NAME | DESCRIPTION | INSTALLATION | FILES | PCP ENVIRONMENT | SEE ALSO | COLOPHON |
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PMDAHACLUSTER(1) General Commands Manual PMDAHACLUSTER(1)
pmdahacluster - High Availability Cluster PMDA
pmdahacluster is capable of collecting metric information to enable the monitoring of Pacemaker based HA Clusters through Performance Co-Pilot. The PMDA collects it's metric data from the following components that make up a Pacemaker based HA Cluster: Pacemaker, Corosync, SBD, DRBD. For more detailed information regarding the metrics available please see the included pmns and helpfile with the PMDA.
Install the HA Cluster PMDA by using the Install script as root: # cd $PCP_PMDAS_DIR/hacluster # ./Install To uninstall, do the following as root: # cd $PCP_PMDAS_DIR/hacluster # ./Remove pmdahacluster is launched by pmcd(1) and should never be executed directly. The Install and Remove scripts notify pmcd when the agent is installed or removed.
$PCP_PMDAS_DIR/hacluster/help default help text file for the HA Cluster metrics $PCP_PMDAS_DIR/hacluster/Install installation script for the pmdahacluster agent $PCP_PMDAS_DIR/hacluster/Remove undo installation script for the pmdahacluster agent $PCP_LOG_DIR/pmcd/hacluster.log default log file for error messages from pmdahacluster
Environment variables with the prefix PCP_ are used to parameterize the file and directory names used by PCP. On each installation, the file /etc/pcp.conf contains the local values for these variables. The $PCP_CONF variable may be used to specify an alternative configuration file, as described in pcp.conf(5).
PCPIntro(1), pmcd(1) and pmstore(1).
This page is part of the PCP (Performance Co-Pilot) project.
Information about the project can be found at
⟨http://www.pcp.io/⟩. If you have a bug report for this manual
page, send it to pcp@groups.io. This page was obtained from the
project's upstream Git repository
⟨https://github.com/performancecopilot/pcp.git⟩ on 2024-06-14.
(At that time, the date of the most recent commit that was found
in the repository was 2024-06-14.) If you discover any rendering
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Performance Co-Pilot PCP PMDAHACLUSTER(1)