![]() ![]() ![]() The thing to note is that for large mailboxes, we have seen a deterioration of speed over a period of time. For e.g if we have to migrate 1 TB of data over a weekend, say, between Friday evening 6:00 PM to Monday morning 8:00 AM, then we need 5 machines to migrate the data. Based on this, we can estimate that for a given machine it will migrate 240 GB per day.ĭepending upon the expected timeline for migration, we can decide the number of machines. the migration engine takes 10 users for migration in parallel. The concurrency is set at 10 users at a time i.e. We recommend using 1GB/user/hour as baseline for the speed of migration. how many days the migration should be completed in The important factor which the plan is derived on is: Change the MX Record strategy before or after the migrationĬapacity planning for migration is the determination of infrastructure required for migration.Some of the important things to consider for planning are: It is highly recommended that appropriate planning is done for migrating data. It is highly recommended to use high speed bandwidth for migration.įor any migration, whether small, medium or big, if the appropriate planning is not done then, it is bound to fail. The speed of the internet is another important factor for migration.It is recommended to use high power servers for migration. Most of the times, to reduce the cost of migration, the customer uses a low powered machine which impacts the performance of migration. The hardware used for migration is an important factor.email/contact/calendar is a request, so, more number of items means more requests. ![]() The mailbox with large attachments will migrate much faster as compared to more items. Another user may have more number of items but smaller in size. The type of data that needs to be migrated depends upon the user’s functional role he/she may have particular type of data like a designer working in a construction company has a lot of drawings as attachments which are large in sizes.There could be limitations on the data source which may affect the overall migration speed such as G Suite, which has a limit on how much data can be extracted from their service or speed of hard disk or internet speed in case of migrating PST/NSF to cloud destination. ![]()
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