Checkly Browser Checks for AI-Powered Web Applications

Question

Pulumi · Accepted Answer

Checkly is a monitoring platform that allows you to create browser checks which are essentially automated scripts that simulate user interactions with your web application. These checks can ensure that your AI-powered web applications are functioning correctly from the user's perspective.

To configure browser checks for your AI-powered applications using Pulumi, you would integrate with Checkly's API. However, as of my last update, Pulumi doesn't provide a dedicated Checkly provider. Still, you can utilize Pulumi to automate interactions with the Checkly API through custom resources or using Pulumi's dynamic provider interface.

Below is a basic example of how you might define a custom resource in Pulumi for interacting with Checkly. This conceptual program assumes you have a way to interact with Checkly's API (e.g., you have already set up the necessary API tokens and understand the API endpoints to create a browser check).

Please note this is a conceptual program, as there's no direct Pulumi Checkly provider as of now:

```python
import json
import pulumi
from pulumi.dynamic import Resource, ResourceProvider, CreateResult

class ChecklyProvider(ResourceProvider):
    def create(self, props):
        # Logic to create a browser check in Checkly
        # You would use Checkly API calls here to create the check
        # And return the ID or some identifier of the created check

# Dummy check_id returned, in reality this would be obtained
        # from Checkly after creating the check through its API
        check_id = "dummy-check-id"

return CreateResult(id_=check_id, outs={**props})

class BrowserCheck(Resource):
    def __init__(self, name, args, opts=None):
        super().__init__(ChecklyProvider(), name, args, opts)

# Arguments for the browser check
browser_check_args = {
    "name": "My AI App Browser Check",
    "url": "https://my-ai-app.com",  # The URL of the AI-Powered Web Application
    "script": """
        const page = await browser.newPage();
        await page.goto('https://my-ai-app.com');
        // Add your Checkly check script here
    """,
    # Optionally, include further configurations like check frequency, alert settings, etc.
}

# Create a new browser check resource
browser_check = BrowserCheck("my-ai-app-check", browser_check_args)

# Export the check ID
pulumi.export("browser_check_id", browser_check.id)
```

In the `ChecklyProvider` class, we'd implement the actual HTTP requests to Checkly's API endpoints (`create`, `read`, `update`, `delete`, etc.). However, for the scope of this explanation, we've abstracted the API interaction details and assumed the `create` method would successfully create a new browser check and return its ID.

The `BrowserCheck` class is a custom Pulumi resource that represents a browser check in Checkly. When you instantiate this class and pass the necessary arguments, Pulumi will manage the browser check as it would with any other resource.

The `browser_check_args` dictionary holds the configuration for the check such as the name, the URL to check, and the actual Puppeteer or Playwright script that performs the check. You can expand this to include other Checkly configurations such as check intervals and alert settings.

In this example, `pulumi.export` is used to output the check's ID after the Pulumi deployment so that you can refer to this ID outside of Pulumi if needed.

To successfully use this program to manage Checkly checks, you would need to fill in the API logic in the methods of `ChecklyProvider`, ensure you handle authentication securely, and map the actual response from Checkly API to your Pulumi resources.

If you plan to use this in production, consider handling proper error reporting, update and delete methods, and any other resource lifecycle behaviors that Pulumi can react to during operations like pulumi up or pulumi destroy.