Method and apparatus for proactively monitoring application health data to achieve workload management and high availability
View Patent ↗A method and apparatus for proactively monitoring data center health data to achieve workload management and high availability is provided. In one embodiment, a method for processing application health data to improve application performance within a cluster includes accessing at least one of performance data or event information associated with at least one application to determine application health data and examining the application health data to identify an application of the at least one application to migrate.
1. A method for processing application health data to improve application performance within a cluster, comprising:
accessing at least one of performance data or event information associated with at least one application to determine application health data;
examining the application health data to identify an application of the at least one application to migrate, wherein examining the application health data further comprises:
identifying at least one target node for operating the application of the at least one application based on the application health data in accordance with dynamic priority list information, and
selecting, using clustering information, a dynamic priority list from the dynamic priority list information that corresponds with a particular event within the event information, wherein the clustering information comprises instructions configured to provide availability to applications operating on the at least one target node; and
failing over the application of the at least one application to a target node of the at least one target node in response to a failure.
2. The method of claim 1 , wherein accessing the at least one of performance data or event information further comprises monitoring event logs to process the event information.
3. The method of claim 1 , wherein accessing the at least one of performance data or event information further comprises monitoring performance counters to process the performance data.
4. The method of claim 1 , wherein examining the application health data further comprises selecting a target node of the at least one target node based on the event information.
5. The method of claim 1 , wherein examining the application health data further comprises selecting a target node of the at least one target node based on the performance data.
6. The method of claim 1 , further comprising migrating the application of the at least one application to a target node of the at least one target node.
7. The method of claim 1 , wherein accessing the at least one of performance data or event information further comprises comparing at least one performance counter value with at least one pre-defined threshold value to generate a comparison result.
8. An apparatus for processing application health data to improve application performance within a cluster, comprising:
at least one node, the at least one node comprising:
a monitor for accessing at least one of performance data or event information associated with at least one application to determine application health data and examining the application health data to identify an application of the at least one application to migrate; and
clustering software for identifying at least one target node for operating the application of the at least one application based on the application health data in accordance with dynamic priority list information and for selecting a target node of the at least one target node based on the at least one of the event information or the performance data, wherein the clustering software comprises instructions configured to provide availability to applications operating on the at least one target node, and fails over the application to a target node of the at least one target node in response to a failure.
9. The apparatus of claim 8 , wherein the monitor is a component of an agent for monitoring at least one of event logs to process the event information or performance counters to process the performance data.
10. The apparatus of claim 8 , further comprising clustering software for selecting a dynamic priority list from the dynamic priority list information that corresponds with a particular event within the event information.
11. The apparatus of claim 8 , further comprising clustering software for migrating the application of the at least one application to a target node of the at least one target node based on the application health data.
12. The apparatus of claim 8 , wherein the monitor compares at least one performance counter value with at least one pre-defined threshold value to generate a comparison result.
13. A system for processing application health data to improve application performance within a cluster, comprising:
a node comprising:
an agent for monitoring at least one of performance counters or event logs associated with at least one application to process at least one of performance data or event information and
a monitor for accessing at least one of performance data or event information associated with at least one application to determine application health data and examining the application health data to identify an application of the at least one application to migrate, wherein the monitor is a component of the agent; and
a server coupled to the node, comprising:
clustering software for migrating the application of the at least one application to a target node in accordance with dynamic priority list information, wherein the clustering software comprises instructions configured to provide availability to applications operating on the node and selects a dynamic priority list from the dynamic priority list information that corresponds with a particular event within the event information.