PagerDuty is incident management software that sits between your monitoring tools and your on-call engineers. It takes the thousands of alerts your monitoring systems generate and tries to figure out which ones actually matter. The goal is simple: stop waking people up for stupid shit, get the right person looking at real problems faster.
How PagerDuty sits between your 47 monitoring tools and the poor bastard getting paged
The dashboard shows which shit is broken and who's supposed to be fixing it. Groups related alerts so you don't get 47 pages for the same database meltdown.
The Alert Fatigue Problem It Solves
Anyone who's been on-call knows the pain: you get paged at 2:47am because disk usage hit 85% on a server that's been at 84% for three months. Meanwhile, the database is actually throwing connection errors but that alert got lost in the noise. You spend 20 minutes checking a non-issue while customers can't log in.
PagerDuty's main job is correlation - when 47 different monitoring tools start screaming about the same outage, it groups them together and sends one page instead of 47. The AI part mostly works, though it occasionally decides your coffee machine going offline is related to your payment processor being down.
What You Actually Get
Smart Alert Routing: Instead of blasting everyone, PagerDuty follows escalation policies. Page the database guy for database errors, not the frontend team. If database guy doesn't respond in 10 minutes, page the manager. If manager doesn't respond, page everyone and update your resume.
Integration Hell Made Bearable: PagerDuty connects to over 700 tools, which sounds impressive until you realize you'll spend two weeks configuring webhooks and API keys. But once it's working, alerts from Datadog, New Relic, AWS CloudWatch, and your janky homegrown monitoring all flow through one system.
Incident Timeline: Every alert, acknowledgment, and action gets logged with timestamps. Useful for post-mortems when you're trying to figure out why it took 4 hours to notice the load balancer was returning 503s to half your traffic.
Runbook Automation: You can configure automated responses - restart this service, scale this auto-scaling group, run this diagnostic script. Works great until the automation breaks and now you're debugging both the original problem and why your fix-it script is making things worse.
Here's how it actually works: Alert fires → PagerDuty groups similar alerts → Pages someone → Creates Slack chaos → Hopefully runs diagnostics → Escalates when nobody responds → Auto-generates post-mortem that nobody will read.
Real-World Usage Patterns
Teams that get value from PagerDuty usually have:
- More than 10 engineers (smaller teams just use Slack)
- Multiple monitoring tools generating alerts
- Formal on-call rotations
- Services that actually make money (downtime costs real dollars)
We've seen teams go from 3-hour "who's looking at this?" incidents to 20-minute fixes. Not because PagerDuty magically solves problems, but because it eliminates the 2 hours and 40 minutes of "wait, who's on-call?" and "is this alert related to that other alert?" confusion.
One customer told us their average incident went from affecting 50,000 users for 4 hours to affecting 5,000 users for 30 minutes. Same types of failures, but faster detection and clearer escalation paths meant smaller blast radius.
Real War Story: Had a customer whose payment processor shit the bed during Black Friday - like 2:30am when everyone was drunk shopping. Normally would've taken them hours to figure out who was on-call, but PagerDuty got the right people awake in minutes. Still lost some transactions during the chaos, but way less than usual. They said it probably saved them millions, but who knows - companies always exaggerate those numbers.
The Gotchas Nobody Mentions
Configuration Complexity: Getting PagerDuty configured properly takes months, not days. You'll think you're done after the first week, then discover your escalation policies have a logical flaw that becomes apparent during the next major outage.
Alert Tuning Never Ends: The AI helps, but you'll spend significant time tuning which alerts actually deserve pages versus which ones can wait until business hours. Get it wrong and you're either back to alert fatigue or missing critical issues.
Mobile App Dependencies: When your site is down, you're depending on PagerDuty's mobile app working, your carrier having signal, and push notifications being delivered. War story: Spent 3 hours debugging why our on-call engineer wasn't responding - turns out his phone was in airplane mode and the backup person's iPhone had some iOS notification bug that was silently dropping push notifications.
Mobile app interface: Home screen shows active incidents, on-call status, and quick actions. Notification sounds are loud enough to wake you from deep sleep (by design). Push notifications work 95% of the time - the other 5% is usually when you need them most.
The mobile app's home screen displays active incidents with one-tap acknowledge and resolve buttons. Push notifications are intentionally loud and persistent - they need to wake you up at 3am. The interface shows incident severity, affected services, and allows quick escalation or reassignment.
Integration Brittleness: Those 700 integrations break when third-party tools change their APIs. You'll discover your monitoring integration stopped working three weeks ago right when you need it most.
The platform serves 30,000+ companies including big names like Netflix and Spotify, but remember - these companies also have dedicated reliability teams and sophisticated monitoring setups. Your mileage will vary based on how much effort you put into configuration and maintenance.