Confluent Blog
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.
An Introduction to Apache Kafka Security: Securing Real-Time Data Streams
The largest companies in the world use Apache Kafka® for their real-time streaming data pipelines and applications. Kafka is the basis for the real-time fraud text alerts from your bank […]
Real-Time Wildlife Monitoring with Apache Kafka
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could […]
Data Enrichment in Existing Data Pipelines Using Confluent Cloud
If you are new to Apache Kafka®, this article is a great way to help you kick-start your first Kafka project and set your data in motion. The best way […]
Getting Started with Stream Processing: The Ultimate Guide
Whether it’s ordering shoes online, depositing a check through a banking app, or reserving a ride-share to the airport, customers today expect transactions to be fast and seamless. To make […]
Serverless Stream Processing with Apache Kafka, Azure Functions, and ksqlDB
Serverless stream processing with Apache Kafka® is a powerful yet often underutilized field. Microsoft’s Azure Functions, in combination with ksqlDB and Confluent’s sink connector, provide a powerful and easy-to-use set […]
Getting Started with Database Modernization
For many companies, the journey to the cloud started as a way to take advantage of the cost savings, speed, and scale of cloud computing. You may have already started […]
Confluent announces launch of Cloud Reseller Program
Today, Confluent is happy to announce the launch of our Confluent Cloud Reseller Program. Our Cloud Reseller Program aims to give AWS customers the tools to simplify the procurement of […]
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 […]
Streaming Data Pipelines: Reinventing Data Flows
The worlds of data integration and data pipelines are changing in ways that are highly reminiscent of the profound changes I witnessed in application and service development over the last twenty years.
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 […]
Announcing ksqlDB 0.27.1
We are excited to announce the ksqlDB 0.27.1 release! This iteration brings forth new functionality for dynamic data access against multi-schema topics, a host of improvements relating to working with […]
The Confluent Q3 ’22 Launch: Confluent Terraform Provider, Independent Network Lifecycle Management, and More
The Confluent Q3 ‘22 Launch, our latest set of Confluent Cloud product launches, is live and packed full of new features to help your business innovate quickly with real-time data […]
Introducing Confluent Platform 7.2: Enhanced Cloud-Native Security and Geo-Replication
We are pleased to announce the release of Confluent Platform 7.2. With this release, we are further simplifying management tasks for Apache Kafka® operators, providing even more flexible options to […]
How to Find, Share, and Organize Your Data Streams with Stream Catalog
In a modern data stack, being able to discover, understand, organize and reuse data is key to obtaining the most value from your data. These requirements have led to the […]