07Compare shadow, canary, and blue-green deployment for ML models, and how you roll back safely.▼medium★ EssentialMicrosoftAmazonDatabricks1 repliesunlockedDeploying a model is more than flipping a switch. The signal is knowing what each rollout strategy validates, why shadow is uniquely useful for ML, and keeping rollback a single step away. Here is the comparison and when each fits.Open full answer →
45Going deeper on canary and blue-green: how do you actually shift traffic and decide to ramp?▼hardNetflixAmazonUber1 replies◆ premiumSaying 'route 5% to the canary' is the easy part. What matters is how you split traffic deterministically, gather enough signal to decide, and ramp on evidence rather than vibes. Here is the mechanics layer.Open full answer →
