| Describe the three environments
used in software development and data
science. |
- Dev: where products are
conceived and built
- Test: where products are
rigorously tested against the many
different environments they will
encounter “in the wild”
- Prod: where the live product
exists “in the wild”
|
| Use GitHub Actions (GHA) to deploy
data science assets. |
R users can do this with r-lib 📦 |
| Keep environments in sync using
infrastructure as code (IaC) tooling. |
- Servers are cheap; use frequently
- IaC Tools help you stay away from
drifting
|