Monitoring a customized adaptive workload manager environment

In a customized adaptive workload manager environment, there are several metrics that can be helpful.

Monitoring queuing in a customized adaptive workload manager environment
Monitoring queuing with a customized adaptive workload manager environment is similar to monitoring queuing behavior with the default adaptive workload manager environment, but with some important differences.
Monitoring service class load
When work is partitioned into different service classes, it can be helpful to monitor the activity load over time to determine which service classes are busy, and which are being impacted by queuing due to lack of available resources.
Monitoring service class resource entitlement and usage
Service classes are entitled to a percentage of resources based on their configured resource shares. The adaptive workload manager schedules and admits based on these configured entitlements, while respecting any reserved resources. Over time, it is useful to monitor resource usage and entitlement to ensure an optimal configuration.
Monitoring service class compliance with resource entitlements
Monitor elements that report actual resource usage help you to determine the resource requirements of the workload running in a service class, and to tune resource entitlements. However, actual resource usage is not always a good indicator for compliance with respect to resource entitlement.

Parent topic: Customizing the adaptive workload manager environment

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