Technology
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
A Beginner’s Perspective on Kafka Streams: Building Real-Time Walkthrough Detection
Here at Zenreach, we create products to enable brick-and-mortar merchants to better understand, engage and serve their customers. Many of these products rely on our capability to quickly and reliably […]
Journey to Event Driven – Part 1: Why Event-First Programming Changes Everything
The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to […]
Using Apache Kafka Command Line Tools with Confluent Cloud
If you have been using Apache Kafka® for a while, it is likely that you have developed a degree of confidence in the command line tools that come with it. […]
Getting Your Feet Wet with Stream Processing – Part 2: Testing Your Streaming Application
Part 1 of this blog series introduced a self-paced tutorial for developers who are just getting started with stream processing. The hands-on tutorial introduced the basics of the Kafka Streams […]
Getting Your Feet Wet with Stream Processing – Part 1: Tutorial for Developing Streaming Applications
Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Stream processing (also known as event streaming or […]
Easy Ways to Generate Test Data in Kafka
If you’ve already started designing your real-time streaming applications, you may be ready to test against a real Apache Kafka® cluster. To make it easy to get started with your […]
A Developer’s Guide to the Confluent Community License
Last week we announced that we changed the license of some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. We are really grateful to […]
12 Days of Tech Tips
For the first 12 days of December, Confluent shared a daily tech tip related to managing Apache Kafka® in the cloud. These tips make it easier for you to get […]
License Changes for Confluent Platform
We’re changing the license for some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. This new license allows you to freely download, modify, and […]
Deep Dive into ksqlDB Deployment Options
The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]
Kafka Streams and KSQL with Minimum Privileges
The principle of least privilege dictates that each user and application will have the minimal privileges required to do their job. When applied to Apache Kafka® and its Streams API, […]
3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments
Imagine: Disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack or some other event causes one datacenter with an Apache Kafka® cluster to completely fail. Yet Kafka […]
Streaming in the Clouds: Where to Start
Only a few years ago, when someone said they had a “cloud-first strategy,” you knew exactly who their new preferred vendor was. These days, however, the story is a lot […]
Using Apache Kafka to Drive Cutting-Edge Machine Learning
Machine learning and the Apache Kafka® ecosystem are a great combination for training and deploying analytic models at scale. I had previously discussed potential use cases and architectures for machine […]