Event-driven architectures have become popular for building scalable service-oriented architectures and microservice-based systems, providing a valuable tool to have in your toolbox. They are suitable when you need to design and build a loosely coupled system that enables components to grow, scale, and fail independently. Event-driven architectures enable asynchronous messaging, allowing producers and consumers to send messages without waiting for responses, reducing latency and improving scalability. They also make it easier to build loosely coupled systems, eliminate the need for direct inter-process communication, and improve fault tolerance. However, they can be challenging due to complexities such as deciding how much information to include in events, dealing with asynchronous communication overhead, ensuring delivery guarantees, and idempotency. Event-driven architectures are well-suited for data analytics applications and platforms, providing a robust solution for building loosely coupled, fault-tolerant, and scalable systems.