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Kafka

Empowering real-time data processing with reliable, massively scalable, and persistent streaming platforms through Apache Kafka.

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Kafka is an open-source platform for building real-time data pipelines and streaming applications, providing a distributed streaming platform for reliable and scalable pub-sub messaging. They offer tools for building and testing, ensuring message persistence and order delivery, with notable achievements including Java 8 and 11 support deprecation plans. Kafka's services include binary release creation, RPC auto-generated message data management, running brokers in distributed or standalone modes, cleaning build environments, managing Gradle tasks, IDE project building, code quality checks, and multi-Java version scalability.

About Kafka

Kafka is an open-source platform for building real-time data pipelines and streaming applications. They develop and provide Apache Kafka as a distributed streaming platform that enables reliable, massively scalable, pub-sub messaging. Kafka's mission is to make real-time data processing ubiquitous by delivering messages persistently and in order to consumers, ensuring that no data gets lost or corrupted.

Kafka offers various services and tools:

  1. Building binary releases as gzipped tar balls using Gradle.
  2. Rebuilding RPC auto-generated message data when switching between branches.
  3. Running Kafka brokers in KRaft mode for distributed processing, or in ZooKeeper mode for standalone installations.
  4. Cleaning the build environment.
  5. Managing and listing all available Gradle tasks.
  6. Building and testing IDE projects for easier development experience.
  7. Running code quality checks with tools like Checkstyle and Spotbugs to maintain a consistent coding style and identify potential bugs.
  8. Scalability with multiple Java versions (8, 11, 17, and 21) for backward compatibility.

Some notable achievements include deprecating Java 8 support since Apache Kafka 3.0, Java 11 support for the broker and tools since Apache Kafka 3.7, and planning the removal of both in Apache Kafka 4.0.