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Apache Kafka

Project33.9K

Build event-streaming pipelines and applications on a distributed platform.

Added 2026-10-07
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What you can build

  • Build a workflow that converts supplier CSV rows with inconsistent field names and units into canonical product-event records for a catalog consumer.
  • Turn incoming sensor readings into per-device hourly minimum, maximum, and average records for a streaming-analytics consumer.
  • Transform support-message events by masking configured personal fields, then send the sanitized records to a separate downstream consumer.
  • Count application error events over defined time windows and emit an alert record when a service exceeds its configured threshold.
  • Match incoming order and shipment-scan events, then produce a report of orders with missing or unmatched shipment records.

Try this prompt

Build a small end-to-end supplier-feed normalization workflow using Apache Kafka. Accept CSV rows with supplier-specific field names and units, validate and convert them into a documented canonical product-event format, and make the normalized output available to a consumer. Preserve the original input records, report invalid rows separately, and include a small sample input, expected output, and tests. Follow Kafka's official quickstart for the broker setup; do not assume an undocumented external integration.

Get started

  1. Prepare the build environment

    Install Java. The README documents building and testing with Java versions 17 and 25, and identifies Scala 2.13 as the supported Scala version.

  2. Start a broker

    Use the official Kafka quickstart linked from the README. The repository also documents running a broker from compiled files or using the Apache Kafka Docker image.

  3. Build or test from source

    Use the repository's Gradle wrapper for builds and tests; the README documents JAR builds and unit and integration test tasks. No shell commands are included here.

License & notes

Apache-2.0Apache-2.0 permits commercial use. When redistributing Kafka or derivative works, follow the license terms, including providing the license, retaining applicable notices, and marking changed files. Budget separately for compute, storage, networking, and operating any hosted infrastructure. No model or paid API cost is documented for Kafka itself; this catalog does not quote prices.

  • Kafka is broker infrastructure, not a turnkey business workflow; custom producers, consumers, and operational setup remain necessary.
  • Running a distributed broker requires infrastructure and operations planning; the supplied README does not promise a particular deployment's performance or availability.
  • Building the repository requires Java, and Scala 2.13 is the only supported Scala version.

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