Kafka Streams in Action
Confluent’s own Bill Bejeck has recently completed Kafka Streams In Action, a book about building real-time applications and microservices with the Kafka Streams API. The book is scheduled to be available […]
Confluent’s own Bill Bejeck has recently completed Kafka Streams In Action, a book about building real-time applications and microservices with the Kafka Streams API. The book is scheduled to be available […]
Enabling everyone to run Apache Kafka® on Kubernetes is an important part of our mission to put a streaming platform at the heart of every company. This is why we look […]
As your Apache Kafka® deployment starts to grow, the benefits of using a schema registry quickly become compelling. Confluent Schema Registry, which is included in Confluent Open Source, enables you […]
Streaming platforms force a fundamental rethink of the way companies treat the data that describes and drives their business, taking us away from the static notion of data which sits […]
We are excited to announce the release of Confluent Platform 5.0, the enterprise streaming platform built on Apache Kafka®. At Confluent, our vision is to place a streaming platform at […]
Honestly, it seems like I just filed my expense report for Kafka Summit London, and now we are announcing the program for Kafka Summit San Francisco. (CONFIDENTIAL TO CONFLUENT FINANCE: […]
Here at Confluent, we want to see each Confluent Platform installation be successful right from the start. That means going beyond beautiful APIs and spectacular stream processing features. We want […]
Typically, an Enterprise Service Bus (ESB) or other integration solutions like Extract-Transform-Load (ETL) tools have been used to try to decouple systems. However, the sheer number of connectors, as well […]
We are very excited to announce Confluent Platform June 2018 Preview. This is our most feature-packed preview release for Confluent Platform since we started doing our monthly preview releases in […]
Using KSQL, the SQL streaming engine for Apache Kafka®, it’s straightforward to build streaming data pipelines that filter, aggregate, and enrich inbound data. The data could be from numerous sources, […]
