Introduction to Containerizing R Applications with Docker

content/guides/r/_index.md

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---
title: R language-specific guide
linkTitle: R
description: Containerize R apps using Docker
keywords: Docker, getting started, R, language
summary: |
  This guide details how to containerize R applications using Docker.
toc_min: 1
toc_max: 2
aliases:
  - /languages/r/
  - /guides/languages/r/
languages: [r]
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  time: 10 minutes
---

The R language-specific guide teaches you how to containerize a R application using Docker. In this guide, you’ll learn how to:

- Containerize and run a R application
- Set up a local environment to develop a R application using containers
- Configure a CI/CD pipeline for a containerized R application using GitHub Actions
- Deploy your containerized R application locally to Kubernetes to test and debug your deployment

Start by containerizing an existing R application.

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Title: Introduction to Containerizing R Applications with Docker

Summary

This guide explains how to use Docker to containerize R applications. It covers containerizing and running an R application, setting up a local development environment with containers, configuring a CI/CD pipeline using GitHub Actions, and deploying the containerized application to Kubernetes for local testing and debugging. The first step is containerizing an existing R application.