Découvrez Streamhouse : l’architecture de données ouverte pour l’IA | En savoir plus
Technology
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Introducing Confluent Cloud on Microsoft Azure
Today, we are proud to make Confluent Cloud available to companies leveraging the Microsoft Azure ecosystem of services, in addition to the previous rollouts on Google Cloud Platform (GCP) and […]
Machine Learning and Real-Time Analytics in Apache Kafka Applications
The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in […]
Getting Started with Rust and Apache Kafka
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 […]
4 Steps to Creating Apache Kafka Connectors with the Kafka Connect API
If you’ve worked with the Apache Kafka® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. […]
🚂 On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data
Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka® and Confluent Platform can provide the foundations […]
Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT
The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the […]
Building a Real-Time, Event-Driven Stock Platform at Euronext
As the head of global customer marketing at Confluent, I tell people I have the best job. As we provide a complete event streaming platform that is radically changing how […]
How to Run Apache Kafka with Spring Boot on Pivotal Application Service (PAS)
This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka® cluster running in Pivotal […]
How to Deploy Confluent Platform on Pivotal Container Service (PKS) with Confluent Operator
This tutorial describes how to set up an Apache Kafka® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator, which allows you to deploy and run Confluent Platform […]
Why Scrapinghub’s AutoExtract Chose Confluent Cloud for Their Apache Kafka Needs
We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract, which turns article and product pages into structured data. At Scrapinghub, we specialize in web data […]
Free Apache Kafka as a Service with Confluent Cloud
Go from zero to production on Apache Kafka® without talking to sales reps or building infrastructure Apache Kafka is the standard for event-driven applications. But it’s not without its challenges, […]
Schema Validation with Confluent Platform 5.4
Robust data governance support through Schema Validation on write is now supported in Confluent Platform 5.4. Schema Validation enables the broker to verify that data produced to an Apache Kafka® […]
Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset
In the early days, many companies simply used Apache Kafka® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. The significant difference […]
Incremental Cooperative Rebalancing in Apache Kafka: Why Stop the World When You Can Change It?
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 […]