Orchestrating Content Workflows at Netflix Scale
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Describes a reworked workflow orchestration framework Netflix built to combine rule-based automation, machine learning models, and human reviewers into a single pipeline. Covers concrete operational challenges: routing decisions across heterogeneous components, isolating failures to prevent cascade effects, and closing feedback loops for continual improvement. Explains architectural choices that enable reliable, scalable content decisioning today and ease future AI agent integration.
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