Can you share your experience using Apache Kafka in projects?
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Answer from AI
In projects, I used Apache Kafka to organize a reliable and scalable message exchange system between microservices and data components. Key aspects of my experience:
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Stream data processing: Kafka served as a broker for real-time event transmission, enabling quick responses to changes and building analytical pipelines.
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Delivery guarantee: I used replication and acknowledgment settings to ensure reliability and minimize message loss.
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Integration with other systems: Through Kafka Connect, I integrated data sources (e.g., databases, logs) and consumers (e.g., Spark, Flink).
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Monitoring and management: I configured monitoring using tools like Prometheus and Grafana to track cluster performance and status.
Example of usage: a web server log stream is sent to Kafka, from where it is consumed by an analytics service for real-time metric calculation.