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.
Rebalancing comes into play in Apache Kafka® when consumers join or leave a consumer group. In either case, there is a different number of consumers over which to distribute the partitions from the topic(s), and, so, they must be redistributed and rebalanced....
It can be easy to go about life without thinking about them, but requests are an important part of Apache Kafka; they form the basis of how clients interact with data as it moves into and out of Kafka topics, and, in certain cases, too many requests can have a negative impact on your brokers...
We are pleased to announce the release of Confluent Platform 7.3. This release accelerates mainframe modernization and unlocks data from legacy systems, increases efficiency while further simplifying management tasks for Apache Kafka® operators, and makes it easier for developers to...
This blog post explores the need to implement security for your Apache Kafka® cluster, then briefly reviews the security features and advantages of using Confluent Cloud.
When you encounter a problem with Apache Kafka®—for example, an exploding number of connections to your brokers or perhaps some wonky record batching—it’s easy to consider these issues as something to be solved in and of themselves...
Learn how to build an end-to-end motion detection and alerting system using Confluent Cloud, Kafka clusters, and ksqlDB.
Announcing the complete guide to Schema Registry. In our course, you’ll learn the basics, like how schema registry works, key concepts, how to manage schemas, and more!
Joining two topics to aggregate the data is one of the fundamental operations in stream processing. But that's not to say that it's simple. Let me show you what can go wrong!
We are excited to announce the ksqlDB 0.28.2 release as well as new cloud-specific improvements! This release simplifies the getting started experience, helps to run and monitor critical pipelines
Properly designing your events and event streams is essential for any event-driven architecture. Precisely how you design and implement them will significantly affect not only what you can do today
Our latest set of Confluent Cloud product launches is live and packed full of new features to help businesses innovate faster and more confidently with our real-time data streaming platform. […]
Data pipelines are critical to the modern, data-driven business, connecting a network of data systems and applications to power both operational and analytical use cases. With the need to promptly […]
We are proud to announce the release of Apache Kafka® 3.3 on behalf of the Apache Kafka community. The 3.3 release contains many new features and improvements. This blog post […]
As part of our recent Q3 Launch for Confluent Cloud we announced the general availability of the Confluent Terraform Provider. HashiCorp Terraform is an Infrastructure as Code tool that lets […]