C++ vs Go for Backend Services: Memory, Concurrency and Trade-offs

Compare C++ and Go. Explain the main differences between the two languages and when you would choose each one, for example for the backend services this team builds. ```hint Organize by runtime model Compare how each language manages memory, runs concurrent work, reports errors and builds and ships its binaries, then ask what each difference costs or buys a backend service. ``` ### Clarifying Questions - Should the comparison focus on writing backend services, or on systems programming in general? - Which C++ standard should be assumed, since modern C++ (smart pointers, move semantics, coroutines) changes several answers? ### What a Strong Answer Covers - Memory management: manual ownership with RAII and smart pointers versus a garbage collector, and the latency and safety consequences of each - Concurrency: OS threads and library primitives versus goroutines, channels and the runtime scheduler - Language design: the feature-rich C++ (templates, operator overloading, inheritance, exceptions) versus the deliberately small Go (implicitly satisfied interfaces, errors as values, generics added late) - Toolchain and deployment: compile times, build systems, static binaries and cross-compilation - When each is the better choice, with reasons tied to performance, latency predictability and team productivity ### Follow-up Questions - How does the Go scheduler run goroutines on OS threads, and what happens when a goroutine makes a blocking system call? - What do `std::unique_ptr` and `std::shared_ptr` each cost, and when does `shared_ptr` cause problems? - How does Go's escape analysis decide whether a value lives on the stack or the heap, and why does that matter for garbage collection? - Go has no exceptions. How do you propagate and wrap errors, and when is `panic` appropriate?