There's more things to configure, but that's all you need for now. Then go over to the Applications tab and make sure you select Docker. Seems like you could play that game for a long time before you came anywhere near the cost of high-performance personal computer.Īfter you've picked one (presumably the cheap one like I did), pick which flavor of Linux is your favorite. So you could spin up a powerful droplet, do some pretty interesting datascience for a few hours, and then destroy the droplet, all for only a few bucks. If you really want to do some number crunching, you can get 64GB of RAM and 20 cores for less than a dollar an hour. Something comparable to a laptop will cost you about a dime per hour. ![]() The cheapest option gets you half a GB of RAM and will cost you $.007/hour. At this point, we'll have to choose how much computing power we intend to need. Then we'll need to set up a 'droplet', which is just a fixed set of computing resources that you're essentially renting from DigitalOcean. You'll need to put a few bucks of credit into your account at first, or you can get some free credit if you're a student. Setting up an account is simple, just click along and follow the instructions. ![]() We're going to use these to cloud-host Rstudio.įirst, we'll make an account at DigitalOcean. ![]() Docker is an increasingly popular way of packaging up all the code, libraries, and dependencies that you need for some particular purpose to make things portable across systems. By way of a bit of background, DigitalOcean is cloud hosting service where you can deploy web apps for a less than a cent an hour. ![]() It's a pretty painless process, but nonobvious if you've never used Docker before, so I thought I'd write everything down for my own sake. Here's a how-to for deploying Rstudio using Docker and hosting on DigitalOcean. Cloud hosting Rstudio with Docker and DigitalOcean
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