Kafka Streams Topology Builder Lets Developers Visualize and Run Pipelines Visually

A new approach to building Kafka Streams topologies allows developers to design processing pipelines on a visual canvas by dragging and wiring nodes such as source, mapValues, filter, and sink operators. The tool connects to a schema registry to automatically resolve Avro serializers and deserializers, enabling schema-aware field completions when writing transformation expressions. Developers can write mapValues logic using Spring SpEL, with completions drawn directly from the registered schema fields, while downstream nodes like filter can reference computed fields inferred from prior steps. Live records pulled from the actual topic flow through a preview, giving real-time feedback on how data transforms across the topology. The goal is to close the gap between sketching a stream-processing idea and having a fully runnable, wired topology without boilerplate build and serde configuration.