Technology

While the current hype around the Internet of Things (IoT) focuses on smart “things”—smart homes, smart cars, smart watches—the first known IoT device was a simple Coca-Cola vending machine at […]

As we announced in Introducing Confluent Platform 5.2, the latest release introduces many new features that enable you to build contextual event-driven applications. In particular, the management and monitoring capabilities […]

At Confluent, we see many of our customers are on AWS, and we’ve noticed that Amazon S3 plays a particularly significant role in AWS-based architectures. Unless a use case actively […]

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an […]

I’m excited to announce that we’re partnering with Google Cloud to make Confluent Cloud, our fully managed offering of Apache Kafka®, available as a native offering on Google Cloud Platform […]

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 […]

KSQL enables you to write streaming applications expressed purely in SQL. There’s a ton of great new features in 5.2, many of which are a result of requests and support […]

Includes free forever Confluent Platform on a single Apache Kafka® broker, improved Control Center functionality at scale and hybrid cloud streaming We are very excited to announce the general availability […]

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 […]

Apache Kafka® based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. One result of this is that producers and […]

Back in May 2017, we laid out why we believe that Kafka Streams is better off without a concept of watermarks or triggers, and instead opts for a continuous refinement […]

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 […]

Kafka Connect is part of Apache Kafka® and is a powerful framework for building streaming pipelines between Kafka and other technologies. It can be used for streaming data into Kafka […]

On the heels of part 1 in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support, here in part 2 we’ll focus […]