Viewing and analyzing the performance data
The performance monitoring tool allows you to view the metrics associated with GPFS™ and the associated protocols, get a graphical representation of the status and trends of the key performance indicators, and analyze IBM Spectrum Scale™ performance problems.
You can view and analyze the performance monitoring data using the following methods:
- Using the mmperfmon command.
- Using an open source visualization tool called Grafana.
Note: You may also monitor the performance through IBM
Spectrum Scale GUI. For more information on using the IBM
Spectrum Scale GUI for performance monitoring, see Performance monitoring using IBM Spectrum Scale GUI. The performance data that is available with
mmperfmon query, GUI or any other visualization tool depends on the which sensors
are installed and enabled. This can be determined by looking at the sensor configuration. For more
information on sensor configuration, see Configuring the sensor
.
- Viewing performance data with mmperfmon
To view the metrics associated with GPFS and the associated protocols, run the mmperfmon command with the query option. You can also use the mmperfmon command with the query option to detect performance issues and problems. You can collect metrics for all nodes or for a particular node. - Using IBM Spectrum Scale performance monitoring bridge with Grafana
The IBM Spectrum Scale performance monitoring bridge is a stand-alone Python application, which uses Grafana to display performance data. Grafana is an open source tool for visualizing time series and application metrics. It provides a powerful platform to create, explore, and share dashboards and data. The IBM Spectrum Scale performance monitoring bridge emulates an openTSDB API, which is used by Grafana to set up and populate the graphs. The metadata received from IBM Spectrum Scale is used to create the Grafana graphs, and the data from IBM Spectrum Scale is used to populate these graphs.
Parent topic: Performance monitoring tool overview