Step 1: Install Podman (if needed)

Check Podman installation:

podman --version

If not installed, get Podman from official instructions

Step 2: Pull MongoDB Image

Fetch MongoDB Community Server image:

podman pull docker.io/mongodb/mongodb-community-server:latest

Step 3: Verify Image

Confirm MongoDB image:

podman images

Step 4: Run MongoDB Container

Choose:

Option 1: No Volume (Data won't persist)

podman run --detach --name todoDB -p HOST_PORT:27017 docker.io/mongodb/mongodb-community-server:latest

Replace HOST_PORT with your preferred port number (e.g., 3000).

Option 2: With Volume (Data persists)

podman run --detach --name todoDB -p HOST_PORT:27017 -v /path/to/host/data:/data/db docker.io/mongodb/mongodb-community-server:latest

Replace HOST_PORT with your preferred port number (e.g., 3000).

Understanding Port Mapping:

• Use -p HOST_PORT:27017 to map a port on your machine to port 27017 in the container.
• For example, -p 3000:27017 maps port 3000 on your machine to port 27017 in the container.

Your MongoDB server is accessible at mongodb://localhost:HOST_PORT from your Node.js application using Mongoose or any MongoDB client.

Volume vs. Non-Volume in MongoDB with Podman

Choose wisely:

Non-Volume Approach:

• Data stored in container.
• Lost if container removed.
• For quick tasks, testing, or learning.

Volume Approach:

• Data stored outside container.
• Persists even if container removed.
• Recommended for development, production-like scenarios, or staging.

Choosing:

• Use Non-Volume: Quick tasks or learning.
• Use Volume: Persistent data needs.

Your choice depends on your use case. Your data, your decision