I don't see anything obviously wrong with the snippet. You can run procstat.py from the command line (--help for options) and pass along the configuration over the command line. That might provide a faster feedback cycle for debugging.
On 02/24/2015 03:17 PM, Grigory Shamov wrote: > Hi All, > > I am trying to use process statistics metrics defining them in > procstat.pyconf . In some cases this doesn't work. There is nothing > reported; the metric appears in the Ganglia Web interface but is empty. > > > What I am trying to do is to monitor my Torque server. I have in the > procstat.pyconf now: > > > > param pbs_server { > # pbs_server seem to have PID there > # value = '/var/spool/torque/server_priv/server.lock' > value='/pbs_server/' > } > > Could you please suggest how to specify the daemon to monitor in > procstat.pyconf? It seems from the examples, that both PID or process > name cane be specified? > > It did not work for me, either with the PID value from server.lock file > (commented out now), or with the string value. > > > Thank you very much! > > ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Ganglia-general mailing list Ganglia-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/ganglia-general