Modern eventing with CQRS, Redpanda, and Zilla (Part 2)

The second post in a series about simplifying Command Query Responsibility Segregation (CQRS) with Zilla and Redpanda explores how these tools facilitate the implementation of CQRS through a peer-to-peer payment application, StreamPay. This application illustrates the use of event-driven microservices and a Vue.js frontend, leveraging Redpanda for handling commands and queries via Kafka Streams without the need for backend web servers. Zilla provides an HTTP API for managing payments, updates, and streaming APIs to deliver user activity updates. The application processes CQRS commands by mapping HTTP requests to Kafka messages, ensuring secure and validated interactions with JWT tokens, while queries are managed through Server-Sent Events streams. The demo walkthrough guides users through setting up StreamPay using Docker, showcasing real-time command logging with Redpanda Console, and emphasizing the benefits of event-driven architectures for scaling and enhancing web applications.

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