Hi Francesco,
No, that architecture is not possible. I'm not sure if you've used Flink's
DataStream API but embedded functions under the hood are very much like
lightweight process functions. If you have a single DataStream application
with two process functions you cannot scale their workers inde
Hi Igal, thanks for your help.
If I understood correctly, the flink deployments (not the functions) needs
to use the same image right? Which means that the flink master and all
workers still needs to use the same image which includes the module.yaml and
the jar with embedded modules of the full pro
Hi Francesco,
It is absolutely possible to deploy some functions as embedded and some as
remote, and scale them independently, while technically being part of the
same
stateful function application instance (I think that what you meant by
"sharing the same master").
One possible way to do it in k
