Migrating workloads to the cloud is an essential form of transformation in the new era of disruption, as it demands a great effort and commitment to reach a cultural change in the organization.
Migrating applications and workloads to the cloud for operational, exploratory, experimental purposes allows organizations to scale to a level that gives them agility, innovation, and many other benefits such as cost reduction, operational efficiency, enhanced human capital and productivity.
It is the simplest and most common method of all migration options. Applications move to the cloud without any code modification or architecture redesign. This is a quick solution for organizations to reduce their on-premises physical infrastructure costs as soon as possible and start generating cloud exploration and adoption. However, in this scenario organizations typically do not benefit from elasticity as a cloud-native feature. Fortunately, while in the cloud organizations have different mechanisms, tools and services that allow them to redesign, optimize and therefore evolve their applications to a more competitive model.
The success of new digital initiatives mostly depends on adopting a new model of designing, building, and deploying modern applications on scalable, resilient, high-performance, and cost-efficient architectures based on deployable microservices on container, as well as a rapid and continuous release of new application features through DevOps practices.
Many of our customers take advantage of our strong philosophy of an optimal service in IT operations, through best practices, standards and human talent that are required as a Managed Service Provider (MSP). This helps to make the transition in a gradual and evolving way towards a model of management, control, and operation of the IT platform. Our main purpose is to drive and support all our customers to achieve their goals in a more agile and efficient way, by focusing all their effort and resources towards the real mission of their business.
As an MSP we promote trust and commitment, so we become your strategic business partner, rather than a simple service provider.
The new data integration practices in the cloud are the basis for the different types of strategies such as Cloud Data Warehouse, Business Analytics, Data Lakesamong others. These practices lead to a better understanding and visibility of the data to gather useful and valuable information for intelligent decision making.
Data integration begins with the extraction process and is complemented by data cleansing, duplication, transformation, and data loading processes. A unified and consistent result of all these interactions results in a highly reliable data, based on accuracy, integrity, and consistency.
Working with organizations from different sectors that rely on Oracle JD Edwards EnterpriseOne and Oracle E-Business Suite for their operations, has given us more than 20 years of experience in modeling, designing, and deploying architectures of both applications under the Oracle Architecture Reference Framework (ORA).
As a result of the continuous changes in the IT world, we consolidate this experience with the use of methodologies for deploying, updating, migrating, and managing of workloads of Oracle cloud-based applications, which enables our customers to use AWS as a platform for those business solutions in productive, non-productive environments, and other types of scenarios such as disaster recovery that complement their IT architectures.