Calculated Conversations: Low-Latency C++ Optimization Secrets, with Herik Lima (Senior C++ Engineer)

Senior C++ Engineer Herik Lima discusses why C++ is unmatched for fine-grained control, the impact of custom memory allocators on server performance, and the best practices for writing maintainable, high-performance code.

C++ is the choice for low-latency systems, but are you making the right optimizations? In this edition of Calculated Conversations, we dive into the mind of Herik Lima, a Senior C++ Software Engineer with over 13 years of experience building high-performance systems for industries like trading, gaming, and network optimization. Herik’s expertise in low-latency development is unmatched, particularly when it comes to optimizing C++ for speed and performance. In our conversation, Herik shares insights on how C++ stands out for its fine-grained control over memory and hardware, how he made advanced C++ education more accessible with C++ MasterClass, and the surprising impact of simple changes…

You have built high-performance systems for trading, gaming, and network optimization. In your view, what makes C++ the language of choice for low-latency development, and where do most developers misstep when trying to optimize for speed?

C++ is unmatched when it comes to fine-grained performance control. It allows you to operate close to the hardware, managing memory, instructions, and even data alignment. Most developers go wrong by jumping into micro-optimizations without understanding the real cost of abstractions. They often overlook memory allocation, cache misses, or misuse data structures that do not fit the workload.

With C++ MasterClass, you are making advanced C++ education more accessible. What are some common myths or misconceptions you see about learning and mastering modern C++?

A common myth is that you need to master everything in C++ to be productive. That pushes beginners away. Another is the belief that modern C++ is harder than the old C++, when in fact, features like auto, range-based loops, smart pointers, and RAII make code safer and cleaner. The key is focused, practical learning, not trying to memorize the entire language.