China Institute of Information and Communications recently released the "Top Ten Keywords of Cloud Computing in 2023", namely application modernization, one-cloud multi-core, distributed cloud, low/no code, software engineering, system stability, cloud native security, cloud optimization governance, small and medium-sized enterprise cloud access, and supercomputing/intelligent computing services.

　　Keyword 1: Application modernization

　　Cloud native becomes a digital infrastructure, accelerating the development of application modernization. Building modern applications that comprehensively improve technical architecture, application architecture, data architecture, organizational processes and user experience based on cloud computing infrastructure 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 a huge change in production and lifestyle. Driven by a variety of factors, applications with cloud as the base need to fully meet the demands of the times and move towards modernization.

　　Keyword 2: One Cloud Multi-core

　　Computing and cloud convergence brings heterogeneous complexity, and One Cloud Multi-core is an important solution. With the deep integration of cloud computing and computing power, heterogeneous underlying hardware, customer operating systems and supporting software have aggravated the complexity of the computing and cloud integration process, and one cloud and multiple cores have emerged. Yiyun Multi-core is a technical architecture that shields heterogeneous technology stack differences and provides a unified cloud computing environment and management method. It can achieve efficient collaboration of multiple platform environments and provide a new path to ensure the stable operation of business systems.

　　Keyword 3: Distributed cloud

　Multiple demands promote the evolution of cloud computing to distributed deployment, and various industries use distributed cloud to accelerate transformation and upgrading. The centralized cloud computing deployment model can no longer meet the needs of all cloud scenarios, expanding cloud capabilities to any location, realizing ubiquitous distribution of computing power, flexible and agile deployment, global management and scheduling, and integrated security protection, meeting the business scenario needs of delay sensitivity, data compliance, management of large-scale organizational branches, distributed application governance, and promoting the digital transformation and development of various industries such as government affairs, finance, transportation, manufacturing, and energy.

　　Keyword 4: Low/No code

　　Low/No code promotes the popularization of software programming and leads the true integration of business and technology. Reducing cost investment, improving the reuse of technology components and demand response speed, and strengthening enterprise organizational structure management are the primary needs of enterprises for low/no code. With the rise of AIGC, Low/No Code 2.0 will be based on large pre-trained 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 reuse, and high flexibility, directly reach business needs, and greatly improving R&D fluency.

　　Keyword 5: Software Engineering

　　The demand for cloud software research and development is becoming increasingly large and diverse, and platform engineering has emerged. In the cloud era, a large number of applications are released and deployed at high frequency, failure modes are difficult to predict and track, and the balance between software delivery speed and software quality is becoming increasingly prominent. With the increasing scale and diversity of cloud software research and development demand, platform engineering has emerged. Platform engineering is the technical architecture and operation management model of a self-service internal developer platform. Through practical platform engineering, it can reduce the cognitive burden of development engineers, block the complexity of infrastructure, realize flexible expansion and upgrading of applications, improve cloud application performance and security, and ultimately improve R&D efficiency and achieve rapid and high-quality delivery.

　　Keyword 6: System stability

　　The cloud system stability guarantee has huge challenges, and SRE (site reliability engineering) provides a "stability and security" methodology. As a practical method with resilience as the core, SRE can provide best practices for system stability guarantee in cloud environments. By focusing on system resilience, automation, fault management and cross-team cooperation, SRE can support pre-fault prevention, in-fault discovery and positioning, post-fault stop loss and optimization, helping to build and maintain a stable and resilient system in the cloud environment.

　　Keyword 7: Cloud native security

　　Cloud security is accelerating its evolution to cloud native security, focusing on full-stack security with application as the core. After years of development, Cloud Native has achieved high-quality and large-scale implementation. Cloud Native has innovated the cloud software architecture and application construction model, and building a new security protection system for cloud native has become a necessity to ensure cloud security; at the same time, cloud native immutable infrastructure, orchestration, elastic and agile technical advantages are also empowering traditional security, helping to deeply integrate security with infrastructure and business applications, and cloud native security has become the best path for cloud security protection. The cloud-native security technology ecosystem is becoming more and more mature, focusing on full-stack security protection with application as the core.

　　Keyword 8: Cloud optimization governance

　　The connotation of cloud optimization governance is constantly enriching, accelerating the cost reduction and efficiency increase of enterprises. As the core business of enterprises gradually goes to the cloud, the usage of cloud resources and the complexity of architecture continue to increase, and enterprises face optimization governance challenges such as cloud cost management and resource governance. As the demand for enterprises continues to expand, the concept, technology, tools and ecology of cloud optimization governance have been comprehensively developed, supporting the construction of enterprise cloud optimization governance capabilities, accelerating the reduction of costs and efficiency of enterprises, and further releasing the value of cloud computing.

　　Keyword 9: Small and medium-sized enterprises go to the cloud

　The country attaches great importance to small and medium-sized enterprises going to the cloud, and small and medium-sized enterprises are the main force in using clouds. In the digital development, small and medium-sized enterprises mainly face pain points such as dispersed business data, low automation level, high personalized demand, limited construction budget and lack of technical talent reserves. They urgently need to use cloud to improve the interconnection and low-cost customized development capabilities of information systems. SaaS services have become the main choice for small and medium-sized enterprises to use clouds, and the "one-stop" model lowers the threshold for small and medium-sized enterprises to use clouds.

　　Keyword 10: Supercomputing/intelligent computing services

　　Cloud computing promotes the service and universalization of computing resources, and supercomputing/intelligent computing services accelerate the development of the industry. With the development and maturity of cloud computing technology, it has gradually promoted the intelligent computing/supercomputing services toward task delivery through resource delivery, realized the provision of computing resources in the form of cloud services, and promoted the universalization and ubiquity of intelligent computing/supercomputing services. Against the backdrop of the continuous expansion of the scale of smart computing, many service scenarios for applying smart computing have emerged, including smart transportation, smart medical care, smart cities and smart manufacturing, and smart computing services have become the "catalyst" for the development of many industries. High-end and sophisticated fields, mainly in the fields of aerospace, national defense, climate modeling and petroleum exploration, rely on the services provided by supercomputers to continue to develop and progress, and supercomputing services have become a "barometer" for measuring the development of cutting-edge fields. (Author Ke Wen)