Don’t miss out on Current in New Orleans, October 29-30th — save 30% with code PRM-WEB | Register today
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...
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
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 […]
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 […]
The global video game market is bigger than the music and film industry combined. It includes Triple-A, casual/mid-core, mobile, and multiplayer online games. Various business models exist, such as hardware […]
What is KRaft, and how does it work? Apache Kafka® Raft (KRaft) is the consensus protocol that was introduced to remove Apache Kafka’s dependency on ZooKeeper™ for metadata management. This […]
The largest companies in the world use Apache Kafka® for their real-time streaming data pipelines and applications. Kafka is the basis for the real-time fraud text alerts from your bank […]
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could […]
Back in 2020, so many folks picked up pandemic hobbies—things they could throw themselves into at full force while they were restricted by lockdowns. I chose houseplants. Prior to the […]
Millions of developers code on GitHub, and if you’re one of those developers using it to create Apache Kafka® applications—for which there are 70,000+ Kafka-related repositories—it is natural to integrate […]
I’m proud to announce the release of Apache Kafka 3.2.0 on behalf of the Apache Kafka® community. The 3.2.0 release contains many new features and improvements. This blog will highlight […]
It’s not difficult to get started with Apache Kafka®. Learning resources can be found all over the internet, especially on the Confluent Developer site. If you are new to Kafka, […]
Why replace ZooKeeper with an internal log for Apache Kafka® metadata management? This post explores the rationale behind the replacement, examines why a quorum-based consensus protocol like Raft was utilized […]
Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster […]
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […]
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […]