Architecture clarity can be adapted to performance requirements by:
1. Identifying performance goals: The first step is to identify the performance goals that need to be achieved. This could include response time, throughput, latency, scalability, availability, and more.
2. Designing for performance: Once the performance goals are identified, the architecture should be designed with performance in mind. This could involve caching, load balancing, partitioning, and other performance-oriented techniques.
3. Testing and tuning: Once the architecture is in place, it's important to test and tune it for performance. This could involve load testing, stress testing, and measurement and analysis of metrics such as CPU usage, memory usage, and response time.
4. Continuous monitoring: Once the system is in production, it's important to continuously monitor its performance to ensure it meets the performance goals and identify any performance issues that may arise.
By adapting architecture clarity to performance requirements, organizations can ensure that their systems are designed to perform optimally, meet their performance goals, and provide a positive user experience.
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