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
We’re pleased to announce ksqlDB 0.15, our first release of 2021! This version adds rich support for message key columns and long-awaited improvement to interactive development with the command line […]
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 […]
We are pleased to announce the release of Confluent Platform 6.1. With this release, we are further simplifying management tasks for Apache Kafka® operators and providing even higher availability for […]
Kafka Connect is part of Apache Kafka®, providing streaming integration of external systems in and out of Kafka. There are a large number of existing connectors, and you can also […]
One of the great things about using an Apache Kafka® based architecture is that it naturally decouples systems and allows you to use the best tool for the job. While […]
How do you process IoT data, change data capture (CDC) data, or streaming data from sensors, applications, and sources in real time? Apache Kafka® and Apache Spark® are widely adopted […]
Since I first started using Apache Kafka® eight years ago, I went from being a student who had just heard about event streaming to contributing to the transformational, company-wide event […]
What happens when you let engineers go wild building an application to track the score of a table football game? This blog post shares SPOUD’s story of engineering a simple […]
This a summary of Podium’s technological journey and an example of how our engineering team is tooling ourselves to scale well into the years to come. Here at Podium, we’re […]
We launched a transformation initiative three years ago that transitioned SEI Investments from a monolithic database-oriented architecture to a containerized services platform with an event-driven architecture based on Confluent Platform. […]
This year’s pandemic has forced businesses all around the world to adopt a “remote-first” approach to their operations, with an emphasis on better enabling collaboration, remote work, and productivity. This […]
Apache Kafka® is at the core of a large ecosystem that includes powerful components, such as Kafka Connect and Kafka Streams. This ecosystem also includes many tools and utilities that […]
On a recent episode of Streaming Audio, Gwen Shapira, Michael Noll, and Ben Stopford joined me to hold forth about the near future of Apache Kafka® and software architecture in […]