[brightball]

I actually find that K8s in a CI environment is a better use case than in production environments.

In production, you're going to have clearly defined deployment rules, traffic patterns, scalability approaches where the code for each service probably belongs on it's own VM rather than sharing cluster resources.

In non-production environment, you can feel much more free to overload what's deployed on a node because it's not seeing production traffic. You could have a single k8s instance with 30 different environments (each with their own web, worker, databases, redis, etc) for 30 different branches that represent the issues moving through the pipeline from 5 developers. In prod, ever piece of that would be better represented by it's own VM.