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...
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.
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.
We saw in the earlier articles (part 1, part 2) in this series how to use the Kafka Connect API to build out a very simple, but powerful and scalable, streaming […]
At The New York Times we have a number of different systems that are used for producing content. We have several Content Management Systems, and we use third-party data and […]
Note ksqlDB is the successor to KSQL. Read the announcement to learn more. To get started with ksqlDB in Confluent Cloud, you can sign up for fully managed Apache Kafka […]
In the previous article in this blog series I showed how easy it is to stream data out of a database into Apache Kafka®, using the Kafka Connect API. I […]
When you build microservices using Apache Kafka®, the log can be used as more than just a communication protocol. It can be used to store events: messaging that remembers. This […]
This short series of articles is going to show you how to stream data from a database (MySQL) into Apache Kafka® and from Kafka into both a text file and Elasticsearch—all […]
This post discusses Event Sourcing in the context of Apache Kafka®, examining the need for a single source of truth that spans entire service estates. Events are Truth One of […]
Confluent Platform and Apache Kafka® have come a long way from the time of their origin story. Like superheroes finding out they have powers, the latest updates always seem to […]
This fourth post in the microservices series looks at how we can sew together complex chains of services, efficiently, and accurately, using Apache Kafka’s Exactly-Once guarantees. Duplicates, Duplicates Everywhere Any […]
The last post in this microservices series looked at building systems on a backbone of events, where events become both a trigger as well as a mechanism for distributing state. […]
This is a very exciting time to be part of the Apache Kafka® community! Every four months, a new Apache Kafka release brings additional features and improvements. We’re particularly excited […]
I’m thrilled that we have hit an exciting milestone the Apache Kafka® community has long been waiting for: we have introduced exactly-once semantics in Kafka in the 0.11 release and […]
There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything […]
We are very excited for the GA for Kafka release 0.11.0.0 which is just days away. This release is bringing many new features as described in the previous Log Compaction […]