AI Service Availability Monitoring with AlertmanagerConfig

Question

Pulumi · Accepted Answer

To set up service availability monitoring with alerting using Pulumi, you'll need to create a monitoring solution that can perform health checks on your service and trigger alerts if it detects any issues. You can achieve this with various cloud providers; however, for demonstration purposes, we will use Google Cloud's Monitoring and Alerting services since the Pulumi Registry Results provided a match with a Google Cloud resource `google-native.monitoring/v3.UptimeCheckConfig` that can be used for this purpose.

The Google Cloud Platform (GCP) provides a native monitoring service that can be configured through Pulumi to ensure our services are healthy and to notify us when something goes wrong. We will use Pulumi's Google Native provider to configure an uptime check for our service and an alert policy that will notify us if the service goes down.

Here is an outline of the steps we'll perform:

1. **Create an Uptime Check**: This is a configuration that instructs Google Cloud Monitoring to perform periodic checks on your service from various locations around the world.
2. **Create an Alert Policy**: Should the uptime check fail, this policy dictates that an alert should be fired.
3. **Set up Notification Channels**: These are the mediums through which alerts will be delivered. Google Cloud supports a variety of channels, such as email, SMS, Slack, and more.

Let's craft a Pulumi program in Python that accomplishes the above tasks:

```python
import pulumi
import pulumi_google_native as google_native

# Here we assume that the user has already configured Pulumi for GCP
# such as setting the project, region and credentials via the `pulumi config` command line or through environment variables.

# Create an Uptime Check Config
uptime_check = google_native.monitoring.v3.UptimeCheckConfig("myUptimeCheck",
    display_name="My Service Uptime Check",
    period="300s", # How often to perform the check (in seconds)
    timeout="10s", # How long to wait before considering the check as failed (in seconds)
    http_check=google_native.monitoring.v3.UptimeCheckConfigHttpCheckArgs(
        path="/", # Check the root path to see if the service is up
        port=80, # Default HTTP port
        valid_statuses=["200"], # Status codes which signify that the service is healthy
    ),
    selected_regions=["USA"], # Regions from which the check is performed
    resource_type="uptime_url", # Type of resource to monitor
)

# Create an Alert Policy
alert_policy = google_native.monitoring.v3.AlertPolicy("myAlertPolicy",
    display_name="My Service Alert Policy",
    combiner="OR", # Combining policy conditions using an OR
    conditions=[
        google_native.monitoring.v3.AlertPolicyConditionArgs(
            display_name="Service Down",
            condition_threshold=google_native.monitoring.v3.AlertPolicyConditionThresholdArgs(
                filter="metric.type=\"monitoring.googleapis.com/uptime_check/check_passed\" AND resource.label.\"uptime_check_id\" = \"{}\"".format(uptime_check.id),
                # Alert if zero successful checks have been made over the past 5 minutes
                duration="300s", # Evaluation window duration
                threshold_value=0.0, # Threshold for firing the alert
                aggregations=[ # Define the aggregation
                    google_native.monitoring.v3.AlertPolicyConditionThresholdAggregationsArgs(
                        alignment_period="300s",
                        per_series_aligner="ALIGN_RATE"
                    )
                ],
                comparison="COMPARISON_LTE", # Alert when the value is less than or equal to the threshold
            )
        )
    ],
    # Notification channels configuration (this could be an email, SMS, etc. - you would need to have these set up in GCP)
    notification_channels=[] # Replace with your notification channel IDs
)

pulumi.export("uptime_check_name", uptime_check.display_name)
pulumi.export("alert_policy_name", alert_policy.display_name)
```

In the above program:

- We set up an `UptimeCheckConfig` to monitor the availability of a service by checking the HTTP status code at a specified path and port. If the service returns a successful status code (in our case, `200`), it is considered available; otherwise, it’s down.
- We then create an `AlertPolicy` that uses an alert condition to determine if the uptime check passed or failed in the last `300s` (5 minutes). If it failed, the alert is triggered.
- In a real-world scenario, you would need to specify `notification_channels` with the IDs of pre-configured Google Cloud Notification Channels that you want alerts to be sent to.
- We export the display names of the uptime check and alert policy to get easy access to these names from the Pulumi stack outputs.

To fully configure notifications, you need to set up Notification Channels in Google Cloud Monitoring, which is not covered here. You would do that through the Google Cloud Console or using Pulumi to create `NotificationChannel` resources, then refer to those channels by their IDs in the `alert_policy` resource.

Remember to adapt the example accordingly to match the specific HTTP path, port, and other configurations relevant to your service.