Debugging in C++ Technology: How to debug in cloud and server environments

Debugging C code in cloud and server environments is challenging, but there are ways to help: Remote debugging: Use tools like GDB to connect to a program on a remote machine. Logging: Place cout statements or use third-party libraries to log debugging information. Breakpoints and watchpoints: Stop execution and trace variables. perf tool: Analyze performance and memory usage. Docker containers: Provide an isolated and portable sandbox environment.

Debugging in C: Practical Practice in Cloud and Server Environments

Debugging C code in cloud and server environments can be challenging , since there is no direct access to the code. However, there are some powerful tools and techniques that can help you overcome these challenges.

Remote Debugging

Remote debugging allows you to debug a program running on a remote computer in your local IDE. To do this, use a debugger such as GDB and [configure it to connect to the remote target](https://sourceware.org/gdb/wiki/RemoteConfig).

Using Logging

Logging is a great way to diagnose errors and track application behavior. Place cout statements in critical code paths or use a third-party logging library such as spdlog to log debugging information and help you understand the root cause of the problem.

Using breakpoints and watchpoints

Breakpoints can stop execution at specific locations in the program, while watchpoints can track variables or expressions. These tools can help you drill down into your code and pinpoint the problem as soon as it occurs.

Use the perf tool

The perf tool is a powerful analysis tool provided in Linux that can help you understand the performance and memory usage of your application. Use the perf tool to identify bottlenecks and find potential errors in your code that are causing problems.

Using Docker Containers

Docker containers provide isolation and a portable sandbox for running applications. Use Docker containers to debug code in a consistent and controlled environment, regardless of infrastructure.

Practical case

Using GDB for remote debugging

Consider the following GDB configuration for remote debugging on the server (IP For a C program running on 192.168.1.100):

(gdb) target remote 192.168.1.100:2222
(gdb) break main
(gdb) run

Use spdlog for logging

Suppose you want to log the function compute_average() Input and output values:

#include <spdlog/spdlog.h>

double compute_average(const std::vector<double>& data) {
  ...
  spdlog::info("Input data: {}", data);
  spdlog::info("Output average: {}", average);
  ...
}

Using perf to check for performance issues

To identify time-consuming functions, run the following command:

perf record -g ./my_program
perf report --sort=time

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