Confluent Blog

We are pleased to invite Tom Underhill to join us as a guest blogger. Tom is Head of R&D at Rittman Mead, a data and analytics company who specialise in

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

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,

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

At The New York Times we have a number of different systems that are used for producing content. We have several Content Management Systems, and we use third-party data and

This post is by Anil Kumar, Global eCommerce Engineer at Walmart Labs. Anil specializes in enabling stream processing, cloud computing, ad technology, search services, information retrieval, transport and application layer protocols,