R Shiny at IQSS
  • Introduction
  • Getting started
    • Determining your resource requirements
    • Applying for an account
  • Deploying
    • Setup your environment
    • Deploying an example Shiny app
    • Bootstrapping a new Shiny app or migrating a pre-existing Shiny application
    • Developing locally with RStudio
    • Developing locally using Docker
    • Speeding up deployments with Packrat
  • Configuration
    • Setting up a custom domain for your Shiny app
    • Installing additional system-level packages
    • Limiting the number of R Threads
  • Best Practices
    • File storage
    • Using promises
    • Adding routes
  • Troubleshooting
    • Resolving Application Error screen
    • Viewing app logs
    • Viewing resource consumption
    • Configuring Shiny session auto-reconnect
    • Getting support
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  1. Troubleshooting

Viewing resource consumption

PreviousViewing app logsNextConfiguring Shiny session auto-reconnect

Last updated 5 years ago

You can view how much memory and cpu your application is using on Heroku. In addition, Heroku will provide you details on your application's latency over time, helping you optimize for any number of concurrent web users.

Open the Heroku dashboard, view your application, and click All Metrics.

As you can see, the example application which runs 2 R Threads is using close to 100% of it's memory allocation.

Your app's metrics: memory, latency, and more.