批量查询监控数据

通过Demo演示，为您介绍如何看维度是instance_id为faea5b75-e390-4e2b-8733-9226a9026070,faea5b75-e390-4e2b-8733-9226a9026071,faea5b75-e390-4e2b-8733-9226a9026072,faea5b75-e390-4e2b-8733-9226a9026073,faea5b75-e390-4e2b-8733-9226a9026074的弹性云服务器的监控数据cpu_util，在2024-08-21 00:00:00到2024-08-21 23:59:59时间内，原始数据的平均值。查询5个指标，监控周期为60000ms，可算出(to - from)最大值为"36000000"，设定的请求参数to - from=86399000超出最大值36000000。根据公式：“指标数量 * (to - from) / 监控周期 ≤ 3000”。请求参数的from值会自动调整为to-36000000=1724219999000。

{
    "metrics": [
       {
            "namespace": "SYS.E CS ",
            "dimensions": [
                {
                    "name": "instance_id",
                    "value": "faea5b75-e390-4e2b-8733-9226a9026070"
                }
            ],
            "metric_name": "cpu_util"
        },
       {
            "namespace": "SYS.ECS",
            "dimensions": [
                {
                    "name": "instance_id",
                    "value": "faea5b75-e390-4e2b-8733-9226a9026071"
                }
            ],
            "metric_name": "cpu_util"
        },
                     {
            "namespace": "SYS.ECS",
            "dimensions": [
                {
                    "name": "instance_id",
                    "value": "faea5b75-e390-4e2b-8733-9226a9026072"
                }
            ],
            "metric_name": "cpu_util"
        },
                     {
            "namespace": "SYS.ECS",
            "dimensions": [
                {
                    "name": "instance_id",
                    "value": "faea5b75-e390-4e2b-8733-9226a9026073"
                }
            ],
            "metric_name": "cpu_util"
        },
                     {
            "namespace": "SYS.ECS",
            "dimensions": [
                {
                    "name": "instance_id",
                    "value": "faea5b75-e390-4e2b-8733-9226a9026074"
                }
            ],
            "metric_name": "cpu_util"
        },
    ], 
    "from": 1724169600000,
    "to": 1724255999000,
    "period": "1",
    "filter": "average"
}