This is exactly the kind of deep dive platform engineers need when trying to optimize cluster resource allocation. Choosing between Java and C# isn't just about language syntax anymore; it’s about baseline footprint, idle memory usage, and CPU throttling. Thanks for highlighting the concrete tuning levers we can actually implement in our Dockerfiles and K8s manifests to lower our cloud spend.