The ATERAS solution for legacy migration and modernization includes a complete strategy, methodology and process for the entire effort, from conception through deployment. The ATERAS DB-Shuttle™ automated technology serves as a platform for organizations to protect legacy assets, reduce maintenance costs, provide agility and flexibility, and enable Service Oriented Architecture (SOA) of business-critical applications.

The ATERAS strategy eliminates the risks, shortens the timeline for modernization, and lowers the cost of the conversion. While the ATERAS strategy minimizes manual intervention during the conversion process, it maximizes the resulting application’s performance, ease of enhancement and extendibility.

ATERAS uses the powerful DB-Shuttle technology for completely automate the assessment process and conversion of databases, data and applications. In addition, ATERAS' modernization and conversion projects are expertly defined and meticulously managed throughout the project lifecycle.

The ATERAS modernization process involves five key phases overseen by a dedicated ATERAS Project Management Team: Assessment, Database and Data Conversion, Application Conversion, Testing, Deployment and Post-Implementation Support.

ATERAS uses its DB-Shuttle automation technology to convert legacy applications and databases to relational technologies and newer, more open languages, using just a few clicks.

Four engines comprise the patent-pending DB-Shuttle technology:

	Project Center tracks all information about each conversion project, including customer information, language targets, naming standards and conversion overrides.
	Navigator performs a rigorous assessment of the collected customer components, including a full inventory and analysis of the component and their inter-dependencies.
	SQL Imager de-constructs the non-relational database and file definitions, interprets the data and key relationships, constructs the new DDL to mirror the legacy database structure, and writes all of the COBOL programs required to extract the legacy data to the format required by the relational load utilities.
	Transporter engine handles the construction of the new applications with their new languages and database access. Depending upon the type of modernization, the application code language may remain the same (COBOL to COBOL) or may change to a completely new language in the target environment.