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
Morgan Stanley uses Apache Kafka® to publish market data to internal clients and to persist it for replay purposes. We started out using librdkafka’s C++ API, which maintains C++98 compatibility. […]
Today, I am delighted to announce an expanded partnership with Elastic. Together, we’re enabling our joint customers to set data in motion, and through that, deliver optimized search, real-time analytics, […]
There are two basic models for evaluating the cost of any technology. Organizations often gravitate to return on investment (ROI) because it models a clear financial return. Total cost of […]
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 […]
At the heart of Apache Kafka® sits the log—a simple data structure that uses sequential operations that work symbiotically with the underlying hardware. Efficient disk buffering and CPU cache usage,...
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 […]
Harnessing your data in motion is critical to building the rich customer experiences and data-driven operations that provide a competitive advantage for your business. But the management burden on you […]
LiveStreams is a YouTube show about Confluent, real-time data streaming, and related technologies that help you maximize data in motion on any cloud. Every episode of LiveStreams will teach you […]
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 […]
At Funding Circle, we rely heavily on Kafka as the main piece of infrastructure to enable our event-driven-based microservices architecture. There are numerous organizational benefits of microservices, however a key […]
Apache Kafka ships with Kafka Streams, a powerful yet lightweight client library for Java and Scala to implement highly scalable and elastic applications and microservices that process and analyze data […]