Setting Alarms for AI Workload Thresholds in AWS CloudWatch

Question

Pulumi · Accepted Answer

To set alarms for AI workload thresholds in AWS CloudWatch, you will need to define CloudWatch alarms for the metrics that are relevant to your AI workload. An AI workload could mean different things, but let's assume that you are interested in monitoring CPU and memory utilization metrics, which are common indicators of compute resource consumption.

These metrics are often gathered from Amazon EC2 instances or other AWS services that your AI workload might be using. To create a CloudWatch alarm, you can use the `MetricAlarm` resource from the Pulumi AWS SDK. With it, you can specify the metric you want to monitor, such as CPUUtilization, establish thresholds, and define what actions to take when those thresholds are crossed.

Below is a Pulumi program in Python that demonstrates how to set up a CloudWatch alarm for monitoring CPU utilization on an EC2 instance. The program assumes you have already set up an instance and you want to monitor its CPU usage:

```python
import pulumi
import pulumi_aws as aws

# First, specify the EC2 instance ID for which you want to monitor the CPU utilization.
# Replace 'INSTANCE_ID' with the actual ID of your instance.
instance_id = 'INSTANCE_ID'

# Create a CloudWatch Metric Alarm to monitor the CPU utilization.
cpu_utilization_alarm = aws.cloudwatch.MetricAlarm("cpuUtilizationAlarm",
    comparison_operator="GreaterThanOrEqualToThreshold",
    evaluation_periods=1,
    metric_name="CPUUtilization",
    namespace="AWS/EC2",
    period=300,
    statistic="Average",
    threshold=80,  # Set the threshold to 80%. Adjust based on your needs.
    alarm_description="Alarm when CPU exceeds 80%",
    datapoints_to_alarm=1,
    dimensions={
        "InstanceId": instance_id,
    },
    alarm_actions=[
        # You will need to specify an SNS topic ARN or any other action (e.g., Auto Scaling action) here.
        # Replace 'SNS_TOPIC_ARN' with your SNS Topic ARN to receive notifications when the alarm state is reached.
        "SNS_TOPIC_ARN"
    ],
    ok_actions=[
        # Similarly, specify actions to take when the metric falls below the threshold and the state is OK.
        "SNS_TOPIC_ARN"
    ],
    # Additional actions can be added for other states such as INSUFFICIENT_DATA.
)

pulumi.export('cpu_utilization_alarm_arn', cpu_utilization_alarm.arn)
```

This program defines an alarm that monitors the average CPU utilization (`CPUUtilization`) of an EC2 instance over a period of 5 minutes (`period=300` seconds). If the average CPU usage is greater or equal to 80% for one consecutive period, an alarm state will be triggered (`threshold=80`, `evaluation_periods=1`).

When the alarm state is reached, it will perform actions defined under `alarm_actions`. Usually, this involves notifying an SNS topic, but you can also perform other actions such as triggering an Auto Scaling event. Make sure to replace `SNS_TOPIC_ARN` with your own SNS topic ARN where the notifications will be sent.

The `ok_actions` are actions to be executed when the alarm state resolves to OK from ALARM, which typically involves sending a resolution notification to an SNS topic, or you may choose to leave it out if no action is necessary.

The last line `pulumi.export` is used to output the ARN (Amazon Resource Name) of the alarm for reference, so that you can easily identify this resource within AWS or when listing Pulumi stack outputs.

Make sure to replace placeholder values such as `INSTANCE_ID` and `SNS_TOPIC_ARN` with real values from your AWS environment before running this program.