Kafka and Spring Boot: a complete local project
One service receives the readings of sensors; another one must process and store them. If the first one calls the second one over REST, the two are tied: when the second one is stopped or slow, the first one cannot deliver anything. Kafka sits between them: the first one publishes a message, the second one reads it at its own pace. This post builds that link from end to end, locally: Kafka in KRaft mode in Docker, a Spring Boot service that publishes a plain line of text, another one that reads it, and a page that shows the partition and the offset of each message. All the code is in the tag phase-1 of the public repository iot-monitoring-platform. ...