Best practices for developing C++ applications with Docker

Docker is a popular tool used for containerization, which can greatly simplify the deployment and management of applications. When it comes to developing C++ applications, using Docker can help create a consistent and reproducible development environment. In this article, we will explore some best practices for developing C++ applications with Docker.

1. Use a Suitable Base Image

When building a Docker image for your C++ application, it’s important to choose a suitable base image. Consider using an image that provides a Linux distribution with necessary development tools and libraries pre-installed, such as gcc and cmake. This will save you time and effort in setting up the development environment.

Here’s an example Dockerfile using the ubuntu:latest base image:

FROM ubuntu:latest

RUN apt-get update && apt-get install -y \
    build-essential \
    cmake

# Copy your C++ application source code
COPY . /app

WORKDIR /app

# Build your application
RUN cmake .
RUN make

{#cplusplus #docker}

2. Utilize Multi-stage Builds

For production deployments, it’s best to keep the final Docker image as minimal as possible. To achieve this, you can use multi-stage builds. This involves using separate build stages in your Dockerfile, where the final stage only contains the necessary artifacts of your application. This helps reduce the image size and ensures that only the required dependencies are included.

FROM ubuntu:latest AS builder

RUN apt-get update && apt-get install -y \
    build-essential \
    cmake

COPY . /app
WORKDIR /app
RUN cmake .
RUN make

FROM ubuntu:latest

COPY --from=builder /app/myapp /usr/bin/myapp

CMD ["myapp"]

{#cplusplus #docker}

In the example above, the first stage builds the C++ application, and the final stage only includes the compiled binary. This reduces the size of the final image and eliminates unnecessary build dependencies.

3. Mount Source Code as a Volume

During development, it’s often convenient to have the ability to make changes to your C++ application code and see the changes reflected immediately without rebuilding the Docker image. To achieve this, you can mount your source code as a volume in the Docker container.

docker run -v /path/to/app:/app <image> <command>

This command mounts the local directory /path/to/app to the /app directory inside the container. Any changes made to the source code will be immediately reflected in the running container.

4. Enable Debugging

When developing C++ applications, debugging is an essential part of the process. To enable debugging, make sure your Docker image contains the necessary debug symbols, such as -g flag during compilation. Additionally, ensure that you expose the required ports for debugging and configure your development environment to connect to the running container for debugging purposes.

Conclusion

In this article, we discussed some best practices for developing C++ applications with Docker. By using suitable base images, multi-stage builds, mounting source code as a volume, and enabling debugging, you can streamline your development workflow and create reliable and scalable C++ applications. Incorporating these practices will save time, improve collaboration, and make your development process more efficient.

#cplusplus #docker