How Do I Build a Gcp Logging Metric With Pulumi?

Introduction

In this guide, we will create a Google Cloud Platform (GCP) logging metric using Pulumi. A logging metric allows you to extract values from logs and use them to create custom metrics, which can be used for monitoring and alerting.

Step-by-Step Explanation

Step 1: Set up your Pulumi project

1. Ensure you have Pulumi installed. If not, you can install it from here.
2. Create a new Pulumi project: pulumi new typescript.
3. Follow the prompts to set up your project.

Step 2: Install GCP Pulumi provider

1. Install the GCP Pulumi provider: npm install @pulumi/gcp.

Step 3: Create the logging metric

1. In your index.ts file, import the necessary Pulumi and GCP packages:

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

2. Define the logging metric:

   const logMetric = new gcp.logging.Metric("my-log-metric", {
       name: "my-log-metric",
       description: "A custom logging metric",
       filter: "resource.type=\"gce_instance\" AND severity>=ERROR",
       metricDescriptor: {
           metricKind: "DELTA",
           valueType: "INT64",
           unit: "1",
           labels: [{
               key: "instance_id",
               valueType: "STRING",
               description: "The ID of the instance"
           }]
       }
   });
   

3. Export the name of the metric:

   export const metricName = logMetric.name;
   

Step 4: Deploy the stack

1. Run pulumi up to deploy your stack.
2. Confirm the deployment and check the output for the metric name.

Conclusion

You have successfully created a GCP logging metric using Pulumi. This metric can now be used for monitoring and alerting based on your custom logs.

Full Code Example

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

const logMetric = new gcp.logging.Metric("my-log-metric", {
    name: "my-log-metric",
    description: "A custom logging metric",
    filter: "resource.type=\"gce_instance\" AND severity>=ERROR",
    metricDescriptor: {
        metricKind: "DELTA",
        valueType: "INT64",
        unit: "1",
        labels: [{
            key: "instance_id",
            valueType: "STRING",
            description: "The ID of the instance"
        }]
    }
});

export const metricName = logMetric.name;