description Apache Kafka with Azure Event Hubs lets you stream data without managing clusters. Learn how to configure producer and consumer apps in this quickstart. Azure Event Hubs provides a Kafka ...

Apache Kafka is a powerful distributed stream processing platform originally developed by LinkedIn, written in Scala and Java. In this article, I walk through the foundational concepts, design and ...

Community driven content discussing all aspects of software development from DevOps to design patterns. To quickly install Java on Ubuntu and have the JDK’s utilities included on the operating ...

To build from scratch, clone the repo and copy kafka keystore/truststore certificates and public certificate authority (CA) file of kafka broker to script/ca folder ...

Event sourcing is an architectural software pattern that's useful to design complex and distributed systems, particularly those that run many processes concurrently. The pattern captures and stores ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

These lighter-weight Java frameworks combine cloud-native flexibility with Java’s time-tested engineering, so you can write responsive code that’s easy to deploy anywhere. The Java programming ...

The decision on which client library to use when interacting with Kafka will in the majority of cases simply come down to the programming language used by the organisation. However, if this is the ...

Red Hat’s Quarkus is a full-stack, open-source Java framework designed for containers and cloud environments. See why it’s a worthy alternative to Spring. Quarkus is a full-stack, open-source Java ...