Our application migration and re-engineering services help our clients transit their mission critical application from legacy platforms to current, state-of-the art technologies, using our proven methodology, best practices and tools. We add value by providing contemporary, web- based graphical user interface for modernizing legacy with our in-depth knowledge of emerging technologies and third party tools.
By migrating your legacy products from older legacy technologies, to new state-of-the-art platforms, your custom software products will benefit from improved integration capabilities, faster acceptance in the market and increased scalability. Our loosely coupled and test driven development approach leaves ample scope for applications to evolve in future without breaking current functionality and in cost effective manner.
Migration services portfolio includes:
- VB to VB.NET\C#
- ASP to ASP.NET\MVC Framework
- C or C++ to .NET
- PB, Progress, ColdFusion to .NET
- Client Server to N-TIER\MVC pattern
- Legacy to Web Services or SOA ( Service Oriented Architecture)
- Legacy to Web Enablement
- To latest SQL Server versions
- ORACLE TO MS SQL Server
- To MySQL\mongoDB
Operating System Migration
- DOS to Windows
- Legacy to Windows
We help you revaluate the needs of our customers, re-architect product according to those requirements and develop it using new, modern technologies that will enhance your customers’ experience. Turn to our engineers for an expert “tune-up” your product—helping maximize performance while improving stability and usability.
- Proven and well defined methodology and best practices in migration and re-engineering
- Emphasis on Tool based approach to significantly reduce the effort and the cost. Further effort reduction is achieved by utilizing the components from our Re-usable Components Library.
- Modern, Responsive and Consistent User Interface
- Qualified and Experienced programmers and managers with migration tools and process expertise
- Iterative — module by module — approach where the lessons learned from one iteration are applied to the next.