1. CPU Utilization Alerts for High-Volume Machine Learning Inference on DigitalOcean App Platform


    To set up CPU utilization alerts for high-volume machine learning inference on the DigitalOcean App Platform, you'll use the digitalocean.MonitorAlert resource. This resource allows you to monitor specific metrics and conditions, like CPU utilization, and send notifications when those conditions are met or exceeded.

    Here's a Pulumi program in Python that defines a CPU utilization alert on the DigitalOcean App Platform. It demonstrates how to create a monitoring alert that would notify you via email and Slack when the CPU usage goes beyond a certain threshold.

    import pulumi import pulumi_digitalocean as digitalocean # Monitoring alert for CPU Utilization on the DigitalOcean App Platform. # The threshold value should be adjusted based on the expected CPU utilization of your application. cpu_utilization_alert = digitalocean.MonitorAlert( "cpuUtilizationAlert", type="v1/insights/droplet/cpu", value=70.0, # The threshold for CPU utilization percentage. window="5m", # The time frame for which the value will be aggregated and evaluated. compare="GreaterThan", # The comparison operator to use when comparing the current value against the threshold. description="Alert when CPU utilization exceeds 70% for 5 minutes", enabled=True, # To turn on the CPU utilization monitoring alert. alerts=digitalocean.MonitorAlertAlertsArgs( emails=["admin@example.com"], # Email to which the alerts will be sent. slacks=[ digitalocean.MonitorAlertAlertsSlackArgs( url="https://hooks.slack.com/services/your/slack/hook", # Slack webhook URL. channel="#alerts", # Slack channel to send notifications to. ), ], ), ) # Export the alert ID for easy reference pulumi.export("cpu_utilization_alert_id", cpu_utilization_alert.id)


    • digitalocean.MonitorAlert: This is the Pulumi resource used to create a monitoring alert on DigitalOcean. You provide it with desired conditions and notification details (MonitorAlert documentation).

    • type: Specifies the type of metric you want to monitor. Here, "v1/insights/droplet/cpu" represents the CPU utilization metric for a Droplet.

    • value: Sets the percentage threshold for the CPU utilization alert.

    • window: Defines the timeframe over which the reported CPU utilization is averaged.

    • compare: Determines the operator used for comparison with the threshold. In this case, we're triggering the alert when the CPU utilization is greater than 70%.

    • description: Provides a human-readable description of the alert.

    • enabled: A boolean to enable or disable the alert.

    • alerts: A collection of notification settings, specifying where alerts should be sent. You can adjust the emails and Slack channels. Be sure to replace the Slack webhook URL with your actual Slack incoming webhook URL.

    • pulumi.export: This line makes the ID of the created MonitorAlert available as an output of your Pulumi stack, allowing you to reference it easily later.

    Make sure you have installed Pulumi and configured your DigitalOcean provider. Then, you can save the above code in a file, say __main__.py, install the required Pulumi packages using the Python package manager pip, and finally, run it using the pulumi up command to set up your CPU utilization alerts on DigitalOcean. Remember to replace placeholder values with your actual account details and endpoints.