컨테이너 모니터링 및 경보 처리에 Docker를 사용하는 방법

import docker client = docker.DockerClient(base_url='unix://var/run/docker.sock') def monitor_container(container_id): container = client.containers.get(container_id) stats = container.stats(stream=False) print(stats) if __name__ == '__main__': monitor_container('CONTAINER_ID')

scrape_configs: - job_name: 'cadvisor' scrape_interval: 5s static_configs: - targets: ['cadvisor:8080']

from prometheus_api_client import PrometheusConnect prometheus = PrometheusConnect(url='http://localhost:9090') def get_container_cpu_usage(container_id): query = 'sum(rate(container_cpu_usage_seconds_total{container_label_com_docker_swarm_service_id="%s"}[5m]))' % (container_id) result = prometheus.custom_query(query) return result['data']['result'] if __name__ == '__main__': container_id = 'CONTAINER_ID' cpu_usage = get_container_cpu_usage(container_id) print(cpu_usage)

import docker import smtplib from email.mime.text import MIMEText client = docker.DockerClient(base_url='unix://var/run/docker.sock') def monitor_container(container_id): container = client.containers.get(container_id) stats = container.stats(stream=False) # 检查某个指标是否超过阈值，这里以CPU使用率为例 cpu_usage = stats['cpu_stats']['cpu_usage']['total_usage'] cpu_limit = stats['cpu_stats']['cpu_usage']['percpu_usage'].size cpu_usage_percent = cpu_usage / cpu_limit * 100 if cpu_usage_percent > 80: send_alert_email(container_id, cpu_usage_percent) def send_alert_email(container_id, cpu_usage_percent): msg = MIMEText('容器 %s 的CPU使用率超过80%%，当前使用率为%.2f%%' % (container_id, cpu_usage_percent), 'plain', 'utf-8') msg['Subject'] = '容器告警' msg['From'] = 'alert@example.com' msg['To'] = 'admin@example.com' server = smtplib.SMTP('smtp.example.com') server.login('username', 'password') server.sendmail('alert@example.com', ['admin@example.com'], msg.as_string()) server.quit() if __name__ == '__main__': monitor_container('CONTAINER_ID')