Why Serverless Flink Matters - Blazing fast stream processing made scalable

The shift from batch processing to real-time processing of data is accelerating. Building real-time data applications is a necessity for many businesses as customers expect data to be always up-to-date and their apps to react to changes as they happen. However building and productizing real-time applications is often a complex and lengthy process due to limited serverless options to build such apps.

The introduction of AWS lambdas was a watershed moment in the world of cloud computing. It allowed developers to fire up “fully-managed” computer programs while paying for only when the program ran. Serverless compute comes with three big advantages - improved scalability, reduced cost, and increased flexibility. We’re bringing this same powerful paradigm to real time data processing with Flink in Confluent Cloud. Using this model, users can focus on writing business logic instead of managing nodes and other infrastructure.

Attendees will learn the benefits of serverless and see how it fits into the context of stream processing. We’ll then kick off a demo where we’ll focus on a real world production use case that uses Flink jobs to power an application with extremely low latency.