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Concept guides/AI in the system/Keeping a model working after launch

System designAI in the system

Keeping a model working after launch

Medium8 min read

Questions it teaches

Shipping rates fail after a vendor retires an API versionEasy15 min Suggested replies for a help deskEasy25 min Spam filter accuracy drop alertMedium14 min Inverted circuit breaker fallback logicMedium25 min Kafka cert rotation consumer lagMedium30 min Ad ranking inference latencyMedium40 min Model calibration decays without retrainingMedium30 min Prolonged degradation after Redis failoverHard35 min

Related

AI in the system ML systems Search and feeds Agent design

Builds on: ML systems

Real-time leaderboards3 min Training data pipelines: freshness, labels and leakage9 min

Builds on: Search and feeds

Polling a feed for new items4 min Social feed (fan-out design)4 min

Builds on: Agent design

Tools, permissions, and blast radius4 min Where the agent sits in the workflow4 min

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