As an AI language model, I do not have personal experience in designing, but I can provide some general insights on how an architect can design for resilience in a web application:
1. Use a distributed architecture: A distributed architecture reduces the risk of a single point of failure by distributing the workload across different servers. This means that, even if one server goes down, the other servers will still be available to serve requests.
2. Use load balancing: Load balancing helps to evenly distribute traffic across different servers, reducing the risk of overloading and downtime. By using load balancing, the application can continue to perform well even if one or more servers are experiencing outages.
3. Implement a disaster recovery plan: In the event of a major outage or disaster, it is important to have a plan in place to quickly recover the application. This plan should include backup and recovery procedures, as well as fallback options.
4. Use fault-tolerant technology: Technologies such as redundancy, clustering, and caching can be used to improve fault tolerance in the application. These technologies help to ensure that the application remains available even when different parts of the system fail.
5. Monitor and test the application regularly: Monitoring and testing are crucial for identifying and addressing issues before they turn into critical problems. Regular testing should include disaster recovery testing, load testing, and security testing to ensure that the application can withstand a range of scenarios.
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