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Update concepts-vmware-agentless-migration.md
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articles/migrate/concepts-vmware-agentless-migration.md

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## Impact of churn
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We try to minimize the amount of data transfer in each replication cycle by allowing the data to fold as much as possible before we schedule the next cycle. Because agentless replication folds in data, the _churn pattern_ is more important than the _churn rate_. When a file is written again and again, the rate doesn't have much impact. However, a pattern in which every other sector is written causes high churn in the next cycle.
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If the current delta replication cycle takes longer due to high churn, the start of the next cycle will be delayed. Delta replication cycle will require more time to create a recovery point if there is more data to upload for a specific disk. Consequently, the final migration will also take longer, resulting in a longer VM shutdown period.
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If the current delta replication cycle experiences delays due to high data churn, the initiation of the subsequent cycle may be delayed. A higher volume of data to replicate for a specific disk will extend the duration required to create a recovery point. As a result, the final migration cycle will take longer, leading to an extended shutdown window for the source virtual machine (VM).
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If the churn exceeds the available datastore capacity, the datastore may run out of space, which can impact production writes and cause the source VM to become unresponsive. Mitigation to this is to increase the datastore size. If there are other VMs being replicated simultaneously, it is recommended to migrate one VM at a time.
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In cases where the snapshot size increases(due to churn pattern) to an extent that crosses the available capacity of the datastore, there is a risk of the datastore running out of space. This can adversely affect production workloads and may render the source VM unresponsive. To mitigate this risk, it is recommended to increase the datastore size proactively. Additionally, if multiple VMs are being replicated concurrently are having disks in a datastore which has low available capacity, it is advisable to perform migrations one VM at a time to avoid resource contention.
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## Management of replication
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