SYSTEMS AND METHODS FOR INSTALLING, MANAGING, AND PROVISIONING APPLICATIONS

• US 20140096125A1
• Filed: 09/28/2012
• Published: 04/03/2014
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Wal-Mart Stores Texas LLC (WalMart Inc.)
• Inventors: Kimmet, Tim G., Sivasubramanian, Ramana Venkatesh, Hansen, Kenneth
• Granted Patent: US 9,317,269 B2
• Time in Patent Office: Days
• US Class Current: 717/172
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57

Abstract

Systems and methods are disclosed for provisioning resources for an application according to an application manifest. The resources may include database, network, and processing resources. The application manifest may be organized as a manifest tree with provisioned resources having their own application manifests for provisioning sub-resources. The application manifest may also define provisioning and de-provisioning of the application in response to loading of the application. Root cause analysis may be performed in accordance with the manifest tree. Also disclosed are systems and methods for rolling out an upgrade across a node cluster. Systems and methods are disclosed for routing traffic to different workflow paths in order to implement an overloaded path and evaluate performance of the overloaded path.

Claims

1. A method for upgrade deployment comprising:

receiving, at a server, an instruction to upgrade a module installed on a plurality of nodes;

progressively performing for each node of the plurality of nodes;

providing an upgraded module for the node;

deactivating a former module for the node;

installing the upgraded module;

evaluating performance of the upgraded module; and

if performance is found to improve, retaining the upgraded module for the node, otherwise restoring the former module.

2. The method of claim 1, wherein evaluating performance of the upgraded module includes evaluating one or more metrics for the former module with respect to the upgraded module.

3. The method of claim 1, wherein the metrics include one or more of an exception count, object count, traffic throughput, processor usage, memory usage, storage usage, and container performance.

4. The method of claim 1, further comprising:

routing an excess traffic amount to a selected node of the plurality of nodes;

monitoring the selected node; and

identifying failure points according to monitoring the selected node.

5. The method of claim 1, wherein installing the upgraded module further comprises provisioning one or more resources for the upgraded module according to an application manifest.

6. The method of claim 5, wherein the one or more resources include at least one of a database resource, an application server resource, a processing resource, and a web server resource.

7. The method of claim 5, wherein the one or more resources include at least one of a Cassandra™

database, a JBoss™

server, a Tomcat™

server, and a web server resource.

8. A system for upgrade deployment comprising one or more processors and one or more memory devices operably coupled to the one or more processors, the one or more memory devices storing executable and operational code effective to cause the one or more processors to:

receive an instruction to upgrade a module installed on a plurality of nodes;

progressively perform, for each node of the plurality of nodes;

providing an upgraded module for the node;

deactivating a former module for the node;

installing the upgraded module;

evaluating performance of the upgraded module; and

if performance is found to improve, retaining the upgraded module for the node, otherwise restoring the former module.

9. The system of claim 8, wherein the executable and operational code are further effective to cause the one or more processors to evaluate performance of the upgraded module by evaluating one or more metrics for the former module with respect to the upgraded module.

10. The system of claim 8, wherein the metrics include one or more of an exception count, object count, traffic throughput, processor usage, memory usage, storage usage, and container performance.

11. The system of claim 8, wherein the executable and operational data are further effective to cause the one or more processors to:

route an excess traffic amount to a selected node of the plurality of nodes;

monitor the selected node; and

identify failure points according to monitoring the selected node.

12. The system of claim 8, wherein the executable and operational data are further effective to cause the one or more processors to install the upgraded module by provisioning one or more resources for the upgraded module according to an application manifest.

13. The system of claim 12, wherein the one or more resources include at least one of a database resource, an application server resource, a processing resource, and a web server resource.

14. The system of claim 12, wherein the one or more resources include at least one of a Cassandra™

database, a JBoss™

server, a Tomcat™

server, and a web server resource.

15. A computer program product for upgrade deployment, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:

receiving an instruction to upgrade a module installed on a plurality of nodes;

progressively performing for each node of the plurality of nodes;

providing an upgraded module for the node;

deactivating a former module for the node;

installing the upgraded module;

evaluating performance of the upgraded module; and

if performance is found to improve, retaining the upgraded module for the node, otherwise restoring the former module.

16. The computer program product of claim 15, wherein evaluating performance of the upgraded module includes evaluating one or more metrics for the former module with respect to the upgraded module.

17. The computer program product of claim 15, wherein the metrics include one or more of an exception count, object count, traffic throughput, processor usage, memory usage, storage usage, and container performance.

18. The computer program product of claim 15, further comprising computer instructions for:

routing an excess traffic amount to a selected node of the plurality of nodes;

monitoring the selected node; and

identifying failure points according to monitoring the selected node.

19. The computer program product of claim 15, wherein installing the upgraded module further comprises provisioning one or more resources for the upgraded module according to an application manifest.

20. The computer program product of claim 19, wherein the one or more resources include at least one of a database resource, an application server resource, a processing resource, and a web server resource.

21. The computer program product of claim 19, wherein the one or more resources include at least one of a Cassandra™

database, a JBoss™

server, a Tomcat™

server, and a web server resource.