RDC Prometheus plugin

The rdc_prometheus.py is a Prometheus plugin for RDC
The rdc_prometheus_example.yml and prometheus_targets.json are
example Prometheus configuration. If there are multiple compute
nodes, they can be defined at prometheus_targets.json.

Change-Id: I3611b1e8a166f6608351f6e7644808bf72a4d3a0
This commit is contained in:
Bill(Shuzhou) Liu
2020-08-13 09:01:12 -04:00
committad av Chris Freehill
förälder 15be17539f
incheckning 9c7a1347ea
4 ändrade filer med 140 tillägg och 1 borttagningar
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@@ -6,9 +6,24 @@ Then you can run RdcReader in python_binding folder:
python RdcReader.py
* Prometheus plugin
Install the prometheus_client:
% pip install prometheus_client
Start the rdcd with auth and then run plugin to connect to it:
% python rdc_prometheus.py
* Collectd plugin
Check the options of the plugin:
% python rdc_prometheus.py --help
Verify the plugin is running:
% curl localhost:5000
In the managment computer, install the Prometheus from
https://github.com/prometheus/prometheus
Modify the file prometheus_targets.json to add the compute nodes running the plugin.
Start the Prometheus
% prometheus --config.file=<full path of the rdc_prometheus_example.yml>
Browse to localhost:9090 in the managment computer for metrics from RDC.
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[
{
"targets": [
"localhost:5000"
]
}
]
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import argparse
from RdcReader import RdcReader
from RdcUtil import RdcUtil
from rdc_bootstrap import *
from prometheus_client import start_http_server, Gauge, REGISTRY, PROCESS_COLLECTOR, PLATFORM_COLLECTOR
default_field_ids = [
rdc_field_t.RDC_FI_GPU_MEMORY_USAGE,
rdc_field_t.RDC_FI_GPU_MEMORY_TOTAL,
rdc_field_t.RDC_FI_POWER_USAGE,
rdc_field_t.RDC_FI_GPU_CLOCK,
rdc_field_t.RDC_FI_GPU_UTIL,
rdc_field_t.RDC_FI_GPU_TEMP
]
class PrometheusReader(RdcReader):
def __init__(self, rdc_ip_port, field_ids, update_freq, max_keep_age, max_keep_samples,
gpu_indexes, rdc_unauth, enable_plugin_monitoring):
group_name = "rdc_prometheus_plugin_group"
field_group_name = "rdc_prometheus_plugin_fieldgroup"
if rdc_unauth:
RdcReader.__init__(self, ip_port = rdc_ip_port, field_ids = field_ids, update_freq=update_freq,
max_keep_age = max_keep_age, max_keep_samples = max_keep_samples,
gpu_indexes = gpu_indexes, field_group_name = field_group_name, gpu_group_name = group_name, root_ca = None)
else:
RdcReader.__init__(self, ip_port = rdc_ip_port, field_ids = field_ids, update_freq=update_freq,
max_keep_age = max_keep_age, max_keep_samples = max_keep_samples,
gpu_indexes = gpu_indexes, field_group_name = field_group_name, gpu_group_name = group_name)
# Supress internal metrics from prometheus_client
if enable_plugin_monitoring == False:
REGISTRY.unregister(PROCESS_COLLECTOR)
REGISTRY.unregister(PLATFORM_COLLECTOR)
# Create the guages
self.guages = {}
for fid in self.field_ids:
field_name = self.rdc_util.field_id_string(fid).lower()
self.guages[fid] = Gauge(field_name, field_name, labelnames=['gpu_index'])
def handle_field(self, gpu_index, value):
if value.field_id.value in self.guages:
self.guages[value.field_id.value].labels(gpu_index).set(value.value.l_int)
def get_field_ids(args):
field_ids = []
field_id_str=[]
if args.rdc_fields:
field_id_str=args.rdc_fields
elif args.rdc_fields_file:
try:
with open(args.rdc_fields_file) as fi:
content = fi.readlines()
field_id_str = [x.strip() for x in content]
except Exception as e:
print("Fail to read " + args.rdc_fields_file + ":" + str(e))
if len(field_id_str)> 0 :
for f in field_id_str:
field_id = rdc.get_field_id_from_name(f)
if field_id.value == rdc_field_t.RDC_FI_INVALID:
print("Invalid field '%s' will be ignored." % (f))
else:
field_ids.append(field_id.value)
return field_ids
return default_field_ids
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='RDC Prometheus plugin.')
parser.add_argument('--listen_port', default=5000, type=int, help='The listen port of the plugin (default: 5000)')
parser.add_argument('--rdc_embedded', default=False, action='store_true', help='Run RDC in embedded mode (default: standalone mode)')
parser.add_argument('--rdc_ip_port' , default='localhost:50051', help='The rdcd IP and port in standalone mode (default: localhost:50051)')
parser.add_argument('--rdc_unauth', default=False, action='store_true', help='Set this option if the rdcd is running with unauth in standalone mode (default: false)')
parser.add_argument('--rdc_update_freq', default=10, help='The fields update frequency in seconds (default: 10)')
parser.add_argument('--rdc_max_keep_age', default=3600, help='The max keep age of the fields in seconds (default: 3600)')
parser.add_argument('--rdc_max_keep_samples', default=1000, help='The max samples to keep for each field in the cache (default: 1000)')
parser.add_argument('--rdc_fields', default=None, nargs='+', help='The list of fields name needs to be watched, for example, " --rdc_fields RDC_FI_GPU_TEMP RDC_FI_POWER_USAGE " (default: predefined fields in the plugin)')
parser.add_argument('--rdc_fields_file', default=None, help='The list of fields name can also be read from a file with each field name in a separated line (default: None)')
parser.add_argument('--rdc_gpu_indexes', default=None, nargs='+', help='The list of GPUs to be watched (default: All GPUs)')
parser.add_argument('--enable_plugin_monitoring', default=False, action='store_true', help = 'Set this option to collect process metrics of the plugin itself (default: false)')
args = parser.parse_args()
field_ids = get_field_ids(args)
rdc_ip_port = args.rdc_ip_port
if args.rdc_embedded:
rdc_ip_port = None
reader = PrometheusReader(rdc_ip_port, field_ids, args.rdc_update_freq*1000000,
args.rdc_max_keep_age, args.rdc_max_keep_samples,
args.rdc_gpu_indexes, args.rdc_unauth, args.enable_plugin_monitoring)
start_http_server(args.listen_port)
print("The RDC Prometheus plugin listen at port %d" % (args.listen_port))
time.sleep(3)
while True:
reader.process()
time.sleep(1)
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# global config
global:
scrape_interval: 10s # Set the scrape interval to every 10 seconds. Default is every 1 minute.
evaluation_interval: 10s # Evaluate rules every 10 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# A scrape configuration where the endpoints to scrape will be defined at prometheus_targets.json:
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'rdc'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
file_sd_configs:
- files:
- 'prometheus_targets.json'