Confluent introduces totally managed model of Apache Flink


Confluent has simply introduced a brand new managed service for Apache Flink to assist make it simpler for purchasers to create information streams.

Stream processing is a know-how that permits information professionals to make the most of information because it arrives as an alternative of engaged on older information that has already been processed. It’s wanted for makes use of like fraud detection, predictive upkeep, and real-time stock and provide chain administration, in line with Confluent.

Flink is often used to assist stream processing workloads, however in line with the corporate, getting began can imply coping with challenges comparable to upfront prices, ongoing upkeep efforts, and needing to cope with the complexities related to it. 

Confluent Cloud for Apache Flink will allow customers to get began shortly with added assist from Confluent by way of built-in monitoring, safety, and governance. It contains a 99.999% uptime SLA and is at the moment obtainable by way of AWS, Google Cloud, and Microsoft Azure. 

“Stream processing permits organizations to remodel uncooked streams of knowledge into highly effective insights,” stated Shaun Clowes, chief product officer at Confluent. “Flink’s excessive efficiency, low latency, and robust group make it your best option for builders to make use of for stream processing. With Kafka and Flink totally built-in in a unified platform, Confluent removes the technical boundaries and supplies the mandatory instruments so organizations can give attention to innovating as an alternative of infrastructure administration.”


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