Hi Constantinos,
I think your analysis is correct, if you have a multi-tenant scenario, but
there is no distinction in Kafka. Then Flink can't treat different tenants
differently. It is easy to form a data hotspot problem for the difference
in the data volume of different tenants.
A compromise is
We have a multi-tenancy scenario where:
- the source will be Kafka, and a Kafka partition could contain data
from multiple tenants
- our sink will send data to a different DB instance, depending on the
tenant
Is there a way to prevent slowness in one tenant from slowing other
tenants
