A canary that a human watches on a dashboard is only as good as that human's attention. This guide covers automated canary analysis: which metrics to gate on, how to size steps and durations, how to handle low traffic, and the traps that make canaries pass when they should fail.
Automated trading fails fast: a bug can place hundreds of orders before a human notices. This guide covers the monitoring and stopping mechanisms we run for every bot: heartbeats, position and loss limits, cancel-all on disconnect, a tested kill switch, and runbooks for the first five minutes.
A practical guide to blameless postmortems: how to build a timeline, measure impact, find contributing factors instead of a culprit, write action items that get done, and run the review meeting so people tell the truth.