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Move does not have any hard limit on the resource configuration. So the RAM/ CPU configuration can be updated to a higher value. Also, the migration performance depends on the source (read) and target (write) performance and the network bandwidth.
@BlakeRobertsNBL Here is what the move team had to say about limitations. Move performs up to 16 disks migration in parallel. If it is from the single ESX host, then the limit is 8 disks in parallel. Hope this helps.
Sorry for the late reply - From personal experience, the number of concurrent migrations that happen at the same time seems to be tied to the amount of data you are moving. I was doing 10 migrations at a time when I was a customer (at my job before nutanix) and it was around 1-3 TB of data without a problem. If I have any large VM’s 10+ tbs on their own I would do that migration on its own without any other migrations running. I will ask the Move team if there is a guideline and get back to you.
@BlakeRobertsNBL Got this from the move team, let me know if you need more guidence. I can give you some guidance on the sequence of APIs we need to call to cutover VMs. workload in our APIs is a VM, so wherever workload id is mentioned we need VM uuid to be passed. We can use "https://{move_ip}/move/v2/plans/{id}/workloads/list" to get a list of all workloads/VMs list in a migplan by passing in migplan uuid/id. In the response, we get a list of VMs under VMStatus, there we can get VM uuid that we can use to call cutover API. Under VMStatus, we also get State of the VM. When the value is 5, it means the VM is ready for cutover. For performing cutover of a particular VM, we can call https://{move_ip}/move/v2/plans/{id}/workloads/{wid}/action by passing in VM id in the path parameter 'wid' and passing in the payload: {"Spec": {"Action": "cutover"}}
Hi @BlakeRobertsNBL Do not have anything right on hand, however, let me poke around some of the internal resources and see if we can come up with something.
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