![]() ![]() ![]() It runs on many Unix-like systems, and can configure both Unix-like systems as well as Microsoft Windows. I’m going to guide you through the process assuming you have no prior experience with this tool and just some basic Linux terminal skills.Īnsible is an open-source software provisioning, configuration management, and application-deployment tool enabling infrastructure as code. The installation and configuration process of an R-based data science server on AWS can be automated using a tool called Ansible, those in DevOps must be familiar with the power of Ansible but even if you’ve never heard of it, don’t worry, you don’t need to know Ansible in order to take advantage of its automation capabilities, I’m not an Ansible expert myself and I’ve been capable of accomplishing this project with just basic knowledge of the tool, so if I can do it, so can you. In case you haven’t read the aforementioned post, I’m going to tell you what this is about. ✏️ Have in mind that this is a beginner-oriented project, it is not meant as a production tool, so if you are already familiar with Ansible you might want to simply download some roles from Ansible Galaxy and integrate them into your workflow instead of following this article. Create an AWS Account and Security CredentialsĪfter writing a very similar post about installing Shiny and RStudio server on a Raspberry Pi using automation with Ansible, I realized that the same approach can be easily ported to work with cloud computing services as well, so, basically, this is going to be the Amazon Web Services (AWS from now on) version of that post. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |