Building high performance Shiny apps

iain · April 7, 2018, 12:37pm

Hi,

Inspired by Sean's talk at RStudio on scaling Shiny, https://www.rstudio.com/resources/videos/scaling-shiny/ I was hoping people could share their tips and tricks for building high performance shiny apps

Two tips that I know of are:

Use profvis to profile the r code https://www.rstudio.com/resources/webinars/profvis-profiling-tools-for-faster-r-code/
Use CDN to speed up delivery of static assets https://forum.posit.co/t/plans-for-a-shiny-book/1080/12?u=iain

I am wondering what the fastest shiny app one could build that would simply display a table containing data pulled from a database based on a parameter passed in the URL (similar to this page https://www.targetvalidation.org/target/ENSG00000197635)

Thanks

Iain

iain · April 9, 2018, 2:26pm

Two additional tips

Logging with futile.logger so that you can track when app started/ended etc https://github.com/zatonovo/futile.logger.
Memoise to cache long running calculations/api calls https://github.com/r-lib/memoise