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 […]
For developers and analysts accustomed to the relational world, processing real-time data streams often presents a steep learning curve. ksqlDB (formerly KSQL) bridges this gap, acting as a streaming database built on top of Apache Kafka. It allows you to query, analyze, and transform data streams using a simple, SQL-like […]
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 […]