Anton R Gordon: Why Your Amazon Bedrock Model Works in Dev but Fails in Production
When teams first start working with Amazon Bedrock, the early results are usually encouraging. The model responds correctly, latency feels manageable, and everything appears ready to scale. Then production happens. Suddenly, the same system that worked flawlessly in development starts failing—invocations break, latency spikes, and access errors show up without warning. This pattern is something Anton R Gordon has consistently emphasized in real-world AI system design: what works in development often hasn’t been validated under production constraints. The Illusion of “Working” in Development In most development environments: You operate in a single region. Permissions are broad The load is minimal Compliance constraints are relaxed. This creates a false sense of stability. According to Anton R Gordon , development success is not proof of system reliability—it’s only proof that the system works under ideal conditions . Production introduces complexity: Region-specific model availab...