Best Practices

Follow these industry standards and best practices to ensure your MongoDB deployment is secure, performant, and scalable.

1. Performance & Indexing

• Always use Indexes: Never perform queries without an index on large collections.
• Use Projections: Only return the fields you need (e.g., .find({}, { name: 1, email: 1 })).
• Sort with Indexes: Ensure your sort fields are included in your indexes for faster results.
• Limit Results: Always use `.limit()` when fetching large datasets to prevent memory overflow.

2. Security

• Never use Default Ports: Change the default port (27017) to something else if possible.
• Enable Authentication: Never run MongoDB without a username and password.
• Network Isolation: Use Firewalls or VPCs to restrict access to your database to only your application servers.
• Avoid "Root" User: Create specific users with limited privileges for your applications.

3. Data Modeling

• Data that is accessed together should be stored together: Use embedding when possible to avoid `$lookup`.
• Avoid "Over-Embedding": Don't let your documents grow indefinitely (Max 16MB). Use referencing for growing data like logs or comments.
• Choose correct Data Types: Use Date objects for dates, Decimals for money, and Integers where appropriate.

4. Operational Tips

• Connection Pooling: Reuse database connections instead of opening/closing them for every request.
• Monitoring: Use MongoDB Atlas's built-in monitoring or tools like New Relic to track performance.
• Regular Backups: Always have a backup strategy (Atlas handles this automatically).