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Confluent Blog
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
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.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
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
Apache Kafka 0.8.2.1 release
The Apache Kafka community just announced the 0.8.2.1 release. This is a a bug fix release and fixes 4 critical issues reported in the 0.8.2.0 release (the full list of […]
How to Choose the Number of Topics/Partitions in a Kafka Cluster?
Note For the latest, check out the blog posts Apache Kafka® Made Simple: A First Glimpse of a Kafka Without ZooKeeper and Apache Kafka Supports 200K Partitions Per Cluster.
Turning the database inside-out with Apache Samza
This is an edited and expanded transcript of a talk I gave at Strange Loop 2014. The video recording (embedded below) has been watched over 8,000 times. For those of […]
Why Avro for Kafka Data?
If you are getting started with Kafka one thing you’ll need to do is pick a data format. The most important thing to do is be consistent across your usage. […]
Announcing the Confluent Platform 1.0
We are very excited to announce general availability of Confluent Platform 1.0, a stream data platform powered by Apache Kafka, that enables high-throughput, scalable, reliable and low latency stream data […]
Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 2)
This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of […]
Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 1)
Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to […]
Stream Processing, CEP, Event Sourcing, and Data Streaming Explained
Some people call it stream processing. Others call it event streaming, complex event processing (CEP), or CQRS event sourcing. Sometimes, such buzzwords are just smoke and mirrors, invented by companies […]
What’s coming in Apache Kafka 0.8.2
I am very excited to tell you about the forthcoming 0.8.2 release of Apache Kafka. Kafka is a fault-tolerant, low-latency, high-throughput distributed messaging system used in data pipelines at several […]
Announcing Confluent, a Company for Apache Kafka® and Realtime Data
Today I’m excited to announce that Neha Narkhede, Jun Rao, and I are forming a start-up called Confluent around realtime data and the open source project Apache Kafka® that we […]