Best practice analysis, migration advisor

• US 9,197,502 B1
• Filed: 02/09/2015
• Issued: 11/24/2015
• Est. Priority Date: 05/23/2012
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Chheda, Mahendra M., Heidel, Shawn E., Jaye, Robert B., Brindley-Koonce, Justin K., Brandwine, Eric Jason
• Primary Examiner(s): Meky, Moustafa M
• Application Number:
  US14/617,880
• Time in Patent Office: 288 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: G06Q 20/08 Payment architectures
• CPC Class Codes: G06Q 20/085 involving remote charge determination or related payment systems
• CPC Class Codes: G06Q 20/425 using two different networks, one for transaction and one for security confirmation
• CPC Class Codes: H04L 41/0806 for initial configuration or provisioning, e.g. plug-and-play
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 41/0816 the condition being an adaptation, e.g. in response to network events
• CPC Class Codes: H04L 41/0826 for reduction of network costs H04L41/0833 takes precedence
• CPC Class Codes: H04L 41/0859 by keeping history of different configuration generations or by rolling back to previous configuration versions
• CPC Class Codes: H04L 41/0886 Fully automatic configuration
• CPC Class Codes: H04L 41/18 Delegation of network management function, e.g. customer network management [CNM]
• CPC Class Codes: H04L 41/20 Network management software packages
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

Embodiments of the present disclosure are directed to, among other things, providing resource allocation advice, configuration recommendations, and/or migration advice regarding data storage, access, placement, and/or related web services. In some examples, a web service may utilize or otherwise control a client instance to control, access, or otherwise manage resources of a distributed system. Based at least in part on one or more resource usage checks and/or configuration checks, resource usage information and/or configuration information of an account utilizing a web service, and/or user preferences and/or settings, resource allocation advice, system configuration recommendations, and/or migration advice may be provided to a user of an account. Additionally, in some examples, one or more remediation operations may be performed automatically.

Claims

1. A computer-implemented method for resource migration, comprising:

receiving, by at least one of one or more computing devices, client configuration information associated with a client entity of an account configured to access a first datacenter, the client configuration information indicating at least one setting particular to the account'"'"'s configuration of the client entity;

receiving, by at least one of the one or more computing devices, data configuration information associated with the first datacenter accessed by the client entity;

receiving resource usage information associated with usage, by the account, of at least one of the client entity or the first datacenter;

determining, based at least in part on at least one of the received client configuration information, the received data configuration, or the received resource usage information, at least one configuration setting for implementing the account in a second datacenter; and

providing, to an entity associated with the account, the at least one configuration setting for implementing the account in the second datacenter.

2. The computer-implemented method of claim 1, wherein determining the at least one configuration setting is further based at least in part on at least one resource optimization check.

3. The computer-implemented method of claim 2, wherein the at least one resource optimization check includes a determination associated with at least one of a service limit, an idle instance, an instance usage, an instance size, an unused data backup, a stored data distribution, a reserved instance, service usage, account consolidation, an application programming interface (API) call, a certificate limit, a content distribution, a cost threshold, a data transfer, a data storage type, a data storage version, or a product usage.

4. The computer-implemented method of claim 1, wherein the second datacenter is configured as a relational database management service.

5. The computer-implemented method of claim 1, further comprising determining, based at least in part on the at least one configuration setting for implementing the account in the second datacenter, a cost estimate for migrating the account to the second datacenter.

6. The computer-implemented method of claim 1, further comprising:

receiving, in response to the provided at least one configuration setting, a request to implement the account in the second datacenter; and

performing a migration of the account to the second datacenter.

7. The computer-implemented method of claim 1, wherein the client configuration information is associated with at least one component associated with the account.

8. The computer-implemented method of claim 7, wherein the at least one component includes at least one of a virtual processor, a data storage device operationally attached to the virtual processor, or a network interface device.

9. One or more computer-readable media collectively storing computer-executable instructions for data storage management that, when executed by one or more processors, configures the one or more processors to perform operations comprising:

receiving configuration information, the configuration information associated with configuring at least one component of an account to access a first data center;

receiving resource usage information associated with the usage, by the account, of at least one of the components or the first data center;

determining, based at least in part on at least one of the received configuration information or the received resource usage information, at least one configuration setting for implementing the account in a second data center, the second data center being operated separately from the first data center; and

providing the at least one configuration setting for implementing the account in the second data center to a user of the account.

10. The one or more computer-readable media of claim 9, the one or more processors configured to perform operations further comprising providing instructions that enable the first data center to execute on one or more other physical computing systems at the first data center.

11. The one or more computer-readable media of claim 9, the one or more processors configured to perform operations further comprising implementing the account in the second data center based at least in part on the determined at least one configuration setting.

12. The one or more computer-readable media of claim 9, the one or more processors configured to perform operations further comprising performing the at least one configuration check based at least in part on the determined at least one configuration setting, wherein performing the at least one configuration check on the account comprises at least comparing the received configuration information against a guideline indicated by the configuration check.

13. The one or more computer-readable media of claim 9 wherein determining the at least one configuration setting is further based at least in part on an indication of whether to optimize the account or reduce account costs.

14. A system for resource migration, comprising:

at least one memory that stores computer-executable instructions; and

at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to;

receive client configuration information associated with at least one component of an account configured to access a first data storage system, the client configuration information indicating at least one setting particular to the account'"'"'s configuration of the at least one component;

receive resource usage information associated with the account'"'"'s usage of at least one of the at least one component or the first data storage system;

determine, based at least in part on the received configuration information, the received data configuration, and the received resource usage information, at least one configuration setting for migrating the account to a second data storage system, the second data storage system being operated separately from the first data storage system; and

provide the at least one configuration setting for migrating the account to the second data storage system.

15. The system of claim 14, wherein determining the at least one configuration setting is based at least in part on at least one resource optimization check.

16. The system of claim 15, wherein the at least one resource optimization check includes a determination associated with at least one of a service limit, an idle instance, an instance usage, an instance size, an unused data backup, a stored data distribution, a reserved instance, service usage, account consolidation, an application programming interface (API) call, a certificate limit, a content distribution, a cost threshold, a data transfer, a data storage type, a data storage version, or a product usage.

17. The system of claim 14, wherein the first data storage system comprises one or more geographically distributed data centers, and wherein the system enables the one or more geographically distributed data centers to execute on one or more other physical or virtual computing systems.

18. The system of claim 14, wherein the second data storage system comprises one or more geographically distributed data centers, and wherein the system enables the one or more geographically distributed data centers to execute on one or more other physical or virtual computing systems.

19. The system of claim 14, wherein the at least one configuration setting comprises a number or type of virtual machine instances to use, a number or type of data storage devices to use, a type of security to use, a frequency of data backups, or which network ports to utilize.

20. The system of claim 14, wherein the second data storage system comprises one or more virtual data stores.