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app.py
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app.py
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import os
import random
import time
import boto3
import argparse
from prometheus_client import start_http_server, Gauge, generate_latest
from functools import reduce
PORT = 8000
INTERVAL_IN_SECONDS = 5
class EIPTotal(object):
def __init__(self, prefix='eip', desc='Total number of EIPs'):
self.prefix = prefix
self.desc = desc
self.total = Gauge(self.prefix + '_total', self.desc)
self.in_use_total = Gauge(self.prefix + '_in_use_total', self.desc)
self.ec2 = boto3.client('ec2')
def emit(self):
all_ips = self.ec2.describe_addresses()['Addresses']
in_use_total = 0
for ip in all_ips:
if 'AssociationId' in ip:
in_use_total += 1
self.total.set(len(all_ips))
self.in_use_total.set(in_use_total)
class EBS(object):
def __init__(self, prefix='ebs', desc='EBS metrics'):
self.prefix = prefix
self.desc = desc
self.ec2 = boto3.resource('ec2')
self.metrics = {
'Total':{
'Gauge': Gauge(self.prefix + '_total', 'Total number of EBS volumes'),
'Reducer': (lambda acc, y: acc + 1),
},
'EncryptedTotal': {
'Gauge': Gauge(self.prefix + '_encrypted_total', 'Total number of encrypted EBS volumes'),
'Reducer': (lambda acc, y: acc + (1 if y.encrypted else 0)),
},
'InUseTotal': {
'Gauge': Gauge(self.prefix + '_in_use_total', 'Total number of in-use EBS volumes'),
'Reducer': (lambda acc, y: acc + (1 if y.state == 'in-use' else 0)),
},
}
def emit(self):
all_volumes = list(self.ec2.volumes.all())
for k in self.metrics:
x = reduce(self.metrics[k]['Reducer'], all_volumes, 0)
self.metrics[k]['Gauge'].set(x)
class S3BucketTotal(object):
def __init__(self, prefix='s3_bucket', desc='Total number of S3 Buckets'):
self.prefix = prefix
self.desc = desc
self.total= Gauge(self.prefix + "_total", self.desc)
self.s3 = boto3.resource('s3')
def emit(self):
bucket_count = len(list(self.s3.buckets.all()))
self.total.set(bucket_count)
class RandomNumber(object):
def __init__(self, prefix='random_number', desc='A random number'):
self.prefix = prefix
self.desc = desc
self.gauge = Gauge(self.prefix, self.desc)
def emit(self):
self.gauge.set(random.random())
metrics = [
RandomNumber(),
EIPTotal(),
EBS(),
S3BucketTotal()
]
def update_metrics():
for m in metrics:
m.emit()
def run_interactive():
update_metrics()
return generate_latest().decode("utf-8")
def run_daemon():
port = os.environ.get("PORT", PORT)
print("Running on port {}".format(port))
start_http_server(int(port))
while True:
update_metrics()
time.sleep(INTERVAL_IN_SECONDS)
def lambda_handler(event, context):
return {
'statusCode': 200,
'body': run_interactive(),
'headers': {
'Content-Type': 'text/plain',
},
}
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--daemonize",
help="run metrics exporter as a daemon",
action="store_true")
args = parser.parse_args()
if args.daemonize:
run_daemon()
else:
print(run_interactive())
if __name__ == '__main__':
main()