Technology

In this edition, we’ll have a look at creating Kafka Streams topologies—exploring the dependency injection and design principles with Spring Framework, while also highlighting some syntactic sugar of Kotlin that makes for more concise and legible topologies.

This blog post talks about Confluent’s newest enhancement to their fully managed connectors: the ability to assume IAM roles.

At a high level, bad data is data that doesn’t conform to what is expected, and it can cause serious issues and outages for all downstream data users. This blog looks at how bad data may come to be, and how we can deal with it when it comes to event streams.

The blog post provides a comprehensive overview of the Flink Table API, demonstrating how it enables developers to express complex data processing logic using Java or Python in a user-friendly manner. It also includes practical examples and guidance, making it a valuable resource for anyone...

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.

We covered so much at Current 2024, from the 138 breakout sessions, lightning talks, and meetups on the expo floor to what happened on the main stage. If you heard any snippets or saw quotes from the Day 2 keynote, then you already know what I told the room: We are all data streaming engineers now.

We’re excited to announce Early Access for Confluent for VS Code. This Visual Studio integration streamlines workflows, accelerates development, and enhances real-time data processing, all in a unified environment. This post shows how to get started, and also lists opportunities to get involved.

The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses...

If you are a developer looking for an easier way to test your apps on topics with schemas, this is for you! Now you can easily create a message with a topic schema directly from the Confluent Cloud Console, with built-in validation and error checking.

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.

With AI model inference in Flink SQL, Confluent allows you to simplify the development and deployment of RAG-enabled GenAI applications by providing a unified platform for both data processing and AI tasks. Learn how you can use it to build a RAG-enabled Q&A chatbot using real-time airline data.

62% of Confluent Cloud clusters run on AWS. Meanwhile, hundreds of thousands of customers are using DynamoDB. This blog explains how the connector helps customers integrate both platforms together.

Since launching our first cloud connector in 2019, Confluent’s fully managed connectors have handled hundreds of petabytes of data & expanded to include over 80 fully managed connectors, custom connectors, and private networking. Discover popular connectors, SMTs, and use cases on Confluent Cloud...

Been searching far and wide for examples of Spring Boot with Kotlin integrated with Apache Kafka®? You’ve found it. But not just an example with unstructured data or no schema management. Not here! We’re going all the way with Stream Governance in Confluent Cloud. Let’s get into it.