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Apache Kafka review
Varuns Ug
Senior Software Developer at NIT
Event-driven workflows have improved payment processing and reduced latency across...
One area for improvement in Apache Kafka is operational complexity. Running and maintaining an Apache Kafka cluster at scale involves handling partitions, replications, retention policies, rebalancing, and monitoring, which requires strong expertise. Debugging and observability can be complex in large systems, as troubleshooting issues such...
Apache Kafka review
AnilKumar40
Senior Principal Architect at a computer software company with 501-1,000 employees
Asynchronous processing has boosted throughput and supports dynamic transaction...
High throughput is something we aimed for, and that is the reason why we introduced Apache Kafka. Earlier, we had sequential API calls which were not scaling based on the data. Once we introduced this asynchronous architecture using Apache Kafka, high throughput was observed. That was really helpful in the overall architecture. Apache Kafka...
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