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Confluent Blog
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
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...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
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 […]
Spring for Apache Kafka Deep Dive – Part 1: Error Handling, Message Conversion and Transaction Support
Following on from How to Work with Apache Kafka in Your Spring Boot Application, which shows how to get started with Spring Boot and Apache Kafka®, here we’ll dig a […]