Confluent Blog
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.
Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments
Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an […]
Announcing Confluent Cloud for Apache Kafka as a Native Service on Google Cloud Platform
I’m excited to announce that we’re partnering with Google Cloud to make Confluent Cloud, our fully managed offering of Apache Kafka®, available as a native offering on Google Cloud Platform […]
Putting Events in Their Place with Dynamic Routing
Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices […]
KSQL: What’s New in 5.2
KSQL enables you to write streaming applications expressed purely in SQL. There’s a ton of great new features in 5.2, many of which are a result of requests and support […]
Introducing Confluent Platform 5.2
Includes free forever Confluent Platform on a single Apache Kafka® broker, improved Control Center functionality at scale and hybrid cloud streaming We are very excited to announce the general availability […]
Consuming Messages Out of Apache Kafka in a Browser
Imagine a fire hose that spews out trillions of gallons of water every day, and part of your job is to withstand every drop coming out of it. This is […]
The Importance of Distributed Tracing for Apache Kafka Based Applications
Apache Kafka® based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. One result of this is that producers and […]
Kafka Streams’ Take on Watermarks and Triggers
Back in May 2017, we laid out why we believe that Kafka Streams is better off without a concept of watermarks or triggers, and instead opts for a continuous refinement […]
SOA vs. EDA: Is Not Life Simply a Series of Events?
When should you use an API? When should you use an event? Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s […]
Kafka Connect Deep Dive – Error Handling and Dead Letter Queues
Kafka Connect is part of Apache Kafka® and is a powerful framework for building streaming pipelines between Kafka and other technologies. It can be used for streaming data into Kafka […]
Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream
On the heels of part 1 in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support, here in part 2 we’ll focus […]
CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud
Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that […]
All About the Kafka Connect Neo4j Sink Plugin
Only a little more than one month after the first release, we are happy to announce another milestone for our Kafka integration. Today, you can grab the Kafka Connect Neo4j […]
Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless
With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok […]