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Here's a list of resources to help make Shiny apps more efficient: A video on the difference between workbench and background jobs https://docs.posit.co/ide/server-pro/user/rstudio-pro/guide/workbench-jobs.html for using workbench jobs https://docs.posit.co/ide/server-pro/job_launcher/job_launcher.html for configuring Joe Cheng’s talk from rstudio::conf 2019 conference on this topic: Shiny in production: Principles, practices, and tools The profvis package for diagnosing where in the code things are taking a long time: Profvis — Interactive Visualizations for Profiling R Code Then use the shinyloadtest package for optimizing performance settings: Load Test Shiny Applications Reference this section of the “Mastering Shiny” book: Chapter 23 Performance | Mastering Shiny These articles on the Shiny webpage detail other useful techniques like caching and async programming: Shiny - Articles The Shimmer and Shiny simulation is a learning tool that visualizes the impact of different performance parameters when tuning: Shimmer: Shiny sizing simulation scoping: https://shiny.posit.co/r/articles/improve/scoping/
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Here's a list of resources to help make Shiny apps more efficient:
A video on the difference between workbench and background jobs
https://docs.posit.co/ide/server-pro/user/rstudio-pro/guide/workbench-jobs.html for using workbench jobs
https://docs.posit.co/ide/server-pro/job_launcher/job_launcher.html for configuring
Joe Cheng’s talk from rstudio::conf 2019 conference on this topic: Shiny in production: Principles, practices, and tools
The profvis package for diagnosing where in the code things are taking a long time: Profvis — Interactive Visualizations for Profiling R Code
Then use the shinyloadtest package for optimizing performance settings: Load Test Shiny Applications
Reference this section of the “Mastering Shiny” book: Chapter 23 Performance | Mastering Shiny
These articles on the Shiny webpage detail other useful techniques like caching and async programming: Shiny - Articles
The Shimmer and Shiny simulation is a learning tool that visualizes the impact of different performance parameters when tuning: Shimmer: Shiny sizing simulation
scoping: https://shiny.posit.co/r/articles/improve/scoping/
The text was updated successfully, but these errors were encountered: