Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
Users of messaging technologies such as JMS and AMQP often use message prioritization so that messages can be processed in a different order based on their importance. It doesn’t take […]
Apache Kafka® is one of the most popular event streaming systems. There are many ways to compare systems in this space, but one thing everyone cares about is performance. Kafka […]
Multithreading is “the ability of a central processing unit (CPU) (or a single core in a multi-core processor) to provide multiple threads of execution concurrently, supported by the operating system.” […]
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.6.0. This another exciting release with many new features and improvements. We’ll […]
Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although […]
This blog post talks about the recent improvements on exactly-once semantics (EOS) to make it simpler to use and more resilient. EOS was first released in Apache Kafka® 0.11 and […]
Why data privacy for Apache Kafka®? As companies seek to leverage all forms of data for competitive advantage, there is a growing regulatory and reputational risk that calls for the […]
You know the fundamentals of Apache Kafka®. You are a Spring Boot developer working with Apache Kafka or Confluent Cloud. You have chosen Spring for Apache Kafka for your integration. […]
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 […]
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 […]
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 […]
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 […]
The goal of this post is to illustrate PUSH to web from Apache Kafka® with a hands-on example. Our business users are always wanting their data faster so they can […]
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.5.0. The community has created another exciting release. We are making progress […]