Creating Custom Metrics for a GCP Service

In this solution, we will create custom metrics for a Google Cloud Platform (GCP) service using Pulumi in TypeScript. The key services involved in this solution are Google Cloud Monitoring and Pulumi. Google Cloud Monitoring allows us to create and manage custom metrics, while Pulumi enables us to define and deploy infrastructure as code.

Step-by-Step Explanation

1. Set up Pulumi and GCP Provider: First, we need to set up Pulumi and configure the GCP provider with the necessary credentials and project information.
2. Create a Custom Metric Descriptor: We will define a custom metric descriptor that specifies the name, type, and labels for the custom metric.
3. Create a Metric Resource: Using the custom metric descriptor, we will create a metric resource that can be used to record and monitor custom metrics.
4. Deploy the Infrastructure: Finally, we will deploy the infrastructure using Pulumi, which will create the custom metric in GCP Monitoring.

Key Points

• Pulumi allows us to define and manage infrastructure as code, making it easier to version control and automate deployments.
• Google Cloud Monitoring provides powerful tools for creating and managing custom metrics, enabling better observability and monitoring of GCP services.
• By using Pulumi with GCP Monitoring, we can automate the creation and management of custom metrics, ensuring consistency and reducing manual effort.

Conclusion

In this solution, we demonstrated how to create custom metrics for a GCP service using Pulumi in TypeScript. We covered the key steps involved, including setting up Pulumi and the GCP provider, creating a custom metric descriptor, and deploying the infrastructure. By leveraging Pulumi and Google Cloud Monitoring, we can achieve better observability and monitoring for our GCP services.

Full Code Example

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

// Create a custom metric descriptor
const customMetricDescriptor = new gcp.monitoring.MetricDescriptor("customMetricDescriptor", {
    type: "custom.googleapis.com/my_custom_metric",
    labels: [{
        key: "environment",
        valueType: "STRING",
        description: "The environment where the metric is recorded"
    }],
    metricKind: "GAUGE",
    valueType: "DOUBLE",
    unit: "1",
    description: "This is a custom metric for monitoring purposes",
    displayName: "My Custom Metric",
    project: "my-gcp-project-id"
});

export const metricDescriptorName = customMetricDescriptor.name;