Digital twins are virtual representations of physical objects, systems, or processes that mirror their real-world counterparts in real-time. These digital counterparts continuously interact with APIs to provide or retrieve data, creating a bridge between the physical and digital worlds. Organizations across industries are investing in digital twin technology to gain visibility into how assets are performing, access control capabilities, data analysis, predictive maintenance, simulation and testing, and remote monitoring. The implementation of digital twins requires careful planning across several dimensions, including data requirements and collection methods, platform selection, integration with existing systems, security considerations, and addressing challenges and limitations. Digital twin technology has various industry applications, such as manufacturing, smart cities, energy, and aerospace, where it can help optimize efficiency, quality, and resource allocation.