Confluent Blog

Apache Kafka® is at the core of a large ecosystem that includes powerful components, such as Kafka Connect and Kafka Streams. This ecosystem also includes many tools and utilities that […]

On a recent episode of Streaming Audio, Gwen Shapira, Michael Noll, and Ben Stopford joined me to hold forth about the near future of Apache Kafka® and software architecture in […]

Confluent uses property-based testing to test various aspects of Confluent Cloud’s Tiered Storage feature. Tiered Storage shifts data from expensive local broker disks to cheaper, scalable object storage, thereby reducing […]

Confluent Platform 6.0 was released last year bringing with it many exciting new features to Confluent REST Proxy. Before we dive into what was added, let’s first revisit what REST […]

At Zendesk, Apache Kafka® is one of our foundational services for distributing events among different internal systems. We have pods, which can be thought of as isolated cloud environments where […]

We recently published tutorial videos and a series of tweets on the Apache Kafka® platform as we see it. After you hear that there’s a thing called Kafka but before […]

I’m proud to announce the release of Apache Kafka 2.7.0 on behalf of the Apache Kafka® community. The 2.7.0 release contains many new features and improvements. This blog post highlights […]

Microservice architectures continue to grow within engineering organizations as teams strive to increase development velocity. Microservices promote the idea of modularity as a first-class citizen in a distributed architecture, enabling […]

We’re pleased to announce ksqlDB 0.14, one of our most significant releases of the year. This version includes expanded query support over materialized views, incremental schema alteration, variable substitution, additional […]

Consuming messages in parallel is what Apache Kafka® is all about, so you may well wonder, why would we want anything else? It turns out that, in practice, there are […]

Building event streaming applications has never been simpler with ksqlDB. But what is it? ksqlDB is an event streaming database for building stream processing applications. Unlike Kafka Streams, ksqlDB programs […]

This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka® as the data backbone, to create a frictionless machine learning […]

This article covers one crucial piece of every distributed system: visibility. At AppsFlyer, we call ourselves metrics obsessed and truly believe that you cannot know what you cannot see. We […]

If you’re getting started with Apache Kafka® and event streaming applications, you’ll be pleased to see the variety of languages available to start interacting with the event streaming platform. It […]