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dushyantkhosla/ds-deploy-walkthru-iris
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Get Data
- If data exists on Local, copy it to the server with scp
- If data sits on the cloud, download it inside the server
- Optional: Copy SSH keys
scp -rp ~/.ssh user@remote-server:/tmp/.ssh- Also run
ssh-add ~/.ssh/id_rsaafter adding the.sshfolder to/root
- Also run
Get Infra
- SSH into the Server
- Pull a Docker Container
docker pull <image>docker imagesGet Code
- Get the code for your project if it exists, or use a cookiecutter
- git clonehttps://github.com/dushyantkhosla/ds-cookiecutter.git
git clone git-urlStart Docker
- Start a Docker Container using the appropriate image, map ports and mirror directories
docker run -it -v $pwd:/home \ -p 8080:8080 \ -p 5000:5000 \ -p 3128:3128 \ your-docker-imagePS:If Docker commands do not work, run
systemctl start dockeras root and try againConfigure Git
git config --global http.proxy http://proxy-url:portgit config --global user.email 'you@domain.com'git config --global user.name 'FirstName LastName'./DOCKERFILE Jenkinsfile README.md environment.yml./data: interim processed raw./figures:./models:./notebooks: 01-Obtain.ipynb 02-Scrub.ipynb 03-Explore.ipynb 04-Model.ipynb 05-iNterpret.ipynb./references:./reports:./src: __init__.py obtain scrub explore model interpret testsAbout
Simple walkthrough of Dockerized Data Science Dev + Deploy pipeline using Iris data
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