The Apache Kafka distributed streaming platform features an architecture that – ironically, given the name – provides application messaging that is markedly clearer and less Kafkaesque when compared ...

In the previous article, we gained an understanding of the main Kafka components and how Kafka consumers work. Now, we’ll see how these contribute to the ability of Kafka to provide extreme ...

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the ...

Ensuring that distributed systems like Apache Kafka are resilient is crucial to withstanding disruptions, adapting to changing conditions and maintaining essential functions. Those who implement these ...

In this section, we will examine the architectural components and related terminology in Kafka. Basically, Kafka consists of the following components: Kafka Cluster—a collection of one or more servers ...

Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

This article was originally published on the Confluent blog. COVID-19 has created extraordinary challenges in virtually every industry. While much attention has been focused on the pandemic’s effect ...

Three digital leaders talk about how their businesses are using Confluent Cloud – and they explain how other organizations can benefit, too. Digital leaders who want to explore the benefits of ...

CHICAGO--(BUSINESS WIRE)--WarpStream Labs, the cloud native data streaming infrastructure company, announced it raised $20M in funding led by Greylock and Amplify Partners. Angel investors in the ...