You can use this procedure to import an archive one time, or schedule an archive to import on a recurring basis.
When you want to recover archived data, you can import the entire archive to a specified location.
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Caution: Perform this step only after careful consideration. Importing an archive repopulates the repository with the contents of the archive, replacing any new data in the repository since the archive was captured. |
To import an archive, complete the steps in the following procedure.
The Import Archive Wizard opens.
Option | Text Box | Description | ||
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Local |
Location |
Enter the local path where you want the archive to reside; for example, | ||
Network |
Location |
Enter the network path where you want the archive to reside; for example, | ||
User name |
Enter the user name for the user with access to the network share. | |||
Password |
Enter the password for the user with access to the network share. | |||
Cloud |
Account |
Select an account from the drop-down list.
| ||
Container | Select a container associated with your account from the drop-down menu. | |||
Folder name | Enter a name for the folder in which the archived data is saved. |
Option | Description |
---|---|
Use an existing Repository |
Select a repository currently associated with this Core from the drop-down list. |
Create a Repository |
In the Server text box, enter the name of the server on which you want to save the new repository—for example, servername or localhost—and then see Creating a DVM repository. |
Option | Description | ||
---|---|---|---|
Daily | Click the clock icon and use the up and down arrows to select at what time you want to the archive job to begin.
If you are using a 12-hour time system, click the AM or PM button to specify the time of day. | ||
Weekly | Select the day of the week and then the time you want the archive job to begin.
If you are using a 12-hour time system, click the AM or PM button to specify the time of day. | ||
Monthly | Select the day of the month and the time you want the archive job to begin.
If you are using a 12-hour time system, click the AM or PM button to specify the time of day. | ||
Pause initial importing |
Select this option if you do not want the import job to begin at the next scheduled time after you complete the wizard.
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Rapid Recovery lets you define connections between existing cloud storage or cloud service providers and your Rapid Recovery Core. Compatible cloud services include Microsoft Azure, Amazon Web Services (AWS), any OpenStack-based provider (including Rackspace), and Google Cloud. US government-specific platforms include AWS GovCloud (US) and Azure Government. You can add any number of cloud accounts to the Core Console, including multiple accounts for the same provider.
The purpose of adding cloud accounts to your Core Console is to work with them as described in the topic About cloud accounts.
Once added, you can manage the connection between the Core and the cloud accounts. Specifically, you can edit the display name or credential information, configure the account connection options, or remove the account from Rapid Recovery. When you edit or remove cloud accounts in the Core Console, you do not change the cloud accounts themselves—just the linkage between those accounts and your ability to access them from the Core Console.
This section describes how to define links between existing cloud storage provider or cloud service provider accounts, and the Rapid Recovery Core Console. It also describes how to manage those cloud accounts in Rapid Recovery.
Topics include:
Rapid Recovery works with cloud accounts in the following ways:
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NOTE: When archiving to Azure using Rapid Recovery release 6.3, use the cloud account type Microsoft Azure Service Management (for Archive). When exporting a VM to Azure, use the cloud account type Microsoft Azure Resource Management (for Virtual Export). |
For conceptual information regarding various cloud accounts, see Considering cloud storage options.
For information about configuring timeout settings between the Core and cloud accounts, see Configuring cloud account connection settings.
For information about performing virtual export to the Azure cloud, see Exporting data to an Azure virtual machine.
For information about adding a cloud account, see Adding a cloud account.
This topic discusses support for US Government cloud storage accounts. It also discusses tradeoffs between cost and other factors when selecting cloud accounts for archiving.
United States federal, state, and local government agencies and their partners have access to increasing cloud account options. Rapid Recovery supports the following offerings for Government and related cloud accounts:
To offer our users cost-effective cloud archiving and virtual export options, Rapid Recovery continues to expand support of cloud storage providers (and storage classes for leading providers that offer them). Educated users can leverage policies to balance data archive convenience, data access time, and cost.
When considering strategies for archiving or exporting to the cloud, Rapid Recovery users are encouraged to understand the tradeoffs between initial cost to store data, how frequently the data is expected to be used, the need to access that data within a prescribed period of time, and costs associated with retrieving the data.
Some providers (such as Amazon S3) offer different storage classes. Choosing the correct storage class can save you money if your assumptions regarding these factors are accurate. Quest recommends that Rapid Recovery users review data storage policies at least once annually to ensure you are using your resources effectively. Similarly, administrators are cautioned to review the data being archived or exported to cloud accounts so you can update planning assumptions and migrate data accordingly.
The act of storing data, for some vendors, is extremely low or in some cases free. However, cloud service providers often apply charges to your account when you access or retrieve that data. There are often different fees based on how quickly you need to access the data. In some cases, using more expensive storage (such as Amazon S3 standard) is more cost effective if you plan to restore from recovery points than if you store data in Glacier and need to restore.
Amazon lets you define data life cycle policies that move data between Amazon S3 storage classes over time. For example, you could store freshly uploaded data using the Standard storage class, move it to Standard – Infrequent Access 30 days later, and then to Reduced Redundancy Storage after another 60 days have passed. You can also explicitly archive data for any type of Amazon S3 cloud account to Glacier, using the Archive Wizard. This is recommended if data recovery is expected very infrequently. Before selecting this option, familiarize yourself with fees related to access, storage age, and so on. See the topic Amazon storage options and archiving.
Some Rapid Recovery features are designed specifically for the cloud. If performing virtual export to the cloud using Azure, consider virtual standby. This process lets you create a fully bootable virtual machine in the Azure cloud. The VM files are continually updated with newly captured recovery points. Unlike virtual standby performed on-premises, the VM files are not deployed into a bootable VM until or unless you need them. Your initial cost for virtual standby in Azure involve only storage. Compute costs (which in Azure can be considerable in the long term) are incurred only if the VM is deployed, which is required to spin up a VM and perform a restore.
You can run a Rapid Recovery Core in an Azure VM. You can also replicate an on-premises Core to a VM in the Azure cloud, or replicate a source Core in Azure to a target Core in Azure. Running a source or target Rapid Recovery Core in Azure uses compute resources for the active Core VM, and requires storage accounts to be created and associated with each Core VM for your repository, which incurs storage costs. For information about setting up a Core to run in Azure, see the Rapid Recovery Azure Setup Guide.
Users of Rapid Recovery that employ cloud storage options are encouraged to understand the tradeoffs between initial cost to store data, the need to access that data within a prescribed period of time, and costs associated with retrieving the data.
For example, the act of storing data, for some vendors, is extremely low or in some cases free. However, cloud service providers often apply charges to your account when you access or retrieve that data. There are often different fees based on how quickly you need to access the data. In some cases, using more expensive storage (such as Amazon S3 standard) is more cost effective if you plan to restore from recovery points than if you store data in Glacier and need to restore.
Amazon lets you define data life cycle policies that move data between Amazon S3 storage classes over time. For example, you could store freshly uploaded data using the Standard storage class, move it to Standard – IA 30 days later, and then to Amazon Glacier after another 60 days have passed.
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