Automation design best practices are essential for improving the quality and safety of automation solutions. Engineers and developers should define clear and realistic goals that align with process objectives and constraints. Following a systematic, iterative design process from conceptualization to deployment, using appropriate tools and methods at each stage, is also key. Additionally, standards and conventions for naming, coding, documenting, and communicating the automation system should be followed for readability, maintainability, and scalability. Security and safety measures such as encryption, authentication, authorization, validation, verification, and testing should also be implemented to protect the system from unauthorized access or misuse. Lastly, performance, efficiency, safety of the automation system should be evaluated and measured; data and feedback can then be collected to identify issues or improve the system. By applying these principles, patterns, and best practices in automation design, complex industrial processes can be handled with high levels of safety and reliability.