R shiny server cost11/1/2023 ![]() The language itself is just slow – it was designed for data analysts with convenience in mind.R is a single-threaded programming language.Scaling R Shiny applications is hard, and there are two main reasons why: Want to track how users use your R Shiny App? Consider these 3 options for monitoring user adoption. ![]() Continue reading to learn a few alternatives to scaling Shiny apps. ![]() Regardless, the main aspect you should focus on is how you serve the application. There are many ways to optimize a Shiny app like using promises for non-blocking access, profvis for finding bottlenecks, and shiny modules for well-structured code, etc. It should be reliable and work fast for many concurrent users. From that point, this app becomes a tool used in production by many people. When a data science team creates a Shiny app, sometimes it becomes very popular. Shiny is a great tool for fast prototyping, but what about scaling? There are many alternatives to scaling Shiny apps.
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