Simple DevOps for Data Scientists, Business Process Automation with NoCode and Low Code Tools

Hi, I am Chris and I build Business Process solutions with NoCode and actual code.

My main motivation is to free up brain capacity and time to work to be able to focus on problems that matter.

My method is to deploy extensible systems to automate data collection, transformation and analysis to facilitate decision making for executives and business owners.

I use well maintained Open Source Software to avoid vendor lockin, to minimize custom code, and allow for scale. All tooling that I built is portable can run locally on your laptop/desktop, in your local network, as well as in the cloud on single servers. If needed the same code can be deployed to scalable cloud architecture.

I'm also a big proponent of being able to self-host solutions based on Open Source Software. While Cloud Providers like Amazon Web Services, Google Cloud Platform, Heroku or Microsoft Azure are providing an insane amount of services, they also come with a strong lock in effect. For the more privacy conscious there are alternatives now thanks to a lot of battle tested open source solutions:

My core technology stack consists of Python, Docker, Ubuntu LTS, NGINX and Relational Databases (SQLite, PostgreSQL).

Current Focus

DevOps for Data Scientists: how to build and share your AI/ML Models with the world

API Development

I built my own APIs with FastAPI. They are fast, come with interactive documentation out of the box, and adhere to OpenAPI standards for fast implementation.

Workflow automation with

Deployment of on your local machine (PC, Mac, Linux), local network (Raspberry PI), or VPS in the cloud.

Blending "real code" with NoCode tools and hosted Application Development Platforms

The main and common benefit of these platforms is that they handle authentication and authorization for us. Depending on the use case and ressources, we can leverage a NoCode platform to rapidly built out prototypes or go for a more custom approach. We extend the limitations of these platforms but integrating our own APIs to trigger, pull, update information.

Why is Website still so empty?

The layout is the work of a weekend project (see Twitter thread). It's part of the #buildinginpublic and #learninginpublic movement. It's built on the Django Web Framework which I haven't had the opportunity yet to learn.