Edge computing has become an essential element in the cloud-to-thing continuum, connecting centralized cloud infrastructures with dispersed Internet of Things (IoT) devices. This chapter examines the interaction of cloud, edge, and IoT systems, emphasizing the significant influence of edge computing on data processing, latency minimization, and resource optimization in linked ecosystems. This chapter analyzes significant trends, challenges, and opportunities, emphasizing how edge computing enables real-time data processing at the source, hence diminishing dependence on centralized cloud systems and alleviating bandwidth limitations and latency-sensitive applications. The discourse addresses the architectural tenets of the cloud-to-thing continuum, emphasizing the amalgamation of edge nodes with cloud platforms and IoT networks to provide uninterrupted data flow and system compatibility. It also analyzes the function of edge computing in improving security, privacy, and energy efficiency, while addressing difficulties such as scalability, orchestration, and resource allocation. Case studies in areas such as smart cities, healthcare, and industrial automation demonstrate the practical uses of edge computing, highlighting its potential to transform these industries. The chapter concludes with insights into emerging technologies, such as edge AI, federated learning, and the integration of 5G/6G, which are set to enhance the edge computing landscape.