Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Scaling C++ applications

Scaling C++ applications refers to optimizing and expanding C++ code bases to handle increased workloads and accommodate growing user demands. It involves analyzing performance bottlenecks, identifying areas of improvement, and implementing scalable solutions such as parallelization, distributed computing, and load balancing. By scaling C++ applications, developers can ensure that their software can efficiently handle larger data volumes, higher user concurrency, and increased processing demands, resulting in improved performance and a better user experience.

Horizontal scaling in C++

Horizontal scaling in C++ involves distributing a workload across multiple machines or instances to handle increased demand or achieve better performance. This can be achieved through techniques such as load balancing and distributed computing.

In a horizontally scaled C++ application, different instances or nodes can handle other parts of the workload concurrently. This...