我的这个命令按预期工作。 但我想用 boto 代替。
aws cloudwatch get-metric-statistics \
--region ap-south-1 \
--namespace AWS/RDS \
--metric-name DBLoad \
--period 60 \
--statistics Average \
--start-time 2023-06-12T21:00:00Z \
--end-time 2023-06-12T23:59:00Z \
--dimensions Name=DBInstanceIdentifier,Value=sql-rds
boto支持所有参数吗?
Boto3 中提供了 AWS CloudWatch 功能,包括 get_metric_statistics 操作
请参阅此处:Boto3 文档 - CloudWatch 客户端 - get_metric_statistics
import boto3
from datetime import datetime, timedelta
client = boto3.client('cloudwatch', region_name='ap-south-1')
response = client.get_metric_statistics(
Namespace='AWS/RDS',
MetricName='DBLoad',
Dimensions=[
{
'Name': 'DBInstanceIdentifier',
'Value': 'sql-rds'
},
],
StartTime=datetime(2023, 6, 12, 21, 0, 0),
EndTime=datetime(2023, 6, 12, 23, 59, 0),
Period=60,
Statistics=['Average']
)
print(response)
注意。
Boto 不再由 AWS 官方维护
Boto 文档可能不是最新的
它不提供与 AWS 相同级别的支持 服务为 Boto3。
但是,如果您需要使用 Boto,文档位于:boto.ec2.cloudwatch
import boto
conn = boto.connect_cloudwatch()
region = 'ap-south-1'
namespace = 'AWS/RDS'
metric_name = 'DBLoad'
dimensions = {'DBInstanceIdentifier': 'sql-rds'}
start_time = '2023-06-12T21:00:00Z'
end_time = '2023-06-12T23:59:00Z'
period = 60
statistics = ['Average']
response = conn.get_metric_statistics(
period=period,
start_time=start_time,
end_time=end_time,
metric_name=metric_name,
namespace=namespace,
statistics=statistics,
dimensions=dimensions,
region=region
)
print(response)
您可以使用 boto3-
这样做import boto3
import matplotlib.pyplot as plt
from tabulate import tabulate
from unskript.enums.aws_k8s_enums import StatisticsType
from datetime import datetime, timedelta
timestamps = []
values = []
cloudwatchClient = boto3.client('cloudwatch', region_name='ap-south-1')
start_time = datetime(2023, 6, 12, 21, 0, 0)
end_time = datetime(2023, 6, 12, 23, 59, 0)
dimensions = [{'Name': 'name-1', ... }]
metric_name = 'DBLoad' # in your case
period = 60 #The granularity, in seconds, of the returned data points.
statistics = ['Average'] #in your case
res = cloudwatchClient.get_metric_data(
MetricDataQueries=[
{
'Id': metric_name.lower(),
'MetricStat': {
'Metric': {
'Namespace': 'AWS/RDS',
'MetricName': metric_name,
'Dimensions': dimensions
},
'Period': period,
'Stat': statistics,
},
},
],
StartTime= start_time,
EndTime=end_time,
ScanBy='TimestampAscending'
)
for timestamp in res['MetricDataResults'][0]['Timestamps']:
timestamps.append(timestamp)
for value in res['MetricDataResults'][0]['Values']:
values.append(value)
timestamps.sort()
values.sort()
plt.plot_date(timestamps, values, "-o")
data = []
for dt, val in zip(
res['MetricDataResults'][0]['Timestamps'],
res['MetricDataResults'][0]['Values']
):
data.append([dt.strftime('%Y-%m-%d::%H-%M'), val])
head = ["Timestamp", "Value"]
table = tabulate(data, headers=head, tablefmt="grid")
print(table)