You can start from the following aspects:
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Vertical expansion: By increasing the CPU, memory, hard disk and other hardware resources of a single server, the performance and capacity of the server can be improved, which can reduce the response time and increase the throughput.
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Horizontal expansion: Add more servers to process requests and distribute the load among multiple servers, thereby improving the capacity and performance of the system.
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Load balancing: Distribute traffic to multiple servers, make full use of the resources of multiple servers, and improve the carrying capacity of the system.
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Database optimization: Improve the performance and response speed of the database and reduce the impact of the database on the system by optimizing the database design, index and query statements.
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Cache optimization: By using technologies such as caching, hot data and calculation results are cached to quickly respond to requests and reduce system overhead.
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Asynchronous processing: Put time-consuming tasks into asynchronous threads for processing, release the main thread, and improve the system's concurrency capability.
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System monitoring: monitor system status in real time, discover system abnormalities and bottlenecks in time, and adjust system configuration and optimization schemes.
The realization of a high-concurrency system requires comprehensive consideration of multiple aspects, adoption of effective technical means and optimization schemes, and continuous optimization and adjustment in order to ensure the stability and scalability of the system.