Migration & Re-engineering

Migration moves applications to new environments with minimal changes (lift-and-shift). Re-engineering (or modernization) involves redesigning application architecture, rewriting code, updating technology stack, and improving functionality. Migration is faster and lower risk but doesn’t address technical debt. Re-engineering takes longer but results in modern, maintainable applications leveraging current best practices. Our bespoke software developers assess each situation and recommend the optimal approach – sometimes hybrid strategies combining both migration and selective re-engineering deliver the best results.

Risk mitigation includes comprehensive assessment and planning, detailed migration strategy, thorough testing in staging environment, rollback procedures, phased migration approach, data validation and integrity checks, parallel running of old and new systems, user acceptance testing, and post-migration monitoring. Our enterprise software development company uses proven migration methodologies, automated migration tools where applicable, and extensive testing to ensure successful transitions. We maintain backups at every stage and have contingency plans for unexpected issues.

We migrate to modern technology stacks including cloud platforms (AWS, Azure, Google Cloud), modern languages (from COBOL/Mainframe to Java, .NET, Python, Node.js), contemporary frameworks (React, Angular, Vue.js for frontend), microservices architectures, containerized deployments (Docker, Kubernetes), and modern databases (PostgreSQL, MongoDB, cloud databases). Our computer software development company has experience migrating from various legacy platforms to contemporary technology while preserving business logic and data. Technology selection depends on your specific requirements and future goals.

Timeline varies significantly based on application complexity, data volume, technology gap, and migration strategy. Simple migrations (3-6 months), Medium complexity migrations with some re-engineering (6-12 months), Large enterprise migrations (12-24+ months). Factors include code volume, database size, integration complexity, custom code extent, and testing requirements. Our software development & consulting provides realistic timelines after thorough assessment. We use phased approaches allowing partial migrations to production, reducing overall project risk and delivering value incrementally.

Yes, cloud migration is a core service. We migrate on-premises applications to cloud (AWS, Azure, Google Cloud), migrate between cloud providers, implement hybrid cloud architectures, and optimize cloud deployments. Our approach includes cloud readiness assessment, migration strategy (rehost, replatform, refactor), data migration, application testing, cutover execution, and post-migration optimization. We help organizations leverage cloud benefits including scalability, cost optimization, global availability, and managed services while ensuring security and compliance.

Database migration includes schema migration, data migration, stored procedure conversion, query optimization, application code updates, performance tuning, and validation. We migrate from legacy databases (Oracle, SQL Server, DB2) to modern cloud databases (Aurora, Cosmos DB, Cloud SQL), NoSQL databases (MongoDB, DynamoDB), or upgraded versions. Our software development companies in USA expertise includes zero-downtime migrations using replication, data validation at every stage, performance optimization, and post-migration support to ensure database reliability and optimal performance.

Post-migration support includes hypercare period with intensive monitoring, issue resolution, performance optimization, user support and training, documentation updates, and transition to regular software maintenance services. We provide dedicated support teams during critical post-migration period (typically 3-6 months), gradually transitioning to standard maintenance. Our software maintenance support services ensure migrated applications perform optimally, users adapt successfully, and any post-migration issues are resolved quickly. We continue optimization based on real-world usage patterns.