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.
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 […]
Using a powerful, event-driven application can help you unlock insights contained in the event streams of your business. Before we get into the technology, let’s go over some questions you […]
Confluent Cloud supports Schema Registry as a fully managed service that allows you to easily manage schemas used across topics, with Apache Kafka® as a central nervous system that connects […]
What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you, […]
Currently, Apache Kafka® uses Apache ZooKeeper™ to store its metadata. Data such as the location of partitions and the configuration of topics are stored outside of Kafka itself, in a […]