Best Practices for R with Docker
How following a few basic suggestions for writing Dockerfiles can hugely improve the developer experience and the quality of the final Docker images.
8 min read
Peter Solymos
Ecologist, technologist, co-founder of Analythium
123 posts
Latest posts
Shiny Server
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File Transfer Based Publishing for Shiny Apps
The open-source Shiny Server is an easy way to self-host Shiny apps on a low-cost virtual machine. Set up the server yourself or use an existing image and deploy apps in seconds.
6 min read
Shiny Server
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Securing Shiny Server with Caddy
Caddy server makes it super easy to obtain TLS certificates for your custom domain and to serve Shiny apps securely over HTTPS on top of the open-source Shiny Server.
5 min read
Shiny
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Dockerized Shiny Apps with Dependencies
The wealth of contributed R packages can supercharge Shiny app development. This also means that you have to manage these dependencies. Learn about dependency management when working with R and Docker.
6 min read
Shinyapps
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Push-button Publishing for Shiny Apps
Deploying Shiny apps can be as easy as clicking a button. Deploy to the cloud using Shinyapps.io or to your own servers running RStudio Connect with a click of a button.
4 min read
General
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How to Make the Most of This Website?
Search, tags, archive, weekly digest, PWA, dark mode, image gallery - it's all yours!
2 min read
Docker
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Dockerizing Shiny Applications
Docker provides isolation to applications. Images are immutable. Running multiple instances of the same image can serve many users at the same time. All these general advantages of containerized applications apply to Shiny apps too.
6 min read
What is a Data App?
Data apps are modern web applications that simplify data-intensive operations and provide value to users by answering very specific questions.
2 min read
Docker
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Docker Basics for Data Apps
Docker is the most popular virtualization environment to deliver software in containers. In this post we review the basics of working with Docker to lay the foundation for "dockerizing" data applications.
3 min read
Shiny
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Run Shiny Apps Locally
The simplest way to run a Shiny app is to run it locally. You only need the shiny R package installed, and you can run the app in your browser.
5 min read