I've never gotten too deep with K8s. It always came across as incredibly complex to maintain with limited managed service support. Whenever I spoke to enginee

I've never gotten too deep with K8s. It always came across as incredibly complex to maintain with limited managed service support. Whenever I spoke to engineers pushing it, the problems it solved didn't resonate with me as someone whose spent the last 10 years running hundreds of services across thousands of servers. These days I'm a huge fan of CDK and Pipelines style deployments. I prefer to treat my compute layer as a swappable component which I'll change as and when I need to. I tend to lean towards serverless offerings which take care of the internal scaling details if I can while still giving me a traditional "instance", and if I can't then I'll go for the next best managed offering. I've yet to see an example where internal tooling doesn't become a mess over time, and K8S requires a ton of work to keep things sensible.