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You are managing a system that processes messages from IoT devices worldwide. Currently, a single on-premises Kafka cluster in the us-east region handles all messages, but managing sporadic spikes in message volume has become challenging and costly. What Google Cloud architecture would you recommend for this scenario?
A
Virtualize a Kafka cluster on Compute Engine in us-east and use Cloud Load Balancing to connect with IoT devices globally
B
Use Edge TPUs as sensor devices for storing and transmitting messages
C
Connect an IoT gateway to Cloud Pub/Sub and use Cloud Dataflow to process the messages
D
Connect Cloud Dataflow to the Kafka cluster to scale message processing