Shadow deployments have become increasingly popular among organizations as they strive to minimize downtime and ensure smooth transitions during application updates.
My goal is in this post is to help illustrate how easy and powerful it is to utilize Lambda@Edge to enable shadow deployments in a production setting for any kind of HTTP based web service.
I will soon publish a “part two” that focuses on how Amazon SageMaker’s native shadow testing capabilities also support this deployment methodology to compare new or tuned ML models vs.
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