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
Company mergers are becoming more common as businesses strive to improve performance and grow market share by saving costs and eliminating competition through acquisitions. But how do business mergers relate […]
When I have a small software project that I want to share with the world, I don’t write my own version control system with a web UI. I don’t even […]
Many organisations rely on commercial or open source monitoring tools to measure the performance and stability of business-critical applications. AppDynamics, Datadog, and Prometheus are widely used commercial and open source […]
In April, we kicked off Project Metamorphosis. Project Metamorphosis is an effort to bring the simplicity of best of breed cloud systems to the world of event streaming. It is […]
Apache Kafka® is the de facto standard for event streaming today. The semantics of the partitioned consumer model that Kafka pioneered have enabled scale at a level and at a […]
When a client wants to send or receive a message from Apache Kafka®, there are two types of connection that must succeed: The initial connection to a broker (the […]
We are excited to announce the preview release of the fully managed MongoDB Atlas source and sink connectors in Confluent Cloud, our fully managed event streaming service based on Apache […]
Most organisations maintain fleets, a collection of vehicles put to use for day-to-day operations. Telcos use a variety of vehicles including cars, vans, and trucks for service, delivery, and maintenance. […]
The rise of IoT devices means that we have to collect, process, and analyze orders of magnitude more data than ever before. As sensors and devices become ever more ubiquitous, […]
This is the second of a series of posts (part 1 | part 3) that dive deep into key improvements made to ksqlDB to prepare for production availability in Confluent […]
Over a year ago, Confluent set out on a mission to improve user experience by empowering developers, operators, and architects with intuitive command line interfaces (CLIs) for managing their Confluent […]
This month, we kicked off Project Metamorphosis by introducing several Confluent features that make Apache Kafka® clusters more elastic—the first of eight foundational traits characterizing cloud-native data systems that map […]
For many organizations, Apache Kafka® is the backbone and source of truth for data systems across the enterprise. Protecting your event streaming platform is critical for data security and often […]
Recently, I’ve been looking at what’s possible with streams of Wi-Fi packet capture (pcap) data. I was prompted after initially setting up my Raspberry Pi to capture pcap data and […]