Apr 20 · 3 min read · Everyone's Debugging, Nobody's Leading Five engineers in an incident channel. All debugging independently. Nobody coordinating. Three people checking the same dashboard. Two trying conflicting fixes. Customers waiting. This is what incidents look lik...
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Apr 20 · 3 min read · What you'll learn: How to identify the root causes of AI agent failures before they impact users A structured incident response framework specifically designed for autonomous agents How to implement monitoring strategies that catch anomalies in real...
Join discussionApr 19 · 4 min read · MTTR Is a Lagging Indicator Everyone tracks Mean Time to Resolve. Few understand what actually drives it. MTTR isn't one metric — it's four: MTTR = MTTD + MTTA + MTTI + MTTF MTTD: Mean Time to Detect (monitoring fired) MTTA: Mean Time to Acknowl...
Join discussionApr 18 · 3 min read · Every Vendor Claims AI Magic Open any monitoring vendor's website and you'll see: "AI-powered incident detection!" "ML-driven root cause analysis!" "Intelligent alerting!" After evaluating a dozen AI ops tools and running three in production, here's ...
Join discussionApr 15 · 3 min read · The Post-Mortem Nobody Learns From I've sat through hundreds of post-mortems. Most follow the same pattern: something breaks, someone writes a Google Doc, we have a meeting, we list action items, nobody follows up, the same thing happens again in 3 m...
Join discussionApr 13 · 3 min read · The First 5 Minutes Matter Most I've been paged over 200 times in my career. The pattern is always the same: the first 5 minutes determine whether you resolve in 15 minutes or 3 hours. Here's what I've learned. The 3am Brain Problem At 3am, your cogn...
Join discussionMar 21 · 6 min read · A release broke payments for 10 minutes. So I added a meeting. Release retrospective. Every deployment gets a review. Sounds like leadership. Here's what actually fixed the problem. I got into the logs with the developer who shipped the feature. It w...
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