Core Viewpoint - The company, Hand Information (300170), reports a gradual recovery in industry prosperity, supported by strong client relationships and stable business conditions [1] Industry Summary - The current industry sentiment is improving, with a notable increase in IT budgets, particularly in digitalization and AI applications, which are now integral to daily operations and business strategies [1] - State-owned enterprises are showing a significant upward trend in budget allocations due to business development needs and government policy encouragement [1] Company Summary - The company maintains a robust risk resistance capability and is confident in achieving its annual revenue and profit targets despite facing challenges [1] - There is a notable increase in demand for AI, with active business opportunities and order volumes, enhancing the company's confidence in its AI business segment [1] - Looking ahead to next year, advancements in domestic chips and computing power in the AI sector are expected to provide better cost and technical support, leading to improved industry conditions [1]

Group 1 - The company is currently focused on distribution activities for surgical robot products and is not engaged in research and manufacturing [1] - There are no recorded research and development expenses for medical brain-machine interfaces and humanoid robots [1] - The existing research funding is primarily invested in the digitalization of medical device distribution, including business systems, data platforms, and SPD information systems [1]

Group 1 - The company is a key unit in the central and state-owned enterprise reform, focusing on medical surgical robots [2] - Currently, the company mainly engages in distribution activities for surgical robot products and does not conduct research and development or manufacturing [2] - There are no recorded research and development expenses for medical brain-machine interfaces and humanoid robots [2] Group 2 - The existing research and development funds are primarily invested in the digitalization of medical device distribution, including business systems, data platforms, and SPD information systems [2]

Group 1 - The company is currently focused on distribution activities for surgical robot products and does not engage in research and manufacturing [1] - There are no recorded research and development expenses related to medical brain-machine interfaces and humanoid robots [1] - The existing research funding is primarily invested in the digitalization of medical device distribution, including business systems, data platforms, and SPD information systems [1]

Group 1 - The company is currently focused on distribution activities for surgical robot products and does not engage in research and manufacturing [1] - There are no recorded research and development expenses related to medical brain-machine interfaces and humanoid robots [1] - The existing research funding is primarily invested in the digitalization of medical device distribution, including business systems, data platforms, and SPD information systems [1]

Core Viewpoint - The article discusses strategies for handling a sudden surge in traffic, specifically a 100-fold increase in requests per second (QPS), emphasizing the importance of a multi-faceted approach to ensure system stability and performance [5][30]. Group 1: Emergency Response Phase - Implementing rate limiting to protect the system by discarding excess requests [7][8]. - Utilizing circuit breaker and degradation strategies to prevent service avalanche effects in distributed systems [9][14]. - Employing elastic scaling and message queues to manage high concurrency during peak traffic events [15][16]. Group 2: Analysis of Traffic Surge - Analyzing the source of the traffic spike to determine if it is due to legitimate promotional activities or anomalies such as bugs or malicious attacks [17][19]. Group 3: Robust Design and System Enhancement - Horizontal scaling and microservices architecture to distribute load and improve throughput [20][21]. - Database sharding and connection pooling to handle increased database load and prevent connection bottlenecks [23][24]. - Implementing caching mechanisms to enhance system performance under high concurrency [25]. Group 4: Testing and Validation - Conducting stress tests to identify system bottlenecks and ensure the system can handle maximum concurrent requests [27][28]. - Utilizing tools like LoadRunner and JMeter for performance testing [29]. Group 5: Conclusion - The article concludes with a reminder to prepare for potential failures at any stage of the system design and to have fallback plans in place [31][33].