Legacy System Modernization

Database Modernization & Migration

A comprehensive database migration strategy that moves from legacy commercial databases to modern open-source or cloud-native solutions. This approach includes schema conversion, data migration with zero downtime, query optimization, and comprehensive testing to ensure data integrity and performance improvements.

Complexity: Complex 21-34 effort units 5-8 weeks
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Project Milestone & Feature Breakdown

3
Project Milestones
9
Features
30
Total Effort Units
1

Schema Conversion & Optimization

Convert database schemas from Oracle/SQL Server to PostgreSQL and optimize for target platform

10 pts 1-2 weeks 3 Features

Schema Translation

4 pts Medium

Convert tables, indexes, constraints to PostgreSQL syntax with analysis tooling

Stored Procedure Refactoring

4 pts Complex

Migrate or rewrite stored procedures, triggers, and functions

Schema Optimization

2 pts Medium

Optimize schema design for performance in PostgreSQL

Deliverables
  • Converted database schema
  • Migrated stored procedures
  • Performance optimization documentation
2

Data Migration Execution

Execute data migration with validation and integrity checks

12 pts 2-3 weeks 3 Features

Initial Data Migration

4 pts Medium

Bulk transfer historical data to target database

Incremental Data Synchronization

5 pts Complex

Set up real-time or batch sync during cutover period

Technical Details: CDC or dual-write pattern for synchronization

Data Integrity Validation

3 pts Medium

Automated validation of data completeness and accuracy

Deliverables
  • Migrated database with all data
  • Data validation reports
  • Synchronization tools
Dependencies
  • Schema conversion must be completed first
3

Application Layer Updates

Update application code to work with new database

8 pts 1-2 weeks 3 Features

Query Refactoring

3 pts Medium

Update SQL queries and ORM configurations for new database

Connection Pool Configuration

2 pts Simple

Optimize database connection pooling and settings

Performance Testing

3 pts Medium

Load testing and query performance validation

Deliverables
  • Updated application code
  • Performance test results
  • Connection pool configuration

Technical Stack

PostgreSQL MongoDB AWS DMS Debezium (CDC) Liquibase/Flyway pgBouncer JMeter Docker

Key Considerations

Zero-downtime migration strategy to avoid service interruptions

Data integrity validation at every migration phase

Performance optimization for new database platform

Rollback plan in case of migration issues

License cost savings vs. migration investment

Success Criteria

All data migrated with 100% accuracy

Zero data loss during migration

Query performance equal or better than legacy system

Application functioning normally on new database

Successful rollback testing completed

Related Use Cases

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Monolith to Microservices Migration

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Complex

Cloud Migration Strategy

34-55 effort units 8-12 weeks
Complex

ETL Pipeline Development

21-34 effort units 5-8 weeks

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