Sobes.tech
Junior — Middle

Can you share your experience using Apache Kafka in projects?

sobes.tech AI

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:

  • Stream data processing: Kafka served as a broker for real-time event transmission, enabling quick responses to changes and building analytical pipelines.

  • Delivery guarantee: I used replication and acknowledgment settings to ensure reliability and minimize message loss.

  • Integration with other systems: Through Kafka Connect, I integrated data sources (e.g., databases, logs) and consumers (e.g., Spark, Flink).

  • 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.