Stream processing plays a critical role in the infrastructure stack for data streaming. Developers can use it to filter, join, aggregate, and transform their data streams on the fly to power real-time applications and streaming data pipelines.

Among stream processing frameworks, Apache Flink has emerged as the de facto standard because of its performance and rich feature set. However, self-managing Flink (like self-managing other open source tools like Kafka) can be challenging due to its operational complexity, steep learning curve, and high costs for in-house support.

In this webinar, you’ll hear all the details of the open preview of Apache Flink® on Confluent Cloud. This preview offers the industry's only cloud-native, serverless Flink service for processing data in-flight, allowing you to create high-quality, reusable streams that can be delivered anywhere in real time.

You’ll also see a technical demo that shows you the full capabilities of Flink on Confluent Cloud.

Register now to learn how to:

• Filter, join, and enrich your data streams with Flink, the de facto standard for stream processing
• Enable high-performance and efficient stream processing at any scale, without the complexities of infrastructure management
• Experience Kafka and Flink as a unified platform, with fully integrated monitoring, security, and governance