Apache Kafka
Data Products, Data Contracts, and Change Data Capture
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...
Introducing Confluent Cloud Freight Clusters
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.
Contributing to Apache Kafka®: How to Write a KIP
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.
Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2
In this post, the second in the Kafka Producer and Consumer Internals Series, we follow our brave hero—a well-formed produce request—which is on its way to be processed by the broker and have its data stored on the cluster.
How Producers Work: Kafka Producer and Consumer Internals, Part 1
The beauty of Kafka as a technology is that it can do a lot with little effort on your part. In effect, it’s a black box. But what if you need to see into the black box to debug something? This post shows what the producer does behind the scenes to help prepare your raw event data for the broker.
Introducing Apache Kafka® 3.8
We are proud to announce the release of Apache Kafka 3.8.0. This release contains many new features and improvements. This blog post highlights some of the more prominent features. For a full list of changes, be sure to check the release notes.
Building a Full-Stack Application With Kafka and Node.js
A well-known debate: tabs or spaces? Let’s settle the debate, Kafka-style. We’ll use the new confluent-kafka-javascript client to build an app that produces the current state of the vote counts to a Kafka topic and consumes from that same topic to surface them to a JavaScript frontend.
Running Apache Kafka® at the Edge Requires Confluent’s Enterprise-Grade Data Streaming Platform
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...
Solving the Dual-Write Problem: Effective Strategies for Atomic Updates Across Systems
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...
Serverless Decoded: Reinventing Kafka Scaling with Elastic CKUs
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.
Contributing to Apache Kafka®: How to Write a KIP
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.
How to Create a docker-compose.yml File With Kafka Docker Composer
Learn how to create a docker-compose.yml file for Kafka using Kafka Docker Composer. Set up clusters, perform failover testing, and more with this guide.
How to Process GitHub Data with Kafka Streams
Learn how to track events in a large codebase, GitHub in this example, using Apache Kafka and Kafka Streams.
