My friend and tech lead at QSC told me that he was considering switching from Docker to Podman on his Windows host. I had never used Podman before, but I was interested in trying it out with dev containers in Visual Studio Code and seeing if it was maybe something we could use going forward.
While doing some preliminary research, I came across blog posts, GitHub issues, and Stack Overflow questions that made it seem like there would be a lot of troubleshooting and configuration with getting everything set up on Windows.
A common technique used in software development is the use of feature toggles, or feature flags. These tools help us to accomplish continuous integration, delivery, and release on demand. They’re valuable in mitigating the risks associated with introducing changes, allowing us to continuously integrate and deploy with confidence.
What about in the world of data engineering? In this realm, too, feature flags can be quite handy! We can utilize them in our data pipelines to make changes to data ingestion, loading, and transformation processes fearlessly.