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MLServer's Kafka integration currently works only with the PLAINTEXT protocol. For secure deployments, the ability to connect to Kafka over SSL/TLS is required.
Is it possible to extend the Kafka settings to accept SSL configuration fields ? It seems that they could be passed in the settings.json file and/or the environment variables prefixed with MLSERVER_. These settings could be passed via the Settings pydantic model to the MServer class to be consumed by the aiokafka API when instantiating the consumer and producer with SSL context.