Automated workflow that capture, clone, mask and re-provision production data to create test data sets for test/dev environment for software development life cycle.

There is always a need for an improved software development life cycle that is faster, secure and cost-effective. With unprecedented demand and competition, frequency of software releases are like never before. To achieve quality and result oriented outcome, a proper testing strategy is critical. An effective strategy includes many components, test data management (TDM) is one among them. 

It is important that test data is highly available and easily refreshable to improve the software release cycle. It is also highly challenging that TDM meets regulations like GDPR (General Data Protection Regulation). Test data is not limited to production data, synthetic datasets that are required for testing should be part of test data sets. Hence TDM involves multiple phases. 

Data Cloning: Data is captured from the production environment and stored as images in TDM environment which are readily available for cloning. Data cloning is an instant operation as the production data sets are locally available.