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I wanted to start a repo that had the ability to use any language in concert with any other language. Sort of a language agnostic where it doesnt matter what language you use. I got this idea from using R and Python as both are very good languages. Some parts of a program I want to use R and others I want to use Python while I mostly use R for my modelling purposes, Python is much better when it comes to cleaning data. I wanted to have a sort of best of both worlds, hence this project.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
- Docker Installed
- Access to Kubernetes cluster
- Some sort of pipeline (i.e. Terraform, Jenkins, etc.)
- Enthusiasm
- Clone the repo
- Put the repo path into your pipeline and make sure your build and deploy shell scripts are able to be called.
- Make sure the images that are referenced are the right ones along with where the containers are being mounted. This will allow you to use any language as well as anything else that you want to run sequentially in containers.s
This is mainly a POC of what you are capable of doing with kubernetes for data scientists. I want to have a good template for projects and my other repo works well for projects that just use R. I wanted a more complete approach that had the CI/CD built into it as well.
Distributed under the MIT License. See LICENSE for more information.
Ryan Bieber - @ryan_aka_ryceps - ryan.bieber@protonmail.com
Project Link: https://github.com/ryanbieber/model-deployment-kubernetes