⚡ One HLD concept. 60 seconds. Interview ready· 1 of 13
Kafka's static membership allows consumers to maintain stable identities, reducing unnecessary rebalances.
⚡ One HLD concept. 60 seconds. Interview ready· 2 of 13
Kafka's commitSync waits for confirmation, while commitAsync continues immediately.
⚡ One HLD concept. 60 seconds. Interview ready· 3 of 13
Kafka's parallel processing depends on partitions, not just consumers or threads.
⚡ One HLD concept. 60 seconds. Interview ready· 4 of 13
Kafka consumers can use multiple threads to speed up message processing, but it complicates ordering and offset management.
⚡ One HLD concept. 60 seconds. Interview ready· 5 of 13
Kafka uses partitions to allow parallel processing while ensuring message order with keys.
⚡ One HLD concept. 60 seconds. Interview ready· 6 of 13
Kafka consumers can pause and resume message processing to handle backpressure effectively.
⚡ One HLD concept. 60 seconds. Interview ready· 7 of 13
Kafka consumer reprocessing involves safely replaying events to correct system states.
⚡ One HLD concept. 60 seconds. Interview ready· 8 of 13
Kafka's pause temporarily stops reading messages, while seek changes the reading position.
⚡ One HLD concept. 60 seconds. Interview ready· 9 of 13
Kafka's `seek()` lets you replay only specific messages, saving time.
⚡ One HLD concept. 60 seconds. Interview ready· 10 of 13
Kafka's assign() method allows manual control of partition assignments for consumers.
⚡ One HLD concept. 60 seconds. Interview ready· 11 of 13
Kafka rebalance can lead to lost or duplicated work if not handled carefully.
⚡ One HLD concept. 60 seconds. Interview ready· 12 of 13
Kafka consumers resume processing from the last committed offset after a crash.
⚡ One HLD concept. 60 seconds. Interview ready· 13 of 13
Kafka consumers have three important states: Position, Committed Offset, and Application State.
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