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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.
Deploying Apache Kafka at the edge brings significant challenges related to scalability, remote monitoring, and high management costs. Confluent’s enterprise-grade data streaming platform addresses these issues by providing comprehensive features that enhance Kafka’s capabilities, ensuring effici...
The post discusses the Dual-Write Problem in distributed systems, where atomic updates across multiple systems like databases and messaging systems (e.g., Apache Kafka) are challenging, leading to potential inconsistencies. It outlines common anti-patterns that fail to address the issue...
Apache Kafka® has become the de facto standard for data streaming, used by organizations everywhere to anchor event-driven architectures and power mission-critical real-time applications.
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.
The Kafka-Docker-composer is a simple tool to create a docker-compose.yml file for failover testing, to understand cluster settings like Kraft, and for the development of applications and connectors.
Learn how to track events in a large codebase, GitHub in this example, using Apache Kafka and Kafka Streams.
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!
As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise. In many large, complex enterprises, this organic growth
Learn how to interact with the librdkafka library when sending and how to handle errors correctly. Take a deepdive into the internal mechanics of the library.
Stepping into the world of Apache Kafka® can feel a bit daunting at first. Get started with the top resources for beginners to start building your first Kafka application!
Apache Kafka 3.6 is here! This release includes Tiered Storage (Early Access), the ability to migrate clusters from ZooKeeper to KRaft with no downtime, the addition of a grace period to stream-table joins, & more!
Ever dealt with a misbehaving consumer group? Imbalanced broker load? This could be due to your consumer group and partitioning strategy!
Learn about the role of batch.size and linger.ms in data compression.
Is Windows your favorite development environment? Do you want to run Apache Kafka® on Windows? Thanks to the Windows Subsystem for Linux 2 (WSL 2), now you can, and with fewer tears than in the past.