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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.
17 Ways to Mess Up Self-Managed Schema Registry
Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes […]
Kafka Summit London 2019 Session Videos
Let us cut to the chase: Kafka Summit London session videos are available! If you were there, you know what a great time it was, and you know that you […]
Scylla and Confluent Integration for IoT Deployments
The internet is not just connecting people around the world. Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting […]
Schemas, Contracts, and Compatibility
When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. At first, you may think to use REST APIs—most programming […]
Deploying Kafka Streams and KSQL with Gradle – Part 1: Overview and Motivation
Red Pill Analytics was recently engaged by a Fortune 500 e-commerce and wholesale company that is transforming the way they manage inventory. Traditionally, this company has used only a few […]
Announcing the Confluent Community Catalyst Program
A technology community is made up of people. Without people writing code, writing tutorials, welcoming newcomers, giving presentations, and answering questions, what we have is not a community, but just […]
Introducing a Cloud-Native Experience for Apache Kafka in Confluent Cloud
In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka® service. Confluent Cloud now handles several GB/s of traffic—a 200-fold increase in just six […]
Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices
So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a […]
Dawn of Kafka DevOps: Managing Multi-Cluster Kafka Connect and KSQL with Confluent Control Center
In anything but the smallest deployment of Apache Kafka®, there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect is used for building event streaming […]
Apache Kafka Data Access Semantics: Consumers and Membership
Every developer who uses Apache Kafka® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the […]
Dawn of Kafka DevOps: Managing Kafka Clusters at Scale with Confluent Control Center
When managing Apache Kafka® clusters at scale, tasks that are simple on small clusters turn into significant burdens. To be fair, a lot of things turn into significant burdens at […]
The PipelineDB Team Joins Confluent
Some years ago, when I was at LinkedIn, I didn’t really know what Apache Kafka® would become but had an inkling that the next generation of applications would not be […]
Optimizing Kafka Streams Applications
With the release of Apache Kafka® 2.1.0, Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. This framework opens the door for various optimization techniques […]
Creating an IoT-Based, Data-Driven Food Value Chain with Confluent Cloud
Industries are oftentimes more complex than we think. For example, the dinner you order at a restaurant or the ingredients you buy (or have delivered) to cook dinner at home […]