The number of concurrent users refers to the number of users who are connected to the server and sending requests at the same time. It is important for the server to maintain stability and good performance in a high-concurrency environment. Increasing the number of concurrent users of a Hong Kong server usually involves optimization in multiple aspects, including hardware, network, server configuration and application optimization.

　　1. Upgrade hardware configuration:

　　Increase memory: Larger memory capacity can support more concurrent users. Make sure the server has enough memory to handle simultaneous user requests.

　　Optimize CPU performance: Consider using a higher-performance CPU, especially a multi-core processor, to increase processing power.

　　2. Optimize server network:

　　High-bandwidth network: Use a higher-bandwidth network connection to ensure that the server can handle a large number of network requests.

　　Use of CDN: Using a content distribution network (CDN) can speed up the loading of static resources and reduce the burden on the server.

　　3. Web server configuration optimization:

　　Use high-performance web servers: Consider using high-performance web servers such as Nginx and Apache, which can handle concurrent requests more efficiently.

　　Adjust the connection pool: Configure the web server connection pool to ensure that the server can effectively handle multiple connections.

　　4. Database optimization:

　　Database index: Optimize database queries and use indexes to improve query efficiency.

　　Database connection pool: Use a database connection pool to reduce the connection pressure on the database.

　　5. Load balancing:

　　Load balancer: Use a load balancer to distribute traffic to multiple servers to improve overall concurrent processing capabilities.

　　6. Caching technology:

　　Page caching: Use page caching technology to reduce the burden on the server to generate pages for each request.

　　Data cache: Use cache to store frequently accessed data and reduce the burden on the database.

　　7. Asynchronous processing:

　　Asynchronous tasks: Use asynchronous task processing to execute some tasks asynchronously without blocking the main thread.

　　8. Optimize front-end resources:

　　Reduce resource size: Optimize front-end resources, including compressed images, compressed CSS and JavaScript files, to speed up page loading.

　　9. Use content caching:

　　CDN caching: Use CDN for content caching, and cache some static content on globally distributed CDN nodes.

　　These suggestions are all considered comprehensively, and the actual results may be affected by specific applications and business scenarios. When optimizing, be sure to proceed with caution and test thoroughly before production.