Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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のAI開発者向けツールが一般提供(GA)されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although […]
Using a declarative SQL-like interface, ksqlDB makes it easy to integrate event streaming applications into any tech stack. This article illustrates how ksqlDB was added to PushOwl’s Python tech stack, […]
This blog post talks about the recent improvements on exactly-once semantics (EOS) to make it simpler to use and more resilient. EOS was first released in Apache Kafka® 0.11 and […]
This blog post applies to ksqlDB version 0.8.1 and later. Keeping a datacenter up and running is no walk in the park. It’s a job that involves mind-boggling amounts of […]
You may already know that Confluent Cloud is available across AWS, Azure, and Google Cloud, allowing you to access the amazing stack built by Confluent including a battle-tested version of […]
Why data privacy for Apache Kafka®? As companies seek to leverage all forms of data for competitive advantage, there is a growing regulatory and reputational risk that calls for the […]
While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated […]
Apache Kafka® is a distributed commit log, commonly used as a multi-tenant data hub to connect diverse source systems and sink systems. Source systems can be systems or records, operational […]
With billions of Internet of Things (IoT) devices, achieving real-time interoperability has become a major challenge. Together, Confluent, Waterstream, and MQTT are accelerating Industry 4.0 with new Industrial IoT (IIoT) […]
In the article Should You Put Several Event Types in the Same Kafka Topic?, Martin Kleppmann discusses when to combine several event types in the same topic and introduces new […]
We are excited to announce the preview release of the fully managed Elasticsearch Service Sink Connector in Confluent Cloud, our fully managed event streaming service based on Apache Kafka®. Our […]
This is the third month of Project Metamorphosis, where we discuss new features in Confluent’s offerings that bring together event streams and the best characteristics of modern cloud data systems. […]
You know the fundamentals of Apache Kafka®. You are a Spring Boot developer working with Apache Kafka or Confluent Cloud. You have chosen Spring for Apache Kafka for your integration. […]
We kicked off Project Metamorphosis last month by announcing a set of features that make Apache Kafka® more elastic, one of the most important traits of cloud-native data systems. This […]