Confluent Blog

Fraud detection, payment systems, and stock trading platforms are only a few of many Apache Kafka® use cases that require both fast and predictable delivery of data. For example, detecting

Modern Python has very good support for cooperative multitasking. Coroutines were first added to the language in version 2.5 with PEP 342 and their use is becoming mainstream following the

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark, which you are welcome to read about in my previous

There is a coming and a going / A parting and often no—meeting again. —Franz Kafka, 1897 Load balancing and scheduling are at the heart of every distributed system, and

If you are not using fully managed Apache Kafka® in the Confluent Cloud, then this question on Kafka listener configuration comes up on Stack Overflow and such places a lot, so

Confluent’s clients for Apache Kafka® recently passed a major milestone—the release of version 1.0. This has been a long time in the making. Magnus Edenhill first started developing librdkafka about

When it was first created, Apache Kafka® had a client API for just Scala and Java. Since then, the Kafka client API has been developed for many other programming languages

In the previous article, we saw how syslog data can be easily streamed into Apache Kafka® and filtered in real time with KSQL. In this article, we’re going to see how

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

In this blog post, we’re going to get back to basics and walk through how to get started using Apache Kafka with your Python applications. We will assume some basic