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K8s is amazing piece of tech, but still there is a big cost and complexity inherent in adopting & managing it.

I enjoy using it and playing with it, but so many use cases can be addressed with something simpler - either just Docker / Swarm / AWS ECS etc. alternatives or just going for VMs with well defined CI/CD processes that let you tear down the infrastructure and set it up again easily.

What very interests me are the concepts K8s build on that are not usually recognized - to me K8s seems a lot like a JVM, just that it operates on infrastructural (and not runtime) level.

I enjoy experimenting with these concepts when applied back in the runtime world - it is for instance interesting to run 100s of servers with JVM and let them load/execute new dependencies and code at runtime (JVM is very well suited for that).

This is area that is not yet explored and would probably deserve more attention as it allows for distributed rapid computing that is infrastructure/platform independent (the downside is that it requires (just) JVM and the isolation is not perfect).



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