Modern C++ applications often suffer from performance and memory issues that are difficult to diagnose by code inspection alone. This course provides a practical, hands-on guide to profiling native C++ applications using Visual Studio’s built-in profiling tools, helping you identify real bottlenecks and make data-driven optimization decisions.
You will learn how to use Visual Studio’s CPU Usage, Memory Usage, File I/O, and Concurrency Visualizer tools to analyze application behavior under real workloads. Rather than relying on synthetic examples, the course is built around realistic case studies, including file processing and system-level utilities, so you can clearly see how profiling insights translate into actionable improvements.
The course emphasizes understanding what the profiler is telling you, how to interpret timelines, call stacks, and snapshots, and—just as importantly—how to avoid premature or unnecessary optimizations. You will learn how to distinguish CPU-bound code from memory pressure, recognize when file I/O is not the bottleneck, and identify common performance pitfalls such as excessive allocations, inefficient logging, and poor concurrency design.
