Kafka interview questions with clear answers: core concepts, producers, consumers, replication, KRaft, Kafka 4.0 and production failure scenarios.
How the Strimzi operator runs Apache Kafka on Kubernetes: custom resources, node pools, storage, upgrades, security and failure modes we see in production.
MSK Connect explained: how AWS runs Kafka Connect workers, custom plugins, scaling, pricing dimensions, limits, and when to run Connect on Strimzi instead.
How Kafka replication works: leaders, followers, in-sync replicas, replication factor, min.insync.replicas and acks=all, and the settings that stop data loss.
Kafka vs RabbitMQ: how a distributed log differs from a message broker, where each fits, performance and ordering trade-offs, and when to migrate.
Kafka observability in practice: the broker, client and consumer-lag metrics to watch, open-source and commercial monitoring tools compared, and alert rules.
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