Cloud computing has become increasingly popular among small-scale industries due to its scalability, cost-effectiveness, and flexibility. However, security and performance concerns have been raised, especially with the increasing prevalence of cyber attacks. In this study, we propose and evaluate a specific method for a secure and high-performance cloud-based architecture for small-scale industries. Through a comprehensive literature review, we identify the benefits and challenges of cloud computing for small-scale industries, review existing cloud-based architectures and their limitations, and examine security measures and performance optimization techniques for cloud-based architectures. We then propose a new method for addressing the security and performance issues of cloud-based architectures for small-scale industries. The proposed method focuses on using a multi-layered approach to security, incorporating multiple layers of protection against cyber attacks. It also includes performance optimization techniques, such as resource allocation and load balancing, to ensure that the cloud-based architecture can handle high volumes of traffic and workloads. To evaluate the effectiveness of the proposed method, we implemented it in a cloud-based architecture for a small-scale industry and tested its performance and security under various conditions. Our results demonstrate that the proposed method significantly improves the security and performance of the cloud-based architecture, reducing the risk of cyber attacks and ensuring efficient resource utilization. Overall, this study contributes to the field of cloud computing by proposing a specific method for a secure and high-performance cloud-based architecture for small-scale industries. Our findings have practical implications for small-scale industries considering cloud computing, and our proposed method can be used to enhance the security and performance of existing cloud-based architectures.