Modern cloud-based applications often utilize microservices for their scalability and flexibility, but this approach can introduce architectural challenges such as service discovery, communication protocols, logging, configuration management, and security. To address these issues, event-driven architecture (EDA) is proposed as a solution, leveraging asynchronous data flow to reduce service coupling and enhance resilience. The tutorial illustrates how to implement EDA using Redpanda and Spring Boot to transform a coffee shop's ordering system from a request-driven to an event-driven model, thereby improving scalability and fault tolerance. By utilizing Kafka for inter-service communication, the system can handle increased workloads and prevent order loss without altering existing operational rules. This transition demonstrates EDA's efficacy in managing microservices, ensuring that orders are processed efficiently even if individual service instances are temporarily unavailable.