Edge computing has emerged as a crucial aspect of modern business operations, enabling faster processing, reduced latency, and improved security by bringing computing power closer to where data is generated. To design and implement effective edge computing systems, businesses rely on reference architectures that encapsulate key features and design considerations such as time sensitivity, network bandwidth, security, and operational continuity. Various organizations have proposed different edge computing reference architectures, including the Industrial Internet Reference Architecture (IIRA), FAR-EDGE Reference Architecture, and Edge Computing Reference Architecture 2.0, which can be used as a starting point or inspiration for businesses looking to adopt edge computing solutions. Fauna, a distributed general-purpose database, interacts well with these architectures and can help simplify their implementation, enabling faster data storage, retrieval, and processing at ultra-low latencies.