尊龙凯时人生就是博

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DockerÊÇÒ»ÖÖÊ¢ÐеÄÈÝÆ÷»¯ÊÖÒÕ  £¬¿ÉÒÔÔÚLinux²Ù×÷ϵͳÉÏÆô¶¯ºÍÖÎÀíÈÝÆ÷ ¡£Ê¹ÓÃDocker¿ÉÒÔ¿ìËÙ°²ÅźÍÖÎÀíÓ¦ÓóÌÐò  £¬Ìá¸ß¿ª·¢ºÍ°²ÅÅЧÂÊ ¡£È»¶ø  £¬Ëæ×ÅÓ¦ÓóÌÐòÊýÄ¿µÄÔöÌíÒÔ¼°ÈÝÆ÷»¯ÇéÐεÄÖØ´óÐÔ  £¬ÈÝÆ÷µÄ×ÊԴʹÓÃÂʳÉΪһ¸öÖ÷ÒªµÄÎÊÌâ ¡£ÔÚ±¾ÎÄÖÐ  £¬ÎÒÃǽ«Ì½ÌÖÔõÑùÆÊÎöºÍÓÅ»¯DockerÈÝÆ÷µÄ×ÊԴʹÓÃÂÊ ¡£

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$ docker stats

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$ docker stats --format "table {{.Container}}    {{.CPUPerc}}    {{.MemUsage}}    {{.MemPerc}}"

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$ docker stats --format "table {{.Container}}    {{.NetIO}}    {{.BlockIO}}"

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ʹÓÃDocker API¼à¿ØÈÝÆ÷×ÊԴʹÓÃÂÊ

³ýÁËÏÂÁîÐй¤¾ßÍâ  £¬Docker»¹ÌṩÁËÒ»Ì×ÍêÕûµÄAPIÀ´¼à¿ØÈÝÆ÷µÄ×ÊԴʹÓÃÂÊ ¡£Í¨¹ýʹÓÃDocker API  £¬ÎÒÃÇ¿ÉÒÔ½«ÈÝÆ÷µÄÐÔÄÜÊý¾Ýµ¼Èëµ½ÆäËûϵͳÖоÙÐÐÆÊÎöºÍ´¦Àí ¡£

ÒÔÏÂÊÇÒ»¸öʹÓÃDocker API¼à¿ØÈÝÆ÷CPUʹÓÃÂʵÄʾÀý´úÂ룺

import docker

def monitor_container_resource_usage(container_id):
    client = docker.from_env()
    container = client.containers.get(container_id)
    stats = container.stats(stream=False)
    cpu_usage = stats['cpu_stats']['cpu_usage']['total_usage']
    cpu_limit = stats['cpu_stats']['cpu_usage']['percpu_usage']
    cpu_percent = round((cpu_usage / sum(cpu_limit) * 100), 2)
    print(f"Container {container_id} CPU utilization: {cpu_percent}%")

if __name__ == "__main__":
    container_id = "d6d39e8dc22f"  # ÊäÈëÈÝÆ÷ID
    monitor_container_resource_usage(container_id)

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ÀýÈç  £¬ÒÔÏÂÏÂÁ½¨ÉèÒ»¸öÃûΪmycontainerµÄÈÝÆ÷  £¬ÏÞÖÆÈÝÆ÷µÄCPUʹÓÃÁ¿Îª1¸ö½¹µã  £¬²¢ÏÞÖÆÈÝÆ÷µÄÄÚ´æʹÓÃÁ¿Îª1 GB£º

$ docker run --name mycontainer --cpus 1 --memory 1g -d myimage:latest

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Docker Documentation: https://docs.docker.com/

Docker SDK for Python Documentation: https://docker-py.readthedocs.io/

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