Showing posts with label Docker. Show all posts
Showing posts with label Docker. Show all posts
Running RStudio via Docker in the Cloud
Deploying applications via Docker container is the current talk of town. I have heard about Docker and played around with it a little, but when Dirk Eddelbuettel posted his R and Docker talk last Friday I got really excited and had to have a go myself.
My aim was to rent some resources in the cloud, pull an RStudio Server container and run RStudio in a browser. It was actually surprisingly simple to get started.
I chose Digital Ocean as my cloud provider. They have many Linux systems to choose from and also a pre-built Docker system.
After about a minute I had kicked off the Docker droplet I could log into the system in a browser window and start pulling the Docker file, e.g. Dirk's container.
Once the downloads finished I could start the RStudio Server using the
All of this was done within minutes in a browser window. I didn't even use a terminal window. So, that's how you run R on an iPad. Considering that the cost for the server was $0.015 per hour, I wonder why I should buy my own server, or indeed buy a new computer.
My aim was to rent some resources in the cloud, pull an RStudio Server container and run RStudio in a browser. It was actually surprisingly simple to get started.
I chose Digital Ocean as my cloud provider. They have many Linux systems to choose from and also a pre-built Docker system.
After about a minute I had kicked off the Docker droplet I could log into the system in a browser window and start pulling the Docker file, e.g. Dirk's container.
Once the downloads finished I could start the RStudio Server using the
docker run command and log into a RStudio session. To my surprise even my googleVis package worked out of the box. The plot command opened just another browser window to display the chart; here the output of the WorldBank demo.
All of this was done within minutes in a browser window. I didn't even use a terminal window. So, that's how you run R on an iPad. Considering that the cost for the server was $0.015 per hour, I wonder why I should buy my own server, or indeed buy a new computer.
