C++ Code Profiling in Visual Studio: Turn profiler evidence into faster, more scalable C++ applications

Umar Lone

S$148.99

Video Jul 2026 2hrs 11mins 1st Edition

Umar Lone

S$148.99

Video Jul 2026 2hrs 11mins 1st Edition

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Key benefits

Broad profiler coverage across CPU, memory, file I/O, and concurrency behavior in C++ systems
Evidence-centered analysis using timelines, call stacks, snapshots, and detailed report views
Realistic performance cases that connect measured bottlenecks with focused optimization choices

Description

Performance problems are difficult to solve when optimization starts with assumptions rather than measurements. Visual Studio’s profiling tools reveal how native C++ applications use processor time, memory, storage, and threads, helping developers focus on issues that materially affect execution. The learning path covers profiler selection and core report views before moving through CPU Usage, functions, modules, call trees, caller-callee relationships, and flame graphs. It then explores file I/O analysis, memory snapshots, leak detection, diagnostic tools, and the Concurrency Visualizer for single-threaded, multithreaded, and parallel workloads. Realistic examples demonstrate how to read timelines, compare snapshots, trace expensive calls, distinguish CPU-bound work from memory pressure, and recognize locking or scheduling inefficiencies. You will learn to explain performance findings with concrete evidence and avoid premature changes that add complexity without measurable benefit. By the end of this course, you will profile C++ applications confidently and apply targeted optimizations that improve speed, memory use, and scalability.

Who is this book for?

Best suited to C++ developers, performance engineers, software engineers, and technical leads who need to diagnose runtime inefficiencies in Visual Studio. Basic C++ knowledge is expected, along with Visual Studio 2022 and the Concurrency Visualizer plugin. The content benefits anyone optimizing CPU, memory, file I/O, or multithreaded behavior.