Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
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.
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.
Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could […]
If you are new to Apache Kafka®, this article is a great way to help you kick-start your first Kafka project and set your data in motion. The best way […]
Serverless stream processing with Apache Kafka® is a powerful yet often underutilized field. Microsoft’s Azure Functions, in combination with ksqlDB and Confluent’s sink connector, provide a powerful and easy-to-use set […]
Back in 2020, so many folks picked up pandemic hobbies—things they could throw themselves into at full force while they were restricted by lockdowns. I chose houseplants. Prior to the […]
The worlds of data integration and data pipelines are changing in ways that are highly reminiscent of the profound changes I witnessed in application and service development over the last twenty years.
Millions of developers code on GitHub, and if you’re one of those developers using it to create Apache Kafka® applications—for which there are 70,000+ Kafka-related repositories—it is natural to integrate […]
We are excited to announce the ksqlDB 0.27.1 release! This iteration brings forth new functionality for dynamic data access against multi-schema topics, a host of improvements relating to working with […]
The Confluent Q3 ‘22 Launch, our latest set of Confluent Cloud product launches, is live and packed full of new features to help your business innovate quickly with real-time data […]
We are pleased to announce the release of Confluent Platform 7.2. With this release, we are further simplifying management tasks for Apache Kafka® operators, providing even more flexible options to […]
In a modern data stack, being able to discover, understand, organize and reuse data is key to obtaining the most value from your data. These requirements have led to the […]
As part of our series walking through how we built Confluent Cloud into a 10x better Apache Kafka® service, we explored how Confluent Cloud uses Intelligent Storage to achieve 10x […]
Understanding how data flows and is transformed across the different layers of an organization’s application and data stack is one of the most challenging governance problems companies are facing today. […]
Dealing with garbage in, garbage out (GIGO) has tormented data teams for generations. Analytics and decision making have suffered from this “garbage”. The new era of machine learning and being […]
Confluent for Kubernetes (CFK) has added declarative API support for Cluster Linking, allowing you to connect public and private cloud environments with a declarative API. Confluent for Kubernetes provides a […]