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System Profiling

System profiling is the process of analyzing and measuring the performance characteristics of a computer system, application, or code to identify bottlenecks, resource usage patterns, and optimization opportunities. It involves collecting data on CPU usage, memory allocation, disk I/O, network activity, and other metrics to understand how a system behaves under various conditions. Profiling tools help developers and system administrators diagnose performance issues, improve efficiency, and ensure applications meet performance requirements.

Also known as: Performance Profiling, Code Profiling, Application Profiling, Perf, Prof
🧊Why learn System Profiling?

Developers should learn system profiling when building performance-critical applications, optimizing existing systems, or troubleshooting slowdowns in production environments. It is essential for identifying memory leaks, CPU-intensive operations, and I/O bottlenecks in web servers, databases, game engines, and scientific computing applications. By using profiling, developers can make data-driven decisions to enhance scalability, reduce latency, and improve user experience, particularly in resource-constrained or high-traffic scenarios.

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