The China Academy of Information and Communications recently released the "Top 10 Keywords for 2023 Cloud Computing", which include application modernization, one cloud multi core, distributed cloud, low/no code, software engineering, system stability, cloud native security, cloud optimization governance, cloud access for small and medium-sized enterprises, and supercomputing/intelligent computing services. Keyword 1: Application modernization, cloud native transformation into digital infrastructure, accelerating the development of application modernization. Building modern applications based on cloud computing infrastructure that comprehensively enhance technical architecture, application architecture, data architecture, organizational processes, and user experience has become an important development trend. From a technical perspective, cloud native has become a digital infrastructure. From the perspective of the overall environment, the digital age has triggered significant changes in production and lifestyle. Driven by various factors, cloud based applications need to fully meet the demands of the times and move towards modernization. Keyword 2: One cloud multi core computing brings heterogeneous complexity, and one cloud multi core is an important solution. With the development of deep integration of cloud computing and computing power, factors such as heterogeneous underlying hardware, customer operating systems, and supporting software exacerbate the complexity of the cloud integration process, resulting in the emergence of one cloud with multiple cores. One Cloud Multi Core is a technology architecture that shields the differences in heterogeneous technology stacks and provides a unified cloud computing environment and management methods. It can achieve efficient collaboration among multiple platform environments and provide a new path to ensure the stable operation of business systems. Keyword 3: Multi party demand for distributed cloud drives the evolution of cloud computing towards distributed deployment, and various industries use distributed cloud to accelerate transformation and upgrading. The centralized cloud computing deployment model has been unable to meet the needs of all cloud scenarios. It has expanded cloud capabilities to any location to achieve ubiquitous computing power distribution, flexible and agile deployment, global management scheduling, integrated security protection, meet the needs of business scenarios such as time delay sensitivity, data compliance, large organization branch management, distributed application governance, and promote the development of Digital transformation in government affairs, finance, transportation, manufacturing, energy and other industries. Keyword 4: Low/no code Low/no code drives software programming to become more common, leading the true integration of business and technology. Reducing cost investment, improving the reusability and response speed of technical components, and strengthening the management of enterprise organizational structure are the primary requirements for low/no code in enterprises. With the rise of AIGC, Low/No Code 2.0 will be based on large-scale pre training models, supporting the understanding and generation of development elements such as code, components, and visual operation interfaces, further strengthening the characteristics of low/no code componentization, high reusability, and high flexibility, directly meeting business needs, and greatly improving research and development fluency. Keyword 5: Software engineering: With the increasing scale and diversity of cloud based software development needs, platform engineering has emerged. In the cloud era, a large number of applications are released and deployed with high frequency, and the failure mode is difficult to predict and track. The balance between software delivery speed and Software quality is also increasingly prominent. With the increasing scale and diversity of demand for cloud software development, platform engineering has emerged. Platform engineering is the technical architecture and operational management model of a self-service internal developer platform. By practicing platform engineering, it can reduce the cognitive burden on development engineers, shield the complexity of infrastructure, achieve flexible application expansion and upgrading, improve cloud application performance and security, and