Scaling and Performance Tuning with Shiny Server Pro and RStudio Connect

Last Updated: 25 Aug 2017

If you have already read the Scaling and Performance Tuning with shinyapps.io, you should be familiar with some of the tips and tricks for tuning your Shiny app. However if your app is deployed on Shiny Server Pro or RStudio Connect, the following support documents will be more directly relevant to you:


If you have questions about this article or would like to discuss ideas presented here, please post on RStudio Community. Our developers monitor these forums and answer questions periodically. See help for more help with all things Shiny.


Start
Build
Improve
Your first Shiny app
The basic parts of a Shiny app
How to build a Shiny app
How to launch a Shiny app
Help
How to get help
The Shiny cheat sheet
Structure
Standalone apps
App formats and launching apps
Two-file Shiny apps
Interactive documents
Introduction to R Markdown
Introduction to interactive documents
R Markdown integration in the RStudio IDE
The R Markdown cheat sheet
Setting Output args via Render functions
Generating downloadable reports
Dashboards
Dashboards
Gadgets
Shiny Gadgets
Designing Gadget UI
Backend
Reactivity
Reactivity - An overview
Stop reactions with isolate()
Execution scheduling
How to understand reactivity in R
Learn about your user with session$clientData
Data
Database basics - dplyr and DBI
SQL injection prevention
Using the pool package (basics)
Using the pool package (advanced)
Using dplyr and pool to query a database
Persistent data storage in Shiny apps
Frontend
User interface
Application layout guide
Display modes
Tabsets
Customize your UI with HTML
Build your entire UI with HTML
Build a dynamic UI that reacts to user input
HTML Templates
Shiny HTML Tags Glossary
Progress indicators
Modal dialogs
Notifications
Themes
Render images in a Shiny app
Displaying and customizing static tables
How to use DataTables in a Shiny App
Using Action Buttons
Using sliders
Help users download data from your app
Help users upload files to your app
Using selectize input
Graphics & visualization
Interactive plots
Selecting rows of data
Interactive plots - advanced
Shiny extensions
htmlwidgets
JavaScript actions packaged for Shiny apps
How to build a JavaScript based widget
How to add functionality to JavaScript widgets
How to send messages from the browser to the server and back using Shiny
How to develop an interactive, dynamic help system for your app with introJS
How to create custom input bindings
Putting everything together to create an interactive dashboard
Customizing Shiny
Using custom CSS in your app
Build custom input objects
Build custom output objects
Add Google Analytics to a Shiny app
Packaging JavaScript code for Shiny
Communicating with Shiny via JavaScript
JavaScript Events in Shiny
Refactor
Code quality
Debugging Shiny applications
Upgrading to a new version of R
Handling missing inputs with req(...)
Scoping rules for Shiny apps
Reconnecting to Shiny apps
Sanitizing error messages
Write error messages for your UI with validate
Unicode characters in Shiny apps
Testing
Shiny testing overview
shinytest
Server function testing with Shiny
Modules
Modularizing Shiny app code
Communication between modules
Scale
Measure usage
Shiny App Usage Tracking
Add Google Analytics to a Shiny app
Performance and scalability
Using caching in Shiny to maximize performance
Plot Caching
Profiling your Shiny app
Performance
Improving scalability with async programming
Tuning
Scaling and Performance Tuning with shinyapps.io
Scaling and Performance Tuning with Shiny Server Pro and RStudio Connect