Coping with large-scale traffic access is a key challenge in cloud server operation and maintenance, especially for some popular websites, applications or activities. Here are some strategies for dealing with large-scale traffic:

　　Load balancing: Use a load balancer to distribute traffic to multiple servers to ensure that each server can receive an appropriate amount of requests. This helps prevent a single server from being overloaded and improves overall performance and stability.

　　Auto Scaling: Set an automatic elastic scaling policy to dynamically increase or decrease the number of servers according to changes in traffic. This ensures adequate resources during peak periods and avoids unnecessary costs during off-peak periods.

　　CDN acceleration: Use content distribution network (CDN) services to cache static resources (such as images, style sheets, scripts, etc.) to nodes around the world, reducing the burden on the source server and accelerating user access speeds.

　　Cache optimization: Make reasonable use of the cache mechanism to cache some infrequently changing pages or resources into memory or disk, reduce requests to the database and server, and improve response speed.

　　Distributed database: If the application requires frequent access to the database, consider using a distributed database system to share the pressure of reading and writing the database. This can be achieved through technologies such as database sharding and master-slave replication.

　　Emergency page: When the server faces excessive pressure, you can set up a simplified, emergency page that only contains core information to replace the complete page to ensure that users can still obtain basic services during high traffic times.

　　DDoS protection: Deploy a powerful DDoS (distributed denial of service) attack protection mechanism to prevent malicious attacks from causing server unavailability.

　　Network bandwidth optimization: Consider using higher-bandwidth cloud server instances to ensure that the server's network connection can handle large-scale concurrent requests.

　　Performance optimization: Perform performance optimization on server-side code and database queries to ensure good response speed under high traffic conditions.

　　Monitoring and early warning: Set up a monitoring system to monitor the status of the server and network in real time. When the traffic reaches a certain threshold, an early warning is issued in time so that timely measures can be taken.

　　Taking the above strategies into consideration, you can better cope with large-scale traffic access and ensure that the server can still provide stable and fast services during high traffic times.