Elevating Kafka: Driving operational excellence with Albertsons + Forrester | Watch Webinar
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...
Check out all the highlights from the Apache Flink® 1.19 release!
Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!
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 […]
In this blog post, we’re going to get back to basics and walk through how to get started using Apache Kafka with your Python applications. We will assume some basic […]
In his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage […]
For many, microservices are built on a protocol of requests and responses. REST etc. This approach is very natural. It is after all the way we write programs: we make […]
We are very excited to share a wealth of streaming news from the past month! If you are looking for an ideal streaming data service that delivers the resilient, scalable […]