[KAFKA] Consumers and Consumer Groups
Read OriginalThis article details how Kafka consumers and consumer groups work to scale data consumption from topics. It describes how a single consumer can fall behind if message production outpaces processing, and how adding multiple consumers to a consumer group allows splitting partitions among them. The article covers partition assignment, scaling limits (no benefit beyond partition count), and the design goal of enabling multiple applications to read from the same topic. It emphasizes creating topics with many partitions for future scaling.
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