Topic Partition
Order exists inside a partition and nowhere else. Choosing the key decides what stays ordered; choosing the count decides how many consumers can work.
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Kafka Log, Replication, and Consumption
Order lives inside a partition, durability comes from in-sync replicas, and consumers hold their own place in the log. The rest is still your problem.
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Kafka Log Compaction
Distinguish retained keyed state from full history, account for tombstone expiry, and avoid treating compaction as instant table replacement.
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Idempotent Kafka Producer
Understand how producer identity and sequences suppress protocol retries, and why a resubmitted business event still needs its own identity.
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In-Sync Replicas and Acknowledgements
Read Kafka acknowledgment settings together with the in-sync replica set and minimum ISR, and distinguish acceptance from external completion.
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Committed Offset and Consumer Lag
Separate fetched position from durable progress, commit only completed prefixes, and interpret lag with retention and processing state.
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Consumer Group and Rebalance
Share Kafka partitions among group members, resume from committed progress, and handle unfinished work when ownership changes.
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Kafka Topic and Partition
Understand Kafka’s ordering and parallelism boundary, distinguish partition offsets, and plan key placement before changing partition counts.
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Kafka Fundamentals
Understand Kafka ordering, delivery guarantees, replay, commit boundaries, retention gaps, and hot partitions.