Incident response automation that routes alerts to the right engineer before they hit Slack. Reduces MTTR by making on-call schedules and escalation policies actually work.
PagerDuty is the incident management layer between your monitoring stack and your engineers. It solves a specific, painful problem: your Datadog, New Relic, Prometheus, and CloudWatch alerts are firing constantly, but the right person doesn't know about it until it's too late. The core workflow is simple. Monitoring tools send alerts to PagerDuty. PagerDuty deduplicates, groups, and routes them based on escalation policies you define (on-call engineer → manager → VP, with time zone logic built in). The on-call engineer gets a notification on their phone, in Slack, or via SMS. They acknowledge it or it escalates. The incident gets a timeline. You measure MTTR and MTTA. You run a blameless post-incident review. You improve. Who uses this: SRE teams at scale (50+ engineers), ops teams managing multi-region infrastructure, and any shop where a 2 AM page needs to reach the right person in under 60 seconds. If you have one monitoring tool and five engineers, you don't need PagerDuty. If you have five monitoring tools and fifty engineers across three time zones, you do. The operator scenarios that justify the cost: 1. Alert fatigue is killing your on-call rotation. You're getting 200 alerts a day, 180 are noise. PagerDuty's intelligent grouping and correlation rules let you suppress duplicates and low-priority alerts before they become incidents. You define the rules; it enforces them. 2. Your on-call schedule is a spreadsheet. Someone is always on call, but nobody knows who. PagerDuty automates rotating shifts, handles overrides ("I'm out Thursday"), and validates coverage so you don't have gaps. Slack integration means the schedule lives where your team already is. 3. You need to prove reliability improved. PagerDuty tracks MTTR (mean time to resolution), MTTA (mean time to acknowledge), and incident frequency. You run a post-incident review in PagerDuty, document the root cause, and link it to the incident. You see patterns. You fix them. 4. Your monitoring tools don't talk to each other. Datadog fires an alert. New Relic fires the same alert. Your engineer gets paged twice. PagerDuty consolidates them into one incident with one timeline. Pricing is per-user, per-month. Exact rates change — check the vendor — but expect to pay more for higher tiers (more integrations, more advanced automation, longer data retention). Free tier exists for small teams. Most mid-market SaaS companies run on the Standard or Professional tier. Honest limits: PagerDuty is not a monitoring tool. It doesn't collect metrics. It doesn't alert on thresholds. It sits downstream of your monitoring stack and makes the alerts useful. If your monitoring is broken, PagerDuty can't fix it. Also, escalation policies are powerful but require upfront thinking — if you don't define them clearly, you'll page the wrong person. And mobile notifications are reliable, but they're not guaranteed; a flaky network can delay a page by seconds. Alternatives: Opsgenie (Atlassian), Squadcast, BigPanda, Splunk On-Call. All do similar routing and escalation. PagerDuty has the largest ecosystem of integrations and the most mature post-incident review workflow. Opsgenie is cheaper if you're already in the Atlassian ecosystem. Squadcast is lighter weight and cheaper for smaller teams. The real question: Is your on-call rotation a bottleneck to reliability? If yes, PagerDuty pays for itself in reduced MTTR and fewer missed pages. If no, it's overhead.
Incident response automation that routes alerts to the right engineer before they hit Slack. Reduces MTTR by making on-call schedules and escalation policies actually work.
Route critical alerts to on-call engineers based on custom escalation policies and time zones, ensuring the right person gets paged at the right time; Consolidate alerts from multiple monitoring tools (Datadog, New Relic, Prometheus, CloudWatch) into a single incident timeline to eliminate duplicate pages; Automate on-call scheduling with rotating shifts, overrides, and coverage validation so you never have an unplanned gap; Suppress low-priority and duplicate alerts using intelligent grouping and correlation rules to reduce alert fatigue.
PagerDuty uses a freemium pricing model, starting around See vendor site, with a free plan available. Pricing changes often — confirm current tiers on the vendor site.
Yes, PagerDuty lists an API, so you can integrate it into custom workflows.
Requires upfront work to define escalation policies and alert rules; poorly configured policies will page the wrong person; Not a monitoring tool — it depends on upstream monitoring stack to send quality alerts; garbage in, garbage out; Mobile notifications are not guaranteed; network latency can delay pages by seconds in rare cases; Pricing scales with team size; large organizations with hundreds of on-call engineers see significant monthly costs.
Popular PagerDuty alternatives include opsgenie, victorops, oncall, ilert. See the full alternatives page for side-by-side comparisons.