Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 2)

Building an event streaming platform requires careful consideration of several key factors to achieve scalability, simplicity, and reliability. The first step is to limit the number of Kafka clusters to a central repository with all data streams, which simplifies system architecture and reduces integration points. Standardizing on a single data format for events is also crucial, as it eliminates low-value syntactic conversions and makes data flow easier to reason about. This requires choosing an efficient and widely supported format such as Apache Avro, and using clients that are battle-tested in production, like librdkafka. Additionally, structuring messages as events rather than commands can simplify data modeling and processing, and leveraging Kafka Connect's plug-in API can create reusable connectors for integrating with various systems and applications.