PagerDuty

PagerDuty is the leading incident management platform that helps on-call engineering teams detect, triage, and resolve production incidents quickly. Its AIOps capabilities use machine learning to reduce alert noise, correlate related events, and surface actionable insights, enabling faster response times and less alert fatigue. The platform ingests signals from over 700 monitoring and DevOps tools, including Datadog, New Relic, AWS CloudWatch, Prometheus, and Sentry. When alerts arrive, PagerDuty's AI engine correlates related events and suppresses duplicates, reducing the volume of notifications that reach on-call engineers. Instead of receiving dozens of individual alerts about a cascading failure, engineers see a single incident with all correlated context. Intelligent alert grouping learns from historical patterns to improve accuracy over time. The on-call scheduling system supports complex rotation patterns, escalation policies, and schedule overrides. When an incident is triggered, PagerDuty routes it to the right person based on the schedule, escalating through defined chains if the primary responder does not acknowledge within a configurable window. Automated incident response workflows can execute predefined runbooks when specific incident types are detected. For example, a high CPU alert could automatically trigger a diagnostics script, collect relevant logs, and create a Slack channel for the response team before anyone is even paged. Postmortem templates and incident analytics help teams learn from outages and track reliability metrics over time, including mean time to acknowledge (MTTA) and mean time to resolve (MTTR). The status page feature provides customer-facing communication during incidents. PagerDuty is best suited for engineering and SRE teams that operate production services and need reliable incident notification and response coordination. Organizations with complex on-call rotations across multiple teams and time zones benefit the most from its scheduling and escalation capabilities. Smaller teams with simpler monitoring needs may find the platform more than they require. Pricing starts at $21 per user per month for the Professional plan, which includes core incident management features. The Business plan adds AIOps, automated response workflows, and advanced analytics. Enterprise pricing is custom-quoted and includes features like event intelligence, full API access, and dedicated account management.