Post by account_disabled on Mar 4, 2024 8:28:44 GMT
A network management or security, and thus requires extensive knowledge. Data migration takes place most often in the following contexts: storage – data is moved, for example, from local disks to network storage ( NAS, SAN ), to the cloud or from HDD to SSD ; database - with the end of database system support comes the question of upgrading to a newer version. Frequent problems with availability are solved by moving to the cloud , and to reduce server maintenance costs, the logical choice is to migrate to DBaaS- type services , where the provider takes care of routine operations.
Application – the reason for migration is often outdated hardware USA Phone Number List or frequent malfunctions. Since migration always involves high costs in this case, the future development of the application is also taken into account. The usual choice is then the microservices architecture , which, however, requires modification of the application to work properly in a high-availability environment, such as a Kubernetes cluster ; servers and data centers (infrastructure) – migration of servers and network infrastructure to another location can take place physically or by moving to the cloud.
Each of the above-mentioned types of data migration has its own specifics and requires an individual approach. However, some policies and procedures apply to all cases. The ten rules of successful approaches and their use-cases There are several strategies to approach the migration. Each is suitable for a slightly different case, has its own advantages, disadvantages and limitations. So which one to choose? Access Description Advantages Disadvantages and limitations Ideal use Big bang Bulk move data in one phase. Move speed. Includes downtime (length depends on data size); finding the causes of errors is difficult.
Application – the reason for migration is often outdated hardware USA Phone Number List or frequent malfunctions. Since migration always involves high costs in this case, the future development of the application is also taken into account. The usual choice is then the microservices architecture , which, however, requires modification of the application to work properly in a high-availability environment, such as a Kubernetes cluster ; servers and data centers (infrastructure) – migration of servers and network infrastructure to another location can take place physically or by moving to the cloud.
Each of the above-mentioned types of data migration has its own specifics and requires an individual approach. However, some policies and procedures apply to all cases. The ten rules of successful approaches and their use-cases There are several strategies to approach the migration. Each is suitable for a slightly different case, has its own advantages, disadvantages and limitations. So which one to choose? Access Description Advantages Disadvantages and limitations Ideal use Big bang Bulk move data in one phase. Move speed. Includes downtime (length depends on data size); finding the causes of errors is difficult.