Server performance correction using remote server actions

US9658917B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9658917-B2
Application numberUS-201414175945-A
CountryUS
Kind codeB2
Filing dateFeb 7, 2014
Priority dateFeb 7, 2014
Publication dateMay 23, 2017
Grant dateMay 23, 2017

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  1. Title

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  2. Abstract

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Business transactions and the nodes processing the transactions may be monitored. Actions may be applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric does not satisfy a health rule, the policy determines which action should be performed to correct the performance of the node. The corrective action may be applied to a node other than the node at which the performance metric is associated with. For example, if a performance metric for a first node does not satisfy a threshold, the corrective action may be applied to a second node. When a solution applied to a second node is found to correct the problem in first node, the solution may be applied to the other nodes experiencing the same problem.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for monitoring a distributed business transaction over a distributed system of nodes, the method comprising: receiving, by a controller on a server, performance data associated with the nodes that process a distributed business transaction, the performance data received from the agents installed at the nodes; detecting, by the controller, a performance issue with one of the nodes based on the received performance data; selecting one or more of the nodes other than the node associated with the detected performance issue, the one or more of the other nodes associated with a cause of the detected performance issue and the selecting being based on a parameter associated with the node associated with the detected performance issue; and applying a corrective action to the selected one or more of the nodes other than the node associated with the detected performance issue to address the cause of the detected performance issue; and monitoring the node associated with the detected performance issue to determine whether subsequent performance data received for the node associated with the detected performance issue improve after the corrective action is applied to the selected one or more of the nodes other than the node associated with the detected performance issue. 2. The method of claim 1 , wherein detecting the performance issue includes comparing the received performance data against one or more health rules. 3. The method of claim 2 , including determining the corrective action to apply based on a violation of the one or more of the health rules. 4. The method of claim 1 , wherein the corrective action is applied to the one or more of the nodes other than the node associated with the detected performance issue to address a performance issue associated with a request initiated by the node associated with the detected performance issue, wherein the performance issue associated with the request is caused by a lack of resources at the one or more of the nodes other than the node associated with the detected performance issue. 5. The method of claim 1 , including: determining a metric for the node associated with the detected performance issue. 6. The method of claim 1 , including instructing the agent or agents installed on the selected one or more nodes other than the node associated with the detected performance issue to apply the corrective action. 7. The method of claim 1 , wherein the corrective action includes creating additional instances of virtual machines, restarting a machine, executing a string of commands via script code, configuring a new or restarted virtual machine, installing an agent in a virtual machine, applying a configuration to a virtual machine or application, or restarting an application. 8. The method of claim 1 , including: determining based on the monitoring that the corrective action applied to the selected one or more of the nodes other than the node associated with the detected performance issue does not result in the detected performance issue being corrected; and applying another corrective action to the selected one or more of the nodes other than the node associated with the detected performance issue. 9. The method of claim 1 , including: selecting the corrective action from a list of available action sorted based on a probability of addressing the detected performance issue. 10. The method of claim 1 , wherein each node includes one or more application servers. 11. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform operations for monitoring a distributed business transaction, the operations including: receiving, by a controller on a server, performance data associated with the nodes that process a distributed business transaction, the performance data received from the agents installed at the nodes; detecting, by the controller, a performance issue with one of the nodes based on the received performance data; selecting one or more of the nodes other than the node associated with the detected performance issue, the one or more of the other nodes associated with a cause of the detected performance issue and the selecting being based on a parameter associated with the node associated with the detected performance issue; and applying a corrective action to the selected one or more of the nodes other than the node associated with the detected performance issue to address the cause of the detected performance issue; and monitoring the node associated with the detected performance issue to determine whether subsequent performance data received for the node associated with the detected performance issue improve after the corrective action is applied to the selected one or more of the nodes other than the node associated with the detected performance issue. 12. The non-transitory computer readable storage medium of claim 11 , wherein detecting the performance issue includes comparing the received performance data against one or more health rules. 13. The non-transitory computer readable storage medium of claim 12 , the operations including determining the corrective action to apply based on a violation of the one or more of the health rules. 14. The non-transitory computer readable storage medium of claim 11 , wherein the corrective action is applied to the one or more of the nodes other than the node associated with the detected performance issue to address a performance issue associated with a request initiated by the node associated with the detected performance issue, wherein the performance issue associated with the request is caused by a lack of resources at the one or more of the nodes other than the node associated with the detected performance issue. 15. The non-transitory computer readable storage medium of claim 11 , the operations including: determining a metric for the node associated with the detected performance issue. 16. The non-transitory computer readable storage medium of claim 11 , the operations including instructing the agent or agents installed on the selected one or more nodes other than the node associated with the detected performance issue to apply the corrective action. 17. The non-transitory computer readable storage medium of claim 11 , wherein the corrective action includes creating additional instances of virtual machines, restarting a machine, executing a string of commands via script code, configuring a new or restarted virtual machine, installing an agent in a virtual machine, applying a configuration to a virtual machine or application, or restarting an application. 18. The non-transitory computer readable storage medium of claim 11 , the operations including: determining based on the monitoring that the corrective action applied to the selected one or more of the nodes other than the node associated with the detected performance issue does not result in the detected performance issue being corrected; and applying another corrective action to the selected one or more of the nodes other than the node associated with the detected performance issue. 19. The non-transitory computer readable storage medium of claim 11 , the operations including: selecting the corrective action from a list of available action sorted based on a probability of addressing the detected performance issue. 20. The non-transitory computer readable storage medium of claim 11 , wherein each node includes one or more application servers.

Assignees

Inventors

Classifications

  • based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

  • Monitoring of transactions · CPC title

  • Remedial or corrective actions (recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40) · CPC title

  • for performance assessment · CPC title

  • for systems · CPC title

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Frequently asked questions

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What does patent US9658917B2 cover?
Business transactions and the nodes processing the transactions may be monitored. Actions may be applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric does not satisfy a health rule, the policy determines which action should be performed to correc…
Who is the assignee on this patent?
Appdynamics Inc
What technology area does this patent fall under?
Primary CPC classification G06F11/0793. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 23 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).