Hello Shahnawaz Ahmed
To predict data flow speed for on-premises VMs (from VMware) migration to Azure Cloud using Azure Migrate, you can use the following steps:
- Estimate the size of the data to be migrated. You can do this by checking the size of the VMDKs on the on-premises VMs.
- Estimate the bandwidth between the on-premises environment and Azure. You can do this using a tool such as Azure Speed Test.
- Calculate the predicted data flow speed using the following formula:
Predicted data flow speed = (Size of data to be migrated) / (Bandwidth between on-premises environment and Azure)
For example, if the size of the data to be migrated is 1 TB and the bandwidth between the on-premises environment and Azure is 100 Mbps, then the predicted data flow speed would be 10 Mbps.
To identify the data block size for Windows and Linux machines, you can use the following steps:
Windows:
- Open a command prompt.
- Type the following command:
fsutil fsinfo ntfsinfo c:
- The data block size will be listed under the "Bytes Per Cluster" column.
Linux:
- Open a terminal window.
- Type the following command:
df -B 1 | grep /
- The data block size will be listed under the "BLOCKSIZE" column.
Once you have identified the data block size, you can use it to configure the Azure Migrate migration settings.
Here are some additional tips for improving the data flow speed during Azure Migrate migrations:
- Use a dedicated network connection between the on-premises environment and Azure.
- Use a network optimizer to improve the performance of the network connection.
- Use a larger data block size.
- Use multiple migration jobs.
I hope this helps! Let me know if you have any other questions.