Developers can significantly improve edge computing by prioritizing code optimization for resource-constrained environments, ensuring applications run efficiently with minimal power and memory consumption. A critical aspect is developing and implementing robust security protocols to safeguard distributed edge nodes and sensitive data against various cyber threats. Focusing on efficient data synchronization and management solutions is also essential to maintain data consistency and integrity between the edge and the cloud. Moreover, embracing containerization and orchestration technologies streamlines the deployment, scaling, and management of edge applications, reducing operational complexities. Finally, designing and deploying AI/ML models optimized for edge inference enables real-time decision-making directly at the data source, greatly enhancing responsiveness and overall performance. More details: https://ontest.wao.ne.jp/n/miyagi/access.cgi?url=https://www.epi-us.com/