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Simple, Serverless Stream Processing with Confluent Cloud for Apache Flink®
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Available On-demand
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.
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
Eager for more Flink? Check out this teaser for the next issue of our comic book The Data Streaming Revolution. The adventure continues as our heroes are tasked with figuring out a way to do real-time stream processing that’s efficient, manageable, and cost effective.
