The author emphasizes the importance of breaking down applications into smaller, loosely coupled microservices that work together. They discuss the challenges of inter-services communication models and highlight the need for a robust system to manage state and events between services. The author recently adopted Redis Streams as a solution for managing microservices communication at scale, citing its benefits such as easy implementation of pub-sub patterns, support for time-series data, Active-Active capabilities, simple deployment, and in-memory processing. They demonstrate how to create an event store using Redis Streams by building an e-commerce application with multiple microservices that use the system to communicate events asynchronously. The author uses Redis Streams to model their domain model, separating commands from queries and utilizing Sets to store entity IDs and Hashes to represent data structures. They highlight the flexibility of Redis data structures and their ability to adapt to various data models, making it an attractive choice for enterprise-ready applications.