3.9 KiB

Raw Blame History

MongoDB Development with Dev Containers

⚠️ BETA: The devcontainer setup is currently in Beta stage. Please report issues and feedback to the team.

📚 Documentation Index

This is the comprehensive guide for developing MongoDB using Dev Containers. Choose the guide that best fits your needs:

🚀 Getting Started

Start here if you're new to devcontainers or MongoDB development

Prerequisites and system requirements
Step-by-step setup instructions
First-time configuration
Verifying your setup

🏗️ Architecture & Technical Details

Understand how the devcontainer works under the hood

Container architecture overview
Dockerfile breakdown
Volume management and persistence
Toolchain installation process
VS Code integration details
Feature system explained

🔧 Troubleshooting

Having issues? Check here for solutions

Common problems and fixes
Performance optimization
Platform-specific issues (macOS, Windows, Linux)
Docker provider comparison
Debugging tips

💡 Advanced Usage

Power user features and customization

Customizing your devcontainer
Working with multiple containers
Remote execution with EngFlow
Custom toolchain versions
Integration with CI/CD
Extending with additional features

❓ FAQ

Quick answers to common questions

Why use devcontainers?
Named volumes vs bind mounts
Updating the container
Data persistence
And more...

Quick Links

VS Code Documentation

MongoDB Documentation

What are Dev Containers?

Dev Containers provide a consistent, reproducible development environment using Docker containers. This ensures:

✅ Consistency: Everyone works with identical tooling and dependencies
✅ Isolation: Your host system stays clean
✅ Portability: Develop from any machine with Docker
✅ Quick Setup: Get started in minutes, not hours

Benefits for MongoDB Development

The MongoDB devcontainer provides:

Pre-configured Build Environment: All build tools, compilers, and dependencies ready to use
MongoDB Toolchain: Specific GCC/Clang versions required for building MongoDB
IDE Integration: VS Code settings optimized for C++, Python, JavaScript, and Bazel
Persistent Caching: Build artifacts and Python environments preserved across sessions
EngFlow Support: Built-in support for remote execution and caching

System Requirements

Docker: Allocate as much RAM as possible to Docker (leave ~4-8 GB for host OS)
CPU: Allocate as many cores as possible to Docker (leave 1-2 for host OS)
Disk Space: 60+ GB recommended for container, tools, and build artifacts
VS Code: Latest version with Remote - Containers extension
Operating System:
- macOS (ARM64 or x86_64)
- Windows 10/11 with WSL2
- Linux (x86_64 or ARM64)

Getting Help

Documentation Issues: Open an issue or PR in the MongoDB repository
Devcontainer Problems: Check Troubleshooting Guide
General Questions: See FAQ

Ready to get started? → Follow the Getting Started Guide

3.9 KiB Raw Blame History