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• Stream the data out of Kafka and perform Event Sourcing there
  • This would mean creating an in-house solution, which makes Kafka irrelevant in the design, and so its best left as a last-approach in case no solution is found on Kafka-side
• Guarantee insertion order on the producer
  • Not viable as keeping this logic synchronized greatly reduces the event throughput
• Check the version before sending the event to Kafka
  • Similar to the previous point, though it adds extra complexity as race-conditions may arise when attempting to compare
• Caching the record version as a byte array and perform the comparisons between records using a lexicographic byte array comparator
  • This adds greater flexibility on the client side, but allowing a variable byte array size to be used raises concerns about memory usage by the cache