Confluent Blog

Data streaming is a new category of technology that is reshaping the way businesses operate, but there hasn’t been a place for everyone in the ecosystem to come together and

This four-part series explores the core fundamentals of Kafka’s storage and processing layers and how they interrelate. In this first part, we begin with an overview of events, streams, tables,

So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a

So you’ve convinced your friends and stakeholders about the benefits of event-driven systems. You have successfully piloted a few services backed by Apache Kafka®, and it is now supporting business-critical

Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices

Imagine a fire hose that spews out trillions of gallons of water every day, and part of your job is to withstand every drop coming out of it. This is

When should you use an API? When should you use an event? Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s

With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok

Part 1 of our series on event-driven architecture discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares

The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to