Confluent announced a new managed service for Apache Flink that makes it easier for customers to create data streams.
Stream processing is a technology that allows data professionals to utilize data as it arrives, rather than working with stale data that has already been processed. According to Confluent, it is needed for purposes such as fraud detection, predictive maintenance, and real-time inventory and supply chain management.
Flink is typically used to support stream processing workloads, but according to the company, getting started can mean having to deal with issues such as upfront costs, ongoing maintenance efforts, and the complexities associated with it.
Confluent Cloud for Apache Flink allows users to get started quickly with added support from Confluent with integrated monitoring, security, and governance. Offers a 99.999% uptime SLA It is currently available through AWS, Google Cloud, and Microsoft Azure.
“Stream processing allows organizations to transform raw data streams into powerful insights,” said Shaun Clowes, Chief Product Officer at Confluent. “Flink’s high performance, low latency, and strong community make it the top choice for developers for stream processing. “With Kafka and Flink fully integrated into our unified platform, Confluent removes technology barriers and provides the tools necessary for organizations to focus on innovation rather than infrastructure management.”