Alerting for Anomaly Detection Systems with Opsgenie

Question

Pulumi · Accepted Answer

To set up alerting for anomaly detection systems using Opsgenie with Pulumi, we'll need to define several resources. Opsgenie is an incident management platform that provides tools to alert the right people, manage alerts, and ensure that the system issues are resolved promptly. Pulumi allows us to define infrastructure as code, making it easy to manage and version control your Opsgenie setup.

Here, we will create a Pulumi program that sets up the following components in Opsgenie:

1. A **User** - An Opsgenie user who will receive notifications.
2. A **Team** - A team in Opsgenie that will be associated with alerts.
3. A **Service** - A definition of the service in Opsgenie, representing the anomaly detection system.
4. An **Escalation** - An escalation policy to escalate the alert if the primary user does not acknowledge it.
5. A **Schedule** - A schedule to determine on-call responsibilities within the team.
6. A **Notification Rule** - A notification rule to specify how and when to notify the users.
7. An **Alert Policy** - An alert policy which defines the characteristics of alerts that will trigger notifications.

In the setup below, we're assuming that you already have an Opsgenie provider configured in your Pulumi program. Please note that you'll have to provide proper API keys and initialize your Opsgenie provider accordingly before you run this program.

Let's dive into the Pulumi program written in Python:

```python
import pulumi
import pulumi_opsgenie as opsgenie

# Create an Opsgenie user to be notified.
user = opsgenie.User("anomaly-detection-user",
    username="alert-user@example.com",
    full_name="Alert User",
    role="User")

pulumi.export('Opsgenie Username', user.username)

# Create an Opsgenie team that handles anomaly detection alerts.
team = opsgenie.Team("anomaly-detection-team",
    name="Anomaly Detection Team",
    description="Team responsible for handling anomaly detection alerts.")

pulumi.export('Opsgenie Team ID', team.id)

# Define a service that represents the anomaly detection system.
service = opsgenie.Service("anomaly-detection-service",
    name="Anomaly Detection Service",
    team_id=team.id,
    description="Service for anomaly detection.")

# Define an escalation rule to ensure the alert is treated with urgency.
escalation = opsgenie.Escalation("anomaly-detection-escalation",
    name="Anomaly Detection Escalation",
    owner_team_id=team.id,
    rules=[opsgenie.EscalationRuleArgs(
        condition="if-not-acknowledged",
        delay=10,  # Time before the escalation in minutes
        notify_type="default",
        recipients=[opsgenie.EscalationRecipientArgs(
            id=user.id,
            type="user",
        )],
    )])

# An on-call schedule for the team.
schedule = opsgenie.Schedule("anomaly-detection-schedule",
    name="Anomaly Detection On-Call Schedule",
    owner_team_id=team.id,
    description="On-call schedule for anomaly detection.")

# Create a notification rule to alert the relevant user.
notification_rule = opsgenie.NotificationRule("anomaly-detection-notification-rule",
    action_type="schedule-end",
    order=1, # The order in which notification rule will be processed
    enabled=True,
    username=user.username,
    criterias=[opsgenie.NotificationRuleCriteriaArgs(
        type="match-all-conditions",
        conditions=[opsgenie.NotificationRuleConditionArgs(
            field="tags",
            operation="contains",
            expected_value="anomaly",
        )],
    )])

# Define an alert policy that specifies when and how alerts are created.
alert_policy = opsgenie.AlertPolicy("anomaly-detection-alert-policy",
    name="Anomaly Detection System Alert Policy",
    team_id=team.id,
    message="Anomaly detected! Please respond immediately.",
    filters=[
        opsgenie.AlertPolicyFilterArgs(
            type="match-all-conditions",
            conditions=[
                opsgenie.AlertPolicyFilterConditionArgs(
                    field="tags",
                    operation="contains",
                    expected_value="anomaly",
                ),
            ],
        ),
    ])

# Exports
pulumi.export('Opsgenie Alert Policy ID', alert_policy.id)
```

This program will set up a basic anomaly detection alerting pipeline in Opsgenie:

- **Opsgenie User**: A user entity is created in Opsgenie to receive alerts.
- **Opsgenie Team**: A team is defined for managing the anomaly detection system alerts.
- **Service**: Representing the anomaly detection system that requires monitoring.
- **Escalation**: Policies that describe what will happen if an alert isn't acknowledged within a specified time frame.
- **Schedule**: Defines the on-call responsibilities for the team.
- **Notification Rule**: Defines how notifications are sent out. This one will send notifications for alerts tagged with "anomaly".
- **Alert Policy**: Defines the criteria for when an alert will be created, in this case, for anomalies.

Once you have this code, you will need to initialize a new Pulumi project or use an existing one and place the above code in a Python file (e.g., `__main__.py`). Then, using the Pulumi CLI, you can deploy these resources to your Opsgenie account.

Please replace `"alert-user@example.com"` with the email of the actual user you want to alert, and ensure all ID fields refer to your actual Opsgenie resources.

Remember that the program assumes you have already configured your `pulumi_opsgenie` provider. You will need to ensure that all the operations you perform comply with your Opsgenie's account policies and settings.