Kafkas kärnkoncept inkluderar topics (kategorier av händelser), partitions (parallelliseringsenheter inom topics), brokers (servrarna), producers (skrivare) och consumers (läsare). Att förstå dessa är grundläggande för att arbeta med Kafka.
Kärnkoncept
TOPIC → a named category/stream of events (like a "channel" — e.g. "orders", "clicks")
→ producers write to topics; consumers read from them
PARTITION → a topic is split into PARTITIONS (ordered, append-only logs):
→ the unit of PARALLELISM and scaling; events distributed across partitions
→ order is guaranteed WITHIN a partition (not across partitions)
BROKER → a Kafka SERVER (stores data, serves clients); a CLUSTER = multiple brokers
PRODUCER → writes (publishes) events to topics
CONSUMER → reads (subscribes to) events from topics
