Kafka topic: Category/stream of messages. Partitions enable parallelism—each partition is an ordered log. Choosing partition count: (1) Throughput—more partitions = more parallel consumers. (2) Consumer count—partitions ≥ consumer instances. (3) Ordering—same key goes to same partition; balance parallelism vs key cardinality. (4) Retention—more partitions = more segments. Rule: Start with expected peak throughput / single partition throughput; typically 6–20 for moderate topics....
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