ECSクラスタのCPU予約量をタスクごとに集計するやーつ

ecs_cpu_analyzer.py

import os
import boto3
from collections import defaultdict

CLUSTER = os.environ.get('TARGET_CLUSTER')

ecs = boto3.client('ecs')

token = ''
cpus = defaultdict(int)

while True:
    res = ecs.list_tasks(cluster=CLUSTER, desiredStatus='RUNNING', maxResults=100, launchType='EC2', nextToken=token)
    tasks = res['taskArns']
    tasks = ecs.describe_tasks(cluster=CLUSTER, tasks=tasks)
    for t in tasks['tasks']:
        cpus[t['taskDefinitionArn'].split('/')[-1]] += int(t['cpu'])
    token = res.get('nextToken')
    if not token:
        break

for name, cpu in cpus.items():
    print(f'{cpu} {name}')

使い方.md

export TARGET_CLUSTER=クラスタ名
export AWS_XXXX = ...

pip install boto3

python3 ecs_cpu_analyzer.py | sort -n