Neu in Confluent Cloud: Daten & Pipelines für KI-fähiges Streaming zugänglich machen | Mehr erfahren
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
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 Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
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 […]
I’m proud to announce the release of Apache Kafka 2.8.0 on behalf of the Apache Kafka® community. The 2.8.0 release contains many new features and improvements. This blog post highlights […]
The transition from a passive event stream to an active component like a workflow engine is very interesting. It raises a lot of questions about idempotency, scalability, and the capability […]
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 […]
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 […]