Oracle launches new service “Oracle Cloud Lift Service” to support cloud migration for free

On March 31, Oracle launched a new service, the Oracle Cloud Lift Service, to help new and existing customers migrate to the cloud for free. This includes technical tools and engineering resources, and will be part of a wide range of efforts to accelerate the growth of the company’s cloud infrastructure business. Vinay Kumar, senior vice president of engineering at Oracle Cloud, said the Cloud Lift Service was developed for customers facing a variety of obstacles that could hinder cloud migration. It’s common for companies to forgo moving to the cloud because their IT team doesn’t have the skills they need, it takes too long to migrate, and migrating critical applications is too risky. “Customers need proactive support to use Oracle Cloud more seamlessly,” Kumar said. Cloud Lift Service guides customers “from the conceptual stage to the production environment.” .. Oracle engineers can help customers decide which applications to move to the cloud, build those applications, perform proof-of-concept (PoC), provide on-site migration support, and provide cutover assistance. Once the workload is in production, Oracle will then assist in training on best practices so that employees of the enterprise have the expertise to operate the environment. “Because we do it on behalf of the enterprise, the results are more predictable.” “Use proven tools and processes for the applications that the enterprise cares about,” Kumar said. There are no clear restrictions on the workloads that customers can migrate through Service. Oracle will work with each of its customers to determine if their needs are suitable for this program. Oracle believes that the program will support six major workloads. Specifically, packaged Oracle applications (such as PeopleSoft, Siebel, and JD Edwards), custom applications built on Oracle Database, high-performance computing (HPC) workloads, and cloud natives. Applications, VMware-centric applications, and finally data warehouse and analytics workloads.