Confluent Blog

With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok

Our new cat, Snowy, is waking early. She is startled by the noise of jets flying over our house. Can I determine which plane is upsetting her by utilizing Apache

We are happy to announce that our paper Streams and Tables: Two Sides of the Same Coin is published and available for free download. The paper was presented at the

In a previous blog post, we introduced exactly-once semantics for Apache Kafka®. That post covered the various message delivery semantics, introduced the idempotent producer, transactions, and the exactly-once processing semantics

This guest blog post is the second in a series about the use of Apache Kafka’s Streams API by Zalando, Europe’s largest online fashion retailer. See Ranking Websites in Real-time

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,

This is a very exciting time to be part of the Apache Kafka® community! Every four months, a new Apache Kafka release brings additional features and improvements. We’re particularly excited

There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything

In his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage

Introduction What’s great about the Kafka Streams API is not just how fast your application can process data with it, but also how fast you can get up and running