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In this talk, shared our experience from a real-life case study of building an app used daily by 700 users where our data science team tackled all these problems. This, to our knowledge, was one of the biggest production deployments of a Shiny App.
We showed an innovative approach to building a beautiful and flexible Shiny UI using shiny.semantic package (an alternative to standard Bootstrap). Furthermore, we talked about the non-standard optimization tricks we implemented to gain performance. Then we discussed challenges regarding complex reactivity and offer solutions. We went through implementation and deployment process of the app using a load balancer. Finally, we presented the application and give details on how this benefited our client.
If you need any support on R Shiny apps please contact us at https://appsilon.com