ОСОБЛИВОСТІ СИСТЕМИ АВТОМАТИЗАЦІЇ ПРОЦЕСІВ ПОБУДОВИ ГІБРИДНОЇ ІНФРАСТРУКТУРИ З ПЕРЕНЕСЕННЯМ ВСІХ КОНФІГУРАЦІЙНИХ ДАНИХ

Abstract

The main features of the automated system development for synchronizing user data and various aspects of the Exchange Server infrastructure are discussed in the article. The system must make an inventory of the existing environment, make reports, accept data of the enterprise wishes and independently configure the components involved in user migration. The system must also restore all user settings that existed before the migration. It is the description of the automation of the building a hybrid infrastructure processes with the transfer of all configuration data and subsequent automatic configuration of the data migration path in a large enterprise with a distributed infrastructure of data centers. The automation of step-by-step migration is considered, namely: automation of building a hybrid infrastructure based on Microsoft Exchange Server and Office 365. In terms of the method of transfer from the local system to the cloud, "export / import" is used to migrate data policies and configurations that do not change often. User data that is migrated by another system is used but not developed. An automated system designed to automate the transfer of data from the local infrastructure in the Exchange Server environment. The software product has a functionality that automates almost all the work on the analysis of local infrastructure and further configuration of the cloud part, which minimizes the impact of the human factor on the success of projects. There is also a module that defines the wishes of the business on the conditions of migration, which allows you to dynamically detect the path of data migration. All data, collected during infrastructure analysis, as well as system user data, is exported by Microsoft Exchange to external media files as CSV files to be used by other modules and as TXT (HTML if required) for a tabular report that analyzed by staff. This kind of development allows many large companies to avoid the problems connected with the complex process of migrating global local infrastructure parameters to the cloud environment and improves the process of enterprise data analysis with subsequent automatic management of data migration in IT environments with complex network infrastructure. Time for pre-migration work is significantly reduced, as well as the probability of mistakes, made by staff, is reduced.