Building Resilient AI Pipelines for Production

AI pipelines fail in ways traditional software doesn't: silently, partially, and at the worst possible time. This book covers the engineering practices that keep production AI running, including graceful degradation, retries, monitoring, and recovery patterns proven in real deployments. For engineers and technical operators responsible for AI systems people depend on.

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