Kafka Web Tool

The Kafka Web Tool provides a sandbox environment for modeling Kafka-like streaming interactions. It supports configurable brokers, topics, producers, and consumers, with rate controls and payload format options to mimic real workloads.
Users can simulate single or multi-topic topologies, observe throughput and latency, and iterate on configurations without a running cluster. The tool records produced and consumed counts, latency measures, and lag, presenting them in a consolidated view for analysis. Conceptually, it mirrors a publish/subscribe system where producers write messages to topics and consumers pull from those topics, allowing users to study delivery behavior, partitioning effects, and consumer group dynamics. The core value lies in safe experimentation, rapid validation of design choices, and targeted learning for developers, data engineers, and students. Core features include session-based topology configuration, JSON payload support, per-session metrics, and exportable results for offline review. Use cases range from validating producer settings and batching strategies to exploring consumer lag under varying load patterns and topic configurations.