The Kafka Partition Count Recommender [Multithreading] app analyzes historical topic consumption, identifies peak throughput over # of days, scales it for future demand, and translates it into optimal partition counts—delivering automated, data-driven topic sizing that ensures performance and scalability.
multithreading python3 kafka-consumer throughput confluent-metrics data-driven-automation kafka-adminclient
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Updated
Oct 7, 2025 - Python