Apache Kafka Connect is a framework for streaming data between Apache Kafka and other data systems. Unlike writing custom Producer or Consumer code, Connect operates as a scalable, fault-tolerant service that manages the tedious details of integration, such as parallelism, offset management, and error handling. It allows developers to focus […]
Apache Kafka Streams is a client-side library for building applications and microservices that process and analyze data stored in Kafka topics. It combines the simplicity of writing and deploying standard Java/Scala applications with the power of Kafka’s immutable log, enabling sophisticated stream processing with native fault tolerance and scalability. KStream […]
In a production Kafka environment, data quality and backward compatibility are not optional, they are critical requirements. Simply serializing data as JSON or raw bytes is a fast track to chaos, especially in microservices architectures where producers and consumers evolve independently. The Confluent Schema Registry provides the solution: a centralized […]
Searching for the main class. When building a Spring Boot application, the framework relies on the spring-boot-maven-plugin to package the project into an executable JAR. During the packaging phase, this plugin scans the compiled classes to locate the entry point—specifically the class annotated with @SpringBootApplication that contains the public static […]