C++ Code Profiling in Visual Studio
Explore how to use Visual Studio’s profiling tools to analyze C++ application performance, including CPU usage, memory allocation, and concurrency behavior.
Course Description
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.
By the end of the course, you will be able to confidently profile C++ applications, explain performance issues using concrete evidence, and apply targeted optimizations that improve performance, memory usage, and scalability—without guessing.
Features
2-hrs On Demand Video
Exclusive 1-on-1 With Instructor
Course Completion Certificate
Priority Q/A
Full Lifetime Access
Community Access
Curriculum
Understand in detail on what is planned under each module
Why Do This Course
Move from intuition-based optimization to evidence-driven performance analysis
Learn how to effectively use Visual Studio’s profiling tools for native C++ applications
Accurately identify CPU, memory, file I/O, and concurrency bottlenecks
Interpret profiler data correctly and avoid common misdiagnoses
Apply targeted optimizations that improve performance without unnecessary complexity
Requirements
- Basic knowledge of C++
- Visual Studio 2022 with Concurrency Visualizer plugin
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Instructor
- Hello! I'm Umar Lone
I've educated and mentored students and professionals globally, leveraging over 20 years of experience in C++, Object-Oriented Programming, Design Patterns, and related technologies. My professional background includes significant contributions to C++, Java, and C# projects with esteemed companies, alongside providing specialized project consultation & mentoring.
My current focus is on delivering comprehensive video courses that distill this extensive knowledge. I specialize in transforming intricate concepts into clear, practical, and actionable insights, supported by real-world examples. This approach is designed to equip you with the necessary clarity and confidence for sustained growth and impactful contributions within your projects and career trajectory.
Begin your learning journey with me now and unlock the advanced understanding and practical expertise essential for making a significant impact in your field.
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