Core Viewpoint - The withdrawal of Akamai from the Chinese market signals a shift towards localized internet infrastructure and raises concerns about dependency on foreign technology providers [3][10][14]. Industry Summary - Akamai, a leading global cloud acceleration service provider, will cease operations in China by June 30, 2025, marking a significant strategic withdrawal [3][4]. - The company is not reducing its services but is completely cutting off its supply to China, indicating a serious shift in its operational strategy [5][10]. - Despite Akamai's size and technological leadership, it is no longer irreplaceable, as China has developed its own content delivery network (CDN) ecosystem with major players like Tencent Cloud and Alibaba Cloud [7][8][9]. Company Summary - The official reason for Akamai's exit is vague, described as a "strategic adjustment," but it reflects a broader trend of decoupling due to increasing compliance costs and geopolitical tensions [10][11]. - The withdrawal of Akamai is part of a larger pattern where foreign tech companies are reassessing their operations in China, influenced by stricter data regulations and the need for risk mitigation [11][12]. - The shift from a globally interconnected network to a more regionally autonomous structure is evident, with a focus on local control over digital infrastructure [12][13]. Future Implications - The exit of Akamai serves as a wake-up call for the industry, emphasizing the need for self-reliance in critical digital infrastructure and the importance of having control over key technological components [14][15]. - This situation presents an opportunity for the industry to enhance its capabilities, such as developing proprietary CDN systems and investing in edge computing [16]. - The crisis induced by Akamai's withdrawal may drive the industry towards necessary upgrades and innovations, reinforcing the importance of domestic technological sovereignty [15][16][17].

Core Points - The article discusses the architecture and technology choices for social applications, emphasizing the importance of selecting the right frameworks and services for development [5][8][9]. Group 1: Frontend Development - The frontend of a social app consists of mobile (iOS/Android) and web applications, utilizing frameworks like React.js, Vue.js, and Angular for single-page applications [3][5]. - Mobile app development can be native (using Swift for iOS and Kotlin for Android) or cross-platform (using React Native, Flutter, uni-app, or Taro), each with its own advantages and disadvantages [6][8]. Group 2: Backend Development - The backend handles business logic, data storage, user authentication, and API interfaces, with popular frameworks including Spring Boot for Java, Django for Python, and Express.js for Node.js [9]. - Java is noted for its high performance and stability, making it suitable for large-scale applications, while Python offers rapid development capabilities for smaller projects [9]. Group 3: Database and Storage Solutions - Relational databases like MySQL and PostgreSQL are commonly used for structured data, while NoSQL databases like MongoDB and Redis are preferred for unstructured data and high-speed access [9]. - Object storage services from providers like Alibaba Cloud and Tencent Cloud are essential for managing user-generated content such as images and videos [9]. Group 4: Cloud Services and Compliance - For the Chinese market, compliance with local regulations, including ICP filing and app registration, is crucial, along with the selection of domestic cloud service providers like Alibaba Cloud and Tencent Cloud [8]. - The article highlights the importance of integrating third-party SDKs for functionalities like instant messaging and content moderation, with a focus on local providers [8][9]. Group 5: Development Tools and Technologies - The use of message queues (e.g., Kafka, RabbitMQ) and search engines (e.g., Elasticsearch) is recommended for system decoupling and enhancing user experience through personalized content [9]. - Containerization technologies like Docker and Kubernetes are suggested for efficient application deployment and management [9].