Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

Apache Kafka is a stream-processing platform for storing, consuming, and processing data streams in real-time. In this post, we’ll learn how to produce and consume data using Kafka and Quarkus.

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular ...

Author Ben Bromhead discusses the latest Kafka best practices for developers to manage the data streaming platform more effectively. Best practices include log configuration, proper hardware usage ...

Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know.

Kafka Streams, which is part of the free and open source Apache Kafka offering, provides simple stream processing capabilities, including data transformation for streaming data. Kafka Connect, ...

Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform ...

The company founded by Apache Kafka's creators introduces infinite data retention on its Confluent Cloud platform. As a result, the company is pushing the event streaming data technology as a ...

Instaclustr’s Slater: Apache Kafka is fairly easy to get started with – but understanding its deeper nuances and capturing all that it has to offer can be a heck of a challenge.