NoSQL Best Practices

Follow these best practices to get the most out of your NoSQL database and avoid common mistakes.

Data Modeling

✓ Model for Your Access Patterns

Design your schema based on how you'll query the data, not on normalized principles

✓ Embed Related Data When Appropriate

If data is always queried together, embed it in the same document

✓ Use References for Large or Frequently Updated Data

Avoid duplicating large datasets that change often

Performance Optimization

Index Strategically

Create indexes for frequent queries, but don't over-index (impacts write performance)

Monitor Query Performance

Use explain plans to identify slow queries and optimize them

Implement Caching

Use Redis or Memcached for frequently accessed data

Batch Operations

Group multiple writes together to reduce network overhead

Security

  • Enable authentication and use strong passwords
  • Implement role-based access control (RBAC)
  • Encrypt data at rest and in transit
  • Regularly update database software
  • Use network firewalls and IP whitelisting
  • Never expose your database directly to the internet

Backup & Recovery

Regular Backups

Automate daily backups with point-in-time recovery capabilities

Test Restoration

Regularly test your backup restoration process

Multi-Region Replication

For critical data, replicate across multiple regions

Scaling

Horizontal Scaling Tips:

  • Choose appropriate shard keys (even distribution)
  • Monitor shard balance and rebalance when needed
  • Plan for future growth in your sharding strategy
  • Consider geographic distribution for latency

Monitoring & Observability

  • Track key metrics: query performance, connection counts, resource usage
  • Set up alerts for anomalies
  • Log slow queries for analysis
  • Monitor replication lag in distributed systems
  • Use profiling tools to identify bottlenecks

Development Practices

Schema Validation

Even without strict schemas, validate data at the application level

Version Control Your Schema Changes

Use migration scripts to manage schema evolution

Document Your Data Model

Maintain clear documentation of collections, fields, and relationships

Golden Rule

There's no one-size-fits-all approach. Choose patterns based on your specific use case, and be willing to adapt as requirements evolve.