Operations | Monitoring | ITSM | DevOps | Cloud

AI promise and AI capabilities often diverge, with developers often reporting much faster code production, but not enough change in how incidents are handled. When the rate of change is faster than ever, but the rate of recovery from incidents isn’t moving, developers wind up stuck in firefighting mode. And, when these systems fail, it’s costly. According to PagerDuty’s State of AI-First Operations, over a third of surveyed companies report losing $500K per hour of downtime.

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s Shift-Based Schedules (planned GA in May) builds towards this vision. PagerDuty has long been the gold standard for on-call management, helping thousands of teams build the foundations of digital reliability.

Alert fatigue doesn’t announce itself. It builds quietly over weeks and months until one day a critical incident triggers and nobody responds with the urgency it deserves. By that point, the damage is already done. This guide walks through what alert fatigue actually is, how it happens, and what you can do about it.