FAQ
Velvetech’s team runs data validation and reconciliation checks before, during, and after migration to confirm accuracy and completeness. The security measures we use include encryption in transit and at rest, access control reviews, and compliance checks against relevant regulatory standards. We take care of security from the very beginning and build it into the modernization plan.
Approaches range on a spectrum from low-risk to transformative. The most common ones are:
- Rehosting: lift-and-shift to new infrastructure
- Replatforming: moving to a new platform with minimal code changes
- Refactoring: restructuring code without changing external behavior
- Rearchitecting: redesigning the application’s structure for scalability
- Full rebuild: replacing the legacy system entirely
We help you define the right approach, depending on the system’s condition, business risk tolerance, and long-term goals.
There are no concrete timelines as each case varies based on system complexity and chosen approach. For example, a single-component refactor might take a few months, while a full rearchitecture or rebuild of an enterprise system can take a year or more. After a technical audit, we provide a project-specific timeline based on your system’s scope and business priorities.
Application modernization is a narrower approach that focuses on updating the technology and architecture of a specific system. Digital transformation is much broader in scope. It often encompasses modernization as one piece of a larger shift in how a business uses technology, data, and processes to change how it operates and competes.
Based on our experience, common challenges include incomplete documentation of the original system and tightly coupled dependencies that make isolated changes risky. Resistance to change from teams used to the existing workflow is also among the issues companies face. Also, there’s data migration complexity and the need to balance modernization speed against the risk of operational disruption.
AI is mainly applied to accelerate modernization through automated code analysis and documentation generation. Additionally, intelligent test case generation and predictive insights help prioritize which components to modernize first. Post-modernization, AI can also power features like predictive analytics and process automation that legacy apps weren’t built to support.
