Confluent
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | June 2016
Log Compaction

Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | June 2016

Guozhang Wang

After months of testing efforts and seven voting rounds, Apache Kafka 0.10.0 and the corresponding Confluent Platform 3.0 have been finally released, cheers!

Subscribe to the Confluent Blog

Subscribe
Email *

More Articles Like This

Hunter Kelly

Ranking Websites in Real-time with Apache Kafka’s Streams API

Hunter Kelly . .

This article is by Hunter Kelly, Technical Architect at Zalando. Hunter enjoys using technology, and in particular machine learning, to solve difficult problems. He’s a graduate of the University of ...

Bill Bejeck

Predicting Flight Arrivals with the Apache Kafka Streams API

Bill Bejeck . .

Kafka Streams makes it easy to write scalable, fault-tolerant, and real-time production apps and microservices. This post builds upon a previous post that covered scalable machine learning with Apache Kafka, ...

Boyang Chen

Using Kafka Streams API for Predictive Budgeting

Boyang Chen . .

At Pinterest, we use Kafka Streams API to provide inflight spend data to thousands of ads servers in mere seconds. Our ads engineering team works hard to ensure we’re providing ...

Leave a Reply

Your email address will not be published. Required fields are marked *

Comments

  1. Question on Log Retention:

    Can we retain Kafka Topic log based on message version, i.e. if my Kafka topic is based on Customer profile, i want to retain current version and a prior version of a customer profile record based on CustomerId.

    Thanks in advance.

Try Confluent Platform

Download Now