Monday.com's engineering team tackled alert fatigue and noisy on-call schedules by treating production alerts as data. They built a PagerDuty integration to log every alert into a monday.com board, enriched raw data with context (true/false positive, root cause, duplicates), reviewed trends quarterly in engineering reviews, and converted findings into prioritized backlog items. Over a year, this framework cut false-positive alerts by 2x and improved system resiliency across a 20-engineer group.
Table of contents
Step 1: Make Every Alert Count (Even the Bad Ones)Step 2: Look at the Data TogetherStep 3: Turn Alerts into Backlog ItemsThe PayoffYour Alerts are Data — Treat Them That WaySort: