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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.
Building Shared State Microservices for Distributed Systems Using Kafka Streams
The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka […]
Introducing Confluent Platform 5.3
Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access […]
Fault Tolerance in Distributed Systems: Tracing with Apache Kafka and Jaeger
Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka® project that I’ve worked on posed: how is data flowing through my distributed system? […]
Why I Can’t Wait for Kafka Summit San Francisco
The Kafka Summit Program Committee recently published the schedule for the San Francisco event, and there’s quite a bit to look forward to. For starters, it is a two-day event, […]
Getting Started with the MongoDB Connector for Apache Kafka and MongoDB
Together, MongoDB and Apache Kafka® make up the heart of many modern data architectures today. Integrating Kafka with external systems like MongoDB is best done though the use of Kafka […]
Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka
Have you ever realized that, according to the latest FBI report, more than 80% of all crimes are property crimes, such as burglaries? And that the FBI clearance figures indicate […]
KSQL Training for Hands-On Learning
I’ve been using KSQL from Confluent since its first developer preview in 2017. Reading, writing, and transforming data in Apache Kafka® using KSQL is an effective way to rapidly deliver […]
Deploying Kafka Streams and KSQL with Gradle – Part 3: KSQL User-Defined Functions and Kafka Streams
Building off part 1 where we discussed an event streaming architecture that we implemented for a customer using Apache Kafka, KSQL, and Kafka Streams, and part 2 where we discussed […]
KSQL in Football: FIFA Women’s World Cup Data Analysis
One of the football (as per European terminology) highlights of the summer is the FIFA Women’s World Cup. France, Brazil, and the USA are the favourites, and this year Italy […]
Kafka Listeners – Explained
If you are not using fully managed Apache Kafka® in the Confluent Cloud, then this question on Kafka listener configuration comes up on Stack Overflow and such places a lot, so […]
Designing the .NET API for Apache Kafka
Confluent’s clients for Apache Kafka® recently passed a major milestone—the release of version 1.0. This has been a long time in the making. Magnus Edenhill first started developing librdkafka about […]
Microservices, Apache Kafka, and Domain-Driven Design
Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes […]
What’s New in Apache Kafka 2.3
It’s official: Apache Kafka® 2.3 has been released! Here is a selection of some of the most interesting and important features we added in the new release. Core Kafka KIP-351 […]
Building a Scalable Search Architecture
Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. Who has never seen an application use RDBMS SQL statements to run searches? […]