Amazon CloudWatch is a monitoring and observability service that provides data and actionable insights for AWS, hybrid, and on-premises applications and infrastructure resources. It allows you to collect metrics, logs, and events, helping you monitor system health, detect anomalies, and keep applications running smoothly.

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Example

To create the AWSCloudWatchHandler object with AWS credentials. The AWSCloudWatchHandler connects to Amazon CloudWatch using access credentials (access key, secret key) and specifies a region. It enables seamless interaction with CloudWatch for tasks like fetching metrics and monitoring resources.
cloudwatch_handler_test.py
import os
from superagentx_handlers.aws.cloudwatch import AWSCloudWatchHandler

cloudwatch_handler = AWSCloudWatchHandler(
    aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
    region_name="us-east-1"
)
Get Metric Data:
The get_metric_data method retrieves metrics for a specific namespace, metric, and dimensions within a given time range. from datetime import datetime, timedelta 
end_time = datetime.utcnow()
start_time = end_time - timedelta(hours=1)

response = await cloudwatch_handler.get_metric_data(
    namespace="AWS/EC2",
    metric_name="CPUUtilization",
    start_time=start_time,
    end_time=end_time,
    period=300,  # granularity in seconds
    statistics=["Average"],  # can also use Sum, Minimum, Maximum, etc.
    dimensions=[{"Name": "InstanceId", "Value": "i-1234567890abcdef0"}]
)
print(response)