For those apps, object storage like Azure blobs is often the best choice. The key in any migration is to capture all the applicable file fidelity when moving your files from their current storage location to Azure. How much fidelity the Azure storage option supports and how much your scenario requires also helps you pick the right Azure storage. General-purpose file data traditionally depends on file metadata.
App data might not. To ensure your migration proceeds smoothly, identify the best copy tool for your needs and match a storage target to your source. Taking the previous information into account, you can see that the target storage for general-purpose files in Azure is Azure file shares. Unlike object storage in Azure blobs, an Azure file share can natively store file metadata. Azure file shares also preserve the file and folder hierarchy, attributes, and permissions. NTFS permissions can be stored on files and folders because they're on-premises.
A user of Active Directory, which is their on-premises domain controller, can natively access an Azure file share. Each uses their current identity to get access based on share permissions and on file and folder ACLs. This behavior is similar to a user connecting to an on-premises file share. The alternative data stream is the primary aspect of file fidelity that currently can't be stored on a file in an Azure file share.
It's preserved on-premises when Azure File Sync is used. Within the intersection of source and target, a table cell lists available migration scenarios. Select one to directly link to the detailed migration guide. A scenario without a link doesn't yet have a published migration guide. Starting from any directory, XCP recursively reads all the subdirectories and can produce listings and reports in human-readable and machine-readable formats. Thanks to the matching and formating capabilities, the reports can be highly customized to match any reporting needs.
Any file attribute such as the access time, owner, group, size, etc. The baseline XCP copy transfers the files so that the target can exactly match the source, including hard links, symlinks, special file types, permissions, ownership, NTFS ACLs, and other attributes.
XCP sync finds all the changes that happened on the source and then performs the necessary operations to update the target and make it exactly match the source.
By default, XCP verify does a full comparison of target files and directories including NTFS ALCs, attributes and every byte of data, and has options for fast verification, selective verification, and incremental data verification after a sync to minimize cutover times.
Ran out of space or inodes? In addition, the configuration information and dependencies of these legacy applications were either unknown or undocumented, which made refactoring or rearchitecting the application a risky approach. The conventional approach in such cases is to deploy NFS file share clusters in Azure using virtual machines VMs and managed disks to support Linux file sharing. Once the clusters are ready, the required NFS file shares can then be provisioned and attached to the workload.
This approach, however, comes with its fair share of challenges, especially in terms of complexity of building a highly reliable, performant file server - or file server cluster - just to serve the needs of your Linux workloads. A normalized performance standard using a specific VM and managed disk SKU was not feasible due to the different types of workloads involved—databases, enterprise file shares, analytics applications, and so on—that required different, and often extreme performance levels.
Moreover, building out multiple NFS clusters with different resource SKUs to cater to the varying performance demands of different workloads would have been impractical.
If they were to adopt the do-it-yourself NFS cluster approach, the cloud administrators would have had to plan for the monthly patch deployments and vulnerability management processes. In addition to ACLs applied to file shares, the access management of backend virtual machines and disks would also need to be managed diligently. Capacity management was another issue, as increasing the storage capacity on demand is not an easy process for sprawling NFS clusters.
Last but not the least was the challenge of migrating terabytes of data to the NFS cluster. While there are data copy tools and scripts available to accomplish this, the need of the hour was an enterprise-class solution that was well integrated with the target environment and could handle the data transfer in a secure manner.
Azure NetApp Files is a Microsoft first-party file share service available in Azure, and the result of years of collaboration between Microsoft and NetApp to address the challenges associated with Linux file sharing requirements for cloud migration. The service is sold, supported, and managed directly by Microsoft.
It is custom built to address the NFS file share requirements of organizations similar to those of the aforementioned customer, where cloud migration often comes to a standstill when it comes to NFS file-share-dependent Linux workloads. Another common use case of data migration to Azure is for backup and archival data.
Lift and shift is the easiest and most risk-free option fo r moving applications and data to the cloud. That makes it the preferred migration strategy by customers starting their cloud migration journeys. For lift and shift migrations, the most useful Azure migration resource is Azure Migrate.
Azure Migrate is a unified hub for the assessment and migration of workloads from on-premises and other cloud environments to Azure.
It consists of a suite of services that can be leveraged by customers based on their use case. Azure Migrate has a special feature for migrating on-premises web applications to the Azure App Service. In addition to servers, Azure Migrate can also be used for migrating virtual desktops from on-premises to Azure and associated data.
The Azure Migrate hub also helps facilitate large scale offline data migrations by providing helpful insights into using Azure Data Box devices. Azure has multiple PaaS and IaaS options available to host your databases.
The remediations should be taken up as a prerequisite for any subsequent Azure migration steps before moving databases to target Azure Data Services.
The migration assessment DMA performs identifies any possible blockers for the migration, as well as features that are partially supported or unsupported which could impact the migration plan. If you are planning to migrate data to an upgraded version of SQL Server in Azure, the tool also provides information on compatibility issues that you should address before the migration takes place.
Once the assessment is done by DMA, customers can use DMS for migrating workloads from different database source environments to Azure Data platform target services.
0コメント