Migration to the public or private cloud is not an easy task. Cloud migration is a process by which any organization or company shifts its resources, data, and applications to the cloud platform. Well, shifting to a completely different environment is not an easy task.
It is very important to look at each step of cloud migration as the implementation is done in phases. There are many advantages of the structured and process-oriented approach to migration but no much efforts across the industry have been put to long-standing customer plan and make the strategy for top revenue earner of all time.
During the process of migration, there are chances that some of the useful functionalities can be lost. Having done the augmentation, we will be testing and validating components of enterprise applications on the cloud. The results of testing can be positive or mixed.
It is best to first iterate through the Seven-Step model process for optimizing and migration is both comprehensive and robust. The seven stages of migration are outlined below.
Assessment is the first step of a seven-step model of cloud migration and also it is the most important of all the other steps. It includes assessment of issues and reasons related to migration and understanding the need to shift your technology and software on the cloud platform. This migration can be of application, design, code and architecture level.
This is the most important and as migration starts with an assessment of the issues and strategies related to the migration. The assessment can be of tools being used, test cases as well as functionalities and configurations. The assessment can also be about the cost of migration and ROI (Return on Investment) that can be achieved in the case of the production version.
In the second step of migration into the cloud environment, there is the isolation of all environmental and systematic dependencies of an enterprise application within the captive data center. The dependencies include the library, application and architectural.
This step helps in better understanding of the complexity of the cloud migration. This step helps in isolation of runtime environment, applications dependencies, libraries dependencies and much more. Isolation of all the components is necessary to make the system more reliable and atomic.
After complete isolation, the third step is to generate the mapping constructs between what data shall remain in the local captive data centers and what shall be shifted to the cloud. It is very important to first understand what exactly you need to shift on the cloud platform as there is no sense of shifting all the data and applications on the cloud environment.
This is the fourth step in cloud migration which includes understanding which part of the application is generally needed to be sifted and what not.
Moreover, a substantial part of enterprise application is generally needed to be shifted as it is to be rearchitected, reimplemented and redesigned on the cloud. There are also chances that in this step of cloud migration process, some of the useful functionalities can be lost initially but later all of them can be regained.
Augmentation of cloud computing application is done in this application. In this, we leverage the intrinsic features of services of a cloud to augment our enterprise application in its own ways.
After augmentation is complete, the applications needed to be tested and validated. This is done using a test suite for the applications on the cloud. The test results can be both positive and negative. In this step of cloud migration, new test cases due to augmentation and proofs-of-concept are also tested.
Optimize and Iterate
In this last step of cloud migration, we iterate and optimize as appropriate. After several other optimizing iterations, the migration process is successful. It is best to first iterate the seven-step model process for optimizing and ensuring that cloud migration is both robust and comprehensive.
This seven-step model of cloud migration is used by small business for migrating their resources and applications to the cloud platform.