As an AI language model, I cannot have preferences on design, but I could provide some ways to design for fault tolerance in mobile app:
1. Distributed Architecture: Distributed architectures can ensure that a single point of failure does not cause the entire system to crash. This can be achieved by distributing different components of the app across various servers, thereby providing redundancy and minimizing the risk of crashes.
2. Scalable Infrastructure: Designing for scalability can also help mitigate the risk of crashes. A scalable infrastructure can seamlessly handle increased traffic and user load, thereby minimizing the impact of any faults or crashes.
3. Load Balancing: Load balancing can distribute the workload across different servers, ensuring that no single server becomes overwhelmed and prone to crashes.
4. Fallback Mechanisms: Fallback mechanisms can provide backup systems that can step in if the primary system fails. This can include using redundant servers, rerouting requests to other servers, or even switching to offline mode if necessary.
5. Error Handling and Logging: Proper error handling and logging can help identify and resolve issues quickly, even before they become significant enough to cause crashes. This can include error reporting, crash analytics, and automated recovery mechanisms.
6. Testing and Debugging: Testing and debugging are essential components of designing for fault tolerance. Rigorous testing can help discover issues earlier in the development process, while debugging can help resolve any issues that do arise.
By implementing these strategies, architects can design mobile apps that are fault-tolerant and can help provide users with a seamless experience even in the face of technical difficulties.
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