Monitoring clusters with RTM

Use RTM to configure, monitor, and control LSF clusters.

Set up monitoring of LSF clusters
You can use RTM to monitor and control LSF clusters.
Monitor performance metrics
Monitoring job throughput with benchmark jobs
You can configure a benchmark job to measure job throughput in your cluster. A benchmark job is any job that you configure to submit to the LSF cluster at a specific interval. You can graphically view time values for the job such as communication times between RTM and LSF, how long it took to start a job, over time.
Configure cluster interaction
Configure cluster management
Control an LSF cluster
Enforce cluster action control comments
Configure idle job detection for cluster
Configure idle job detection (Grid settings)
Configure memory violation detection
Add or edit LSF clusters for RTM to monitor
Grid heuristics (JobIQ)
JobIQ provides LSF users a customizable view of their workload compared to the workload of other users inside LSF. Grid heuristics also provides multiple cross sections of both users and cluster-wide data contained in RTM.
Pending reasons
View LSF cluster and job information
View time series graphs for clusters and hosts
Time series graphs present cluster status and details that depend on time. Time is the X-axis in these line graphs.
View non-time series charts for clusters and hosts
Create graphs for monitoring LSF clusters or license services
RTM provides a rich set of time series graphs that provide cluster and application administrators and team leaders with insight into the operation of their environment. There are many out-of-the-box graphs that are provided in RTM. These graphs can be used to gain insight into how jobs are being processed and how resources are being used. For more information on graphs and graph templates, refer to the Graphs and Graph Templates documentation.
Set up grid display

Parent topic: Administering IBM Spectrum LSF RTM