Why do we need to take timing into account?

Timing is a key metric for evaluating how efficiently a program runs. By considering timing, we can identify bottlenecks, reduce latency, and improve user experience. For example, if a search algorithm takes seconds to return results for a large dataset, users may abandon the application. Optimizing the algorithm to run in milliseconds can increase engagement and reduce server costs. Timing also informs decisions about scaling, caching, and resource allocation. In distributed systems, consistent timing ensures that services respond within acceptable windows, preventing cascading failures. Therefore, timing is essential for performance tuning, cost management, and delivering reliable, responsive software.