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Apache Kafka
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Apache Kafka at Home: A Houseplant Alerting System with ksqlDB
Back in 2020, so many folks picked up pandemic hobbies—things they could throw themselves into at full force while they were restricted by lockdowns. I chose houseplants. Prior to the […]
4 Must-Have Tests for Your Apache Kafka CI/CD with GitHub Actions
Millions of developers code on GitHub, and if you’re one of those developers using it to create Apache Kafka® applications—for which there are 70,000+ Kafka-related repositories—it is natural to integrate […]
What’s New in Apache Kafka 3.2.0
I’m proud to announce the release of Apache Kafka 3.2.0 on behalf of the Apache Kafka® community. The 3.2.0 release contains many new features and improvements. This blog will highlight […]
How Apache Kafka Works: An Introduction to Kafka’s Internals
It’s not difficult to get started with Apache Kafka®. Learning resources can be found all over the internet, especially on the Confluent Developer site. If you are new to Kafka, […]
Why ZooKeeper Was Replaced with KRaft – The Log of All Logs
Why replace ZooKeeper with an internal log for Apache Kafka® metadata management? This post explores the rationale behind the replacement, examines why a quorum-based consensus protocol like Raft was utilized […]
How to Make Apache Kafka Clients Go Fast(er) on Confluent Cloud
Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster […]
What’s New in Apache Kafka 3.1.0
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […]
Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […]
5 Common Pitfalls When Using Apache Kafka
Whether you’re a seasoned Apache Kafka® developer or just getting started you’re likely to hit a snag at some point or another—either in configuring and understanding your clients or setting […]
I Interviewed Nearly 200 Apache Kafka Experts and I Learned These 10 Things
Many leading lights of the Apache Kafka® community have appeared as guests on Streaming Audio at one time or another in the past three years. But some of its episodes […]
Getting Started with Apache Kafka and Python
Welcome Pythonistas to the streaming data world centered around Apache Kafka®! If you’re using Python and ready to get hands-on with Kafka, then you’re in the right place. This blog […]
Best Tutorials for Getting Started with Apache Kafka
Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […]
Succeeding at 100 Days Of Code for Apache Kafka
Some call it a challenge. Others call it a community. Whatever you call it, 100 Days Of Code is a bunch of fun and a great learning experience that helps […]
Spring for Apache Kafka 101
Extensive out-of-the-box functionality, a large user community, and up-to-date, cloud-native features make Spring and its libraries a strong option for anchoring your Apache Kafka® and Confluent Cloud based microservices architecture. […]