Database migrations are among the riskiest operations in software development. Done wrong, they can cause data loss or extended downtime. As CTO of Softechinfra, I've led dozens of production migrations. Here's how to do them right.
Planning Your Migration
Assessment Phase
Understand your current state:
- Schema complexity
- Data volume
- Current performance
- Dependencies
Migration Strategies
Technical Approaches
Schema Migrations
Data Migration Tools
ETL tools and approaches our development team uses:
- Database-native tools (pg_dump, mysqldump)
- AWS DMS, Azure DMS
- Custom scripts for complex transformations
- Debezium for CDC
Risk Mitigation
Backups
- Full backup before starting
- Tested restore procedure
- Point-in-time recovery option
- Off-site copies
Rollback Plan
- Document rollback steps
- Test rollback procedure
- Define triggers
- Time limits
Common Pitfalls
- Insufficient testing - Always test with real data volumes
- Underestimating time - Add 3x buffer to estimates
- Ignoring dependencies - Map all connected systems
- Poor communication - Keep stakeholders informed
- No rollback plan - Always have an exit strategy
For more on infrastructure, read our Serverless Architecture Guide.
Planning a Database Migration?
Our team has safely migrated databases of all sizes, from startups to enterprise. From schema design to production cutover, we ensure zero data loss.
Get Free Consultation →See our database work in Radiant Finance and MereKisan projects.