Architecture Optimization

Through elastic computing, networking, and database-related IaaS/PaaS cloud resources performance optimization, a good performance tuning foundation can be provided for users in the cloud environment. In the actual architecture, deployment, and operation and maintenance process, users usually use the application performance optimization running in the cloud environment as the measurement goal. Application architecture level architecture optimization needs to consider multi-faceted content according to the actual situation, such as the following:

• Application architecture deployment method: Using a standalone, distributed, and microservice architecture, there will be significant differences; standalone architecture depends on the software and hardware performance of the standalone itself and the application's use of standalone resources; the distributed architecture not only depends on standalone performance bottlenecks but also depends on system performance bottlenecks; microservice architecture service splitting efficiency and service call efficiency are another significant influence factor.

• Programming language implementation: Implementing with different programming languages will affect the standalone baseline to some extent. Compiled languages such as C/C++ do not need to be re-translated at runtime, and they run directly using the compiled machine code. They do not rely on an interpreter, and program execution efficiency is high. However, interpreted languages like Python, Ruby, etc., only translate programs into machine code during runtime, and every execution depends on the interpreter's translation. While increasing fl