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Abstract Decision support systems (DSS) are computer technology solutions that helps people make better and more effective decisions than they could without computerized assistance. Technological innovations have a great impact on building powerful DSS and increasing its capabilities. In order to support decision maker effectively with the growing complexity and uncertainty in many decision situations, building a DSS and delivering it to the market have to be faster, with high quality and at a lower cost. Cloud computing is the latest effort in delivering computing resources as services. It represents a new model for information technology solution engineering and management that promises to operate applications with automation, self-service, a higher degree of elasticity, flexibility in payment, and, as result, lower cost. Because of the significant advantages, the number of services and applications hosted in the cloud grows steadily and more enterprises seek to migrate their applications to the cloud Cloud migration involves two main problems/challenges: 1) many applications are not ready to be moved to the cloud, and 2) the vendor lock-in problem; selecting a single-cloud provider and forcing the customer to accept the provider{u2019}s pricing and capabilities. So, this research has two aims; the first aim is to study the migration of DSS as a cloud-native application to fully utilize cloud properties; investigate the possibility of applying cloud-native architecture (microservice architecture) to DSS, and the second aim is to solve the vendor lock-in problem |