UPDATED 21:10 EDT / NOVEMBER 01 2017

INFRA

Apache Kafka data streaming engine hits milestone as version 1.0 goes live

The Apache Kafka distributed data streaming engine has finally hit version 1.0, a milestone that indicates the platform is finally ready for mainstream business.

“Apache Kafka is playing a bigger role as companies are moving to real-time streaming and embracing stream processing,” Jun Rao, vice president of Apache Kafka, said in a statement. “The 1.0.0 release is an important milestone for the Apache Kafka community as we’re committed to making it ready for enterprise adoption.”

Originally built by engineers at LinkedIn Corp. before being open-sourced and donated to the Apache Software Foundation, Kafka is a lightweight, fast and highly scalable message broker that’s used to pass data between applications. Message brokers can translate messages from one language to another, and they’re also used to decouple data streams from processing and buffer unsent messages.

However, Kafka improves on typical message brokers thanks to its unique capabilities, including advanced throughput, built-in partitioning, replication, latency and reliability.

In real-life enterprise scenarios, Apache Kafka is used for a variety of tasks including messaging, real-time website activity tracking and monitoring distributed application metrics. It can also be used for event sourcing where state changes in databases are logged and ordered, and for log aggregation from multiple servers.

With the release of version 1.0, the ASF highlighted a number of enterprise grade features, including the ability to publish and subscribe to data streams at massive scales, long-term data stream storage, and real-life stream processing with exactly-once semantics, which prevents the same messages being sent multiple times from connection errors and other network issues.

The new release naturally is packed with big fixes and improvements, including enhancements to Kafka’s implementation of “cyclic redundancy checks,” which is an error-detecting code used to check for accidental changes to raw data.

The ASF said Apache Kafka 1.0 will be on display at the upcoming Kafka Summit 2018 in London and San Francisco.

Image: Kafka

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