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boto script to find and stop idle instances
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import argparse | |
import boto3 | |
import datetime | |
from dateutil.tz import tzutc | |
def is_in_autoscale_group(region, instance_id): | |
asg = boto3.client('autoscaling', region_name=region) | |
instances = \ | |
asg.describe_auto_scaling_instances(InstanceIds=[instance_id]) | |
instance_status = instances['AutoScalingInstances'] | |
if instance_status: | |
print "Instance %s is in autoscale group %s" \ | |
% (instance_id, instance_status[0]['AutoScalingGroupName']) | |
return True | |
return False | |
def stop_idle_instances(region, tag_key, tag_values, | |
idle_period_secs, minimum): | |
ec2 = boto3.client('ec2', region_name=region) | |
ec2res = boto3.resource('ec2', region_name=region) | |
c = boto3.client('cloudwatch', region_name=region) | |
values = tag_values.split(",") | |
filters = [] | |
if tag_key: | |
f0 = {} | |
f0['Name'] = "tag:{}".format(tag_key) | |
f0['Values'] = values | |
filters.append(f0) | |
f1 = {} | |
f1['Name'] = 'instance-state-name' | |
f1['Values'] = ['running'] | |
filters.append(f1) | |
# print filters | |
rs = ec2.describe_instances(Filters=filters) | |
now = datetime.datetime.now(tzutc()) | |
lookback = datetime.timedelta(seconds=idle_period_secs) | |
time_start = now - lookback | |
# print rs['Reservations'] | |
for r in rs['Reservations']: | |
for i in r['Instances']: | |
launch_time = i['LaunchTime'] | |
if is_in_autoscale_group(region, i['InstanceId']): | |
continue | |
age = now - launch_time | |
if age < datetime.timedelta(seconds=idle_period_secs): | |
print "Age of instance %s = %s, less than %s" %\ | |
(i['InstanceId'], str(age), str(lookback)) | |
continue | |
dim = [{'Name': 'InstanceId', 'Value': i['InstanceId']}] | |
period = idle_period_secs - (idle_period_secs % 60) | |
if period < 60: | |
period = 60 | |
metric = c.get_metric_statistics(Period=period, | |
StartTime=time_start, | |
EndTime=now, | |
MetricName='CPUUtilization', | |
Namespace='AWS/EC2', | |
Statistics=['Average'], | |
Dimensions=dim) | |
# print metric | |
if metric['Datapoints']: | |
average = metric['Datapoints'][0]['Average'] | |
print "Average for %s is %f. Minimum is %f" \ | |
% (i['InstanceId'], average, minimum) | |
if average < minimum: | |
print "About to stop instance %s" % i['InstanceId'] | |
inst = ec2res.Instance(i['InstanceId']) | |
inst.stop() | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--region", required=True, | |
dest='region', default=None) | |
parser.add_argument("--tag-key", required=False, | |
dest='tag_key', default='instance-purpose') | |
parser.add_argument("--tag-values", required=False, | |
dest='tag_values', default='test') | |
parser.add_argument("--idle-period-secs", required=False, | |
dest='idle_period_secs', type=int, default=86400) | |
parser.add_argument("--minimum-utilization", required=False, | |
dest='minimum', type=float, default=0.05) | |
result = parser.parse_args() | |
stop_idle_instances(region=result.region, | |
tag_key=result.tag_key, | |
tag_values=result.tag_values, | |
idle_period_secs=result.idle_period_secs, | |
minimum=result.minimum) |
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I just want the list of Instances where CPU Utilization is very minimal as well as Network Usage. I just want the list of the servers.