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。
We are excited to announce that Confluent for Kubernetes is generally available! Today, we are enabling our customers to realize many of the benefits of our cloud service with the […]
Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks, […]
Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for […]
Updating a fundamental paradigm in your React app can be as easy as search and replace, or at other times, as difficult as convincing your entire frontend engineering to buy […]
We’re happy to announce that Confluent Cloud, our cloud-native service for Apache Kafka®, now supports Azure Private Link for secure network connectivity, in addition to the existing Azure Virtual Network […]
Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and […]
I previously showed how to install and set up Apache Kafka® on Windows in minutes by using the Windows Subsystem for Linux 2 (WSL 2). From there, it’s only a […]
Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and […]
Building cross-platform solutions enables organizations to leverage technology driven by real-time data and enabled with both highly available services and low-latency databases hosted on Microsoft Azure. Azure Cosmos DB is […]
In order for a technology like Confluent Cloud to make it easy to set data in motion, many different software systems are required to interact with each other using API […]
Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases. […]
This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a […]
One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many […]
Persisting data in multiple regions has become crucial for modern businesses: They need their mission-critical data to be protected from accidents and disasters. They can achieve this goal by running […]