Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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.
One of the canonical examples of streaming data is tracking location data over time. Whether it’s ride-sharing vehicles, the position of trains on the rail network, or tracking airplanes waking […]
We’re pleased to announce ksqlDB 0.18.0! This release includes pull queries on table-table joins and support for variable substitution in the Java client and ksqlDB’s migration tool. We’ll step through […]
When self-managing Confluent, provisioning and configuring Apache Kafka® deployments along with the rest of the Confluent components involves many hurdles, such as managing infrastructure, installing software, and configuring security. And […]
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 […]
When it comes to launching your next app with data in motion, few things pose the same risk to going live as meeting requirements for data security and compliance. Doing […]
With so many technologies in the modern development ecosystem, a common complaint is having to go through the mental gymnastics of adopting new products and keeping up with ever-expanding feature […]
Failures are inevitable in any system, and there are various options for mitigating them automatically. This is made possible by event-driven applications leveraging Apache Kafka® and built with fault tolerance […]
We are excited to announce that Confluent for Kubernetes is generally available! Today, we are enabling our customers to realize many of the benefits of our cloud service with the […]
Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks, […]
In the world of data engineering, data routing decisions are crucial to successful distributed system design. Some organizations choose to route data from within application code. Other teams hand off […]
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 […]
We’re excited to announce ksqlDB 0.17, a big release for 2021. This version adds support for managing the lifecycle of your queries from CI servers, a first-class timestamp data type, […]
Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for […]
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 […]