HTTPS for the custom domain with no nominal cost.Switch from time usage-based pricing to traffic-based pricing (harder to exhaust for me).All apps are accessible under a single, personalized domain.Explore new web frameworks such as Dash for R and Fiery.Install and use any “non-standard” dependencies.In my opinion, the main technical reasons to create a self-hosting server may include: To host this app, I decided to set up my own server. One example is my recent app cwl-upgrader, where the dependency could not be easily installed and discovered by the correct version of Python (if any) on shinyapps.io. Sometimes, I feel I still need extra flexibility and control over the system environments, especially when we can now use the incredible reticulate to call Python modules directly.
However, to host and share these apps, a server is. It wasn’t always rainbows and butterflies, though. Creating R Shiny apps has been useful in class demonstration, project assignments, and customized tests. Target Use Cases R Server is designed for enterprises to integrate R analytics into their line of business (LOB) apps which could be already existing and could be written in various programming languages. Defaults to fast SSD storage (faster, zero IO costs, only 1. R Server and Shiny are simply designed to serve different use cases. 30GB EBS storage compact, but enables storage of more sizeable datasets. I have created an AMI specifically targeted at R and RStudio Server with the goal of making it a 1 minute job to get going for. As a fully managed solution, shinyapps.io has provided a handy and flexible enough hosting venue for 95% of the apps I built. Shiny at /shiny/rstudio: CUDA: 10.1 : Jupyter at (removed) Ubuntu: 18. I have built many shiny apps over the years - a few of them are public and open source.
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