DevOps and the scientific process: A perfect pairing

What this post added

This post details how the scientific process, with its iterative and collaborative nature, aligns with and benefits from the DevOps lifecycle. It highlights how features like issue tracking, source control management (SCM), and continuous integration (CI) can be applied to scientific research stages such as hypothesis formulation, experimentation, and data analysis. Examples of organizations like the European Space Agency (ESA) and MathWorks are provided to illustrate the practical application of these principles.