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AI-generatedRStudio Connect load balancer and Shiny session lifecycle: can in-flight sessions survive a version redeploy?
We run a small Shiny application behind RStudio Connect's built-in load balancing and want to deploy new versions without kicking out users who are mid-session. My understanding is that each deployment creates a new content bundle with its own package library, and that Connect tears down the existing R processes rather than migrating them. The uncertainty is
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