Fifemon

Collect HTCondor statistics and report into time-series database. All modules support Graphite, and there is some support for InfluxDB.

Additionally report select job and slot Classads into Elasticsearch via Logstash.

Note: this is a fork of the scripts used for monitoring the HTCondor pools at Fermilab, and while generally intended to be "generic" for any pool still may require some tweaking to work well for your pool.

Requirements

Python 2.6 or greater recommended.
HTCondor libraries and Python bindings
- https://research.cs.wisc.edu/htcondor/downloads/
A running Graphite server (available in EPEL or via PIP)
- http://graphite.readthedocs.org/en/latest/

For current job and slot state:

A running Elasticsearch cluster
- https://www.elastic.co/products/elasticsearch
Logstash (tested with v2.0.0+)
- https://www.elastic.co/downloads/logstash

Installation

Assuming HTCondor and Python virtualenv packages are already installed:

cd $INSTALLDIR
git clone https://github.com/fifemon/probes
cd probes
virtualenv --system-site-packages venv
source venv/bin/activate
pip install supervisor influxdb

Optionally, for crash mails:

pip install superlance

Configuration

Condor metrics probe

Example probe config is in etc/condor-probe.cfg:

[probe]
interval = 240   # how often to send data in seconds
retries = 10     # how many times to retry condor queries
delay = 30       # seconds to wait beteeen retries
test = false     # if true, data is output to stdout and not sent downstream
once = false     # run one time and exit, i.e. for running wtih cron (not recommended)

[graphite]
enable = true                           # enable output to graphite
host = localhost                        # graphite host
port = 2004                             # graphite pickle port
namespace = clusters.mypool             # base namespace for metrics
meta_namespace = probes.condor-mypool   # namespace for probe metrics

[influxdb]
enable = false       # enable output to influxdb (not fully supported)
host = localhost     # influxdb host
port = 8086          # influxdb api port
db = test            # influxdb database
tags = foo:bar       # extra tags to include with all metrics (comma-separated key:value)

[condor]
pool = localhost            # condor pool (collector) to query
post_pool_status = true     # collect basic daemon metrics
post_pool_slots = true      # collect slot metrics
post_pool_glideins = false  # collect glidein-specific metrics
post_pool_prio = false      # collect user priorities
post_pool_jobs = false      # collect job metrics
use_gsi_auth = false        # set true if collector requires authentication
X509_USER_CERT = ""         # location of X.509 certificate to authenticate to condor with
X509_USER_KEY = ""          # private key

Supervisor

Example supervisor config is in etc/supervisord.conf, it can be used as-is for basic usage. Reuqires some modification to enable crashmails or to report job and slot details to elsaticsearch (via logstash).

Job and slot state

The scripts that collect raw job and slot records into elasticsearch are much simpler than the metrics probe - simply point at your pool with --pool and JSON records are output to stdout. We use logstash to pipe the output to Elasticsearch; see etc/logstash-fifemon.conf.

Running

Using uspervisor:

cd $INSTALLDIR/probes
source venv/bin/activate

If using influxdb:

export INFLUXDB_USERNAME=<username>
export INFLUXDB_PASSWORD=<password>

Start supervisor:

supervisord

bendylan / probes