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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.
Announcing ksqlDB 0.28.2 and Improvements to ksqlDB in Confluent Cloud
We are excited to announce the ksqlDB 0.28.2 release as well as new cloud-specific improvements! This release simplifies the getting started experience, helps to run and monitor critical pipelines
Designing Events and Event Streams: Introduction and Best Practices
Properly designing your events and event streams is essential for any event-driven architecture. Precisely how you design and implement them will significantly affect not only what you can do today
The 7 Practices of a Highly Effective Data Mesh
First, what is a data mesh? “Data mesh” is a hot topic these days when IT infrastructure comes up. Data mesh, in our view, is a concept that involves people, […]
Event Streaming Architectures to Solve Problems for FinServ
Financial institutions generate a constant stream of data: customers opening and closing accounts and making purchases, withdrawals, and deposits. This requires the status and balance of each account to be […]
Bringing Data Into Real Time: What You Missed at Current 2022
At Current 2022 this week, Confluent CEO Jay Kreps welcomed attendees to the brand-new conference. “Where’s Kafka Summit?” he said. “It’s still right here.” As the next generation of Kafka...
New for Confluent Cloud: Stream Designer, Stream Governance Advanced, and More
Our latest set of Confluent Cloud product launches is live and packed full of new features to help businesses innovate faster and more confidently with our real-time data streaming platform. […]
Introducing Stream Designer: The Visual Builder for Streaming Data Pipelines
Data pipelines are critical to the modern, data-driven business, connecting a network of data systems and applications to power both operational and analytical use cases. With the need to promptly […]
What’s New in Apache Kafka 3.3
We are proud to announce the release of Apache Kafka® 3.3 on behalf of the Apache Kafka community. The 3.3 release contains many new features and improvements. This blog post […]
Confluent for Startups: Get It Right from the Start
Great businesses are built on making the right tradeoffs, and that’s particularly true for startups. At an early stage, a startup’s choices around how and where to deploy its limited […]
Ventana Report: Why Centralized Data Governance is Top of Mind
In every industry, real-time data, event-driven systems, and the use of Apache Kafka® have ramped up to the point of being indispensable to business. In fact, streaming data is growing […]
Excited to be back at Google Cloud Next 2022!
Here at Confluent we are excited to be participating once again in Google Cloud Next, taking place from Oct 11-13, 2022. We hope to see you there to hear more […]
Getting Started with the Confluent Terraform Provider
As part of our recent Q3 Launch for Confluent Cloud we announced the general availability of the Confluent Terraform Provider. HashiCorp Terraform is an Infrastructure as Code tool that lets […]
Event-Driven Microservices with Python and Apache Kafka
Our journey with microservices, so far… Back in the days before microservices, we used to build applications that were often hosted in application servers such as WebLogic or WebSphere (apologies […]
Keeping Multiple Databases in Sync Using Kafka Connect and CDC
Microservices architectures have now been widely adopted among developers, and with a great degree of success. However, drawbacks do exist. Data silos can arise where information processed by one microservice […]