Description
Blue-green deployment is a powerful technique for achieving zero-downtime updates of AI models in production environments. This strategy involves maintaining two identical production environments, with one serving live traffic (blue) while the other is updated with new model versions (green), enabling instant rollback capabilities and minimizing risk.
For AI systems, blue-green deployment presents unique challenges beyond traditional application deployments. Organizations must consider model loading times, warm-up periods, resource utilization, and the need to maintain consistent predictions during transitions. Here is a framework for implementing robust blue-green deployments specifically tailored for AI model updates.
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