  • Opsgenie: An Atlassian product offering similar on-call scheduling and incident management capabilities, often integrated with Jira Service Management.
  • VictorOps: Now part of Splunk, VictorOps provides incident management, on-call capabilities, and runbook automation with a focus on ChatOps.
  • Splunk On-Call (formerly VictorOps): Offers incident response, on-call scheduling, and collaboration tools, closely integrated with the broader Splunk Observability Cloud.
  • Grafana OnCall: An open-source-friendly alternative providing on-call management, alerting, and incident response, often favored by users already within the Grafana ecosystem.
  • Statuspage: While primarily a communication tool, Statuspage (also by Atlassian) is often used in conjunction with incident management platforms to keep stakeholders informed during outages.

Getting started

To get started with PagerDuty, you can use its API to create an incident. This Python example demonstrates how to create a new incident using the PagerDuty Events API V2. Ensure you have an API Integration Key (often referred to as a Routing Key) for an Events API V2 integration configured in your PagerDuty service.

import requests
import json

# Replace with your PagerDuty Events API V2 Integration Key
# Find this in your PagerDuty service integration settings.
ROUTING_KEY = "YOUR_ROUTING_KEY_HERE"

# Define the incident payload
payload = {
    "routing_key": ROUTING_KEY,
    "event_action": "trigger",
    "payload": {
        "summary": "Web server unresponsive on port 80 - high urgency",
        "source": "monitoring-system-01.example.com",
        "severity": "critical",
        "component": "web-server",
        "group": "frontend-services",
        "class": "network",
        "custom_details": {
            "url": "http://example.com/status",
            "error_code": "503",
            "datacenter": "us-west-2"
        }
    },
    "dedup_key": "monitoring-system-01-web-server-unresponsive"
}

# PagerDuty Events API V2 endpoint
url = "https://events.pagerduty.com/v2/enqueue"

# Make the POST request
try:
    response = requests.post(url, json=payload)
    response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx)

    print(f"Incident created successfully: {response.json()}")
except requests.exceptions.RequestException as e:
    print(f"An error occurred: {e}")
    if response is not None:
        print(f"Response content: {response.text}")

Before running this code, install the requests library (pip install requests). This example triggers a critical incident in PagerDuty, which will then follow the escalation policies defined for the service associated with the provided ROUTING_KEY. You can find detailed API documentation and further examples in the PagerDuty API Reference.