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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.
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. […]
Apache Kafka and R: Real-Time Prediction and Model (Re)training
Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It […]
What’s New in Apache Kafka 3.0.0
I’m pleased to announce the release of Apache Kafka 3.0 on behalf of the Apache Kafka® community. Apache Kafka 3.0 is a major release in more ways than one. Apache […]
Getting Started with GraphQL and Apache Kafka
GraphQL and Apache Kafka® are sometimes troubled with misconceptions. One of the reasons for this is that people are often familiar with one but not the other. GraphQL is mostly […]
Kafka Connect Fundamentals: What is Kafka Connect?
Apache Kafka® is an enormously successful piece of data infrastructure, functioning as the ubiquitous distributed log underlying the modern enterprise. It is scalable, available as a managed service, and has […]
Implement a Cross-Platform Apache Kafka Producer and Consumer with C# and .NET
Sometimes you’d like to write your own code for producing data to an Apache Kafka® topic and connecting to a Kafka cluster programmatically. Confluent provides client libraries for several different […]
The New One-Stop Shop for Learning Apache Kafka
Today, I’m very excited to announce an all-new website dedicated to Apache Kafka®, event streaming, and associated cloud technologies. The site is called Confluent Developer, and it represents a significant […]
Create a Data Analysis Pipeline with Apache Kafka and RStudio
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […]
Error Handling Patterns for Apache Kafka Applications
Apache Kafka® applications run in a distributed manner across multiple containers or machines. And in the world of distributed systems, what can go wrong often goes wrong. This blog post […]
How to Survive an Apache Kafka Outage
There is a class of applications that cannot afford to be unavailable—for example, external-facing entry points into your organization. Typically, anything your customers interact with directly cannot go down. As […]
What’s New in Apache Kafka 2.8
I’m proud to announce the release of Apache Kafka 2.8.0 on behalf of the Apache Kafka® community. The 2.8.0 release contains many new features and improvements. This blog post highlights […]
Debuting a Modern C++ API for Apache Kafka
Morgan Stanley uses Apache Kafka® to publish market data to internal clients and to persist it for replay purposes. We started out using librdkafka’s C++ API, which maintains C++98 compatibility. […]