Hi,
I have a use case where we need to run multiple instances of Ganesha on Kubernetes. To
better understand our performance envelope and boundaries to plan the deployment better, I
need to understand the lowest amount of memory Ganesha requires in theory to operate
sufficiently without being reaped by the oom killer. Setting the limit extremely low, like
in the hundred of megabytes, almost instantly kills Ganesha when applying pressure.
I'd appreciate any pointers or configuration options to consider.
Regards
Michael