Simple, Serverless stream Processing with Confluent Cloud for Apache Flink®

Stream processing plays a critical role in the data streaming infrastructure stack, enabling developers to dynamically filter, join, aggregate, and transform data streams to support real-time applications and streaming data pipelines. Apache Flink® is emerging as the de facto standard for stream processing due to its performance and features, but self-managing it, like other open source tools such as Apache Kafka®, can be challenging due to operational complexity, steep learning curve, and high in-house support costs. Confluent Cloud for Apache Flink®, now generally available across all three major cloud service providers and backed by our 99.99% uptime SLA, enables simple, serverless stream processing that’s accessible and easy to use for everyone. Our goal is to empower users to easily build high-quality, reusable data streams with the industry’s only cloud-native, serverless Apache Flink service, fully integrated with Apache Kafka on Confluent Cloud. In this webinar, you’ll get a detailed overview of what’s new with our fully managed Flink service. You’ll also see a technical demo that incorporates all of the latest Flink enhancements on Confluent Cloud, including Actions, Stream Lineage integration, and more.