1. Synthetic Transaction Monitoring for AI Service Endpoints with New Relic Synthetics

    Python

    Synthetic transaction monitoring is a powerful technique for proactively ensuring that your AI service endpoints are functioning correctly. Rather than waiting for real user interactions to highlight issues, synthetic monitoring tools simulate user behavior, allowing you to catch and address problems before they affect your users. New Relic Synthetics is a tool that provides this capability, allowing you to create monitors that check your service endpoints at regular intervals.

    In this Pulumi program, we're going to use New Relic's Pulumi integration to set up synthetic monitoring for an AI service endpoint. We'll define a newrelic.synthetics.Monitor, which will periodically hit our hypothetical AI service's endpoint and report back on its response time and correctness. This will help us ensure that our AI service remains reliable and performant.

    Below is the Pulumi program which achieves this. We'll go through it step by step after the code block.

    import pulumi import pulumi_newrelic as newrelic # Create a New Relic Synthetics Monitor ai_service_monitor = newrelic.synthetics.Monitor("aiServiceMonitor", # The URI of the AI service endpoint we want to monitor uri="https://ai-service.example.com/predict", # A friendly name for the monitor name="AI Service Endpoint Monitor", # The type of the monitor (SIMPLE - if only checking for uptime; BROWSER, SCRIPT_API, etc. for more complex scenarios) type="SIMPLE", # The frequency of the checks, in minutes period="5", # The list of locations from which the endpoint will be checked locations_publics=["AWS_US_EAST_1"], # Optional: Include verification of SSL certificate verify_ssl=True, # The status of the monitor status="ENABLED", # Optional: Specify the runtime type/version if using SCRIPT_API #runtime_type="MINION", # Optional: Include custom headers required by your AI service for monitoring requests # custom_headers=[newrelic.synthetics.MonitorCustomHeaderArgs( # name="x-api-key", # value="your_api_key_here" # )], ) pulumi.export("monitor_id", ai_service_monitor.id)

    Explanation of the Pulumi Program:

    • We start by importing the required modules: pulumi and pulumi_newrelic.
    • We create a new resource using newrelic.synthetics.Monitor. This represents the synthetic monitor we want to set up for our AI service.
    • The uri property is the endpoint of the AI service that we’ll be monitoring.
    • We name our monitor "AI Service Endpoint Monitor" through the name property.
    • For the type property, we use "SIMPLE", which is suitable for basic uptime checking. If we needed to run scripts or more complex transactions, we would select a different type such as "SCRIPT_API".
    • We set the period for the monitor to check the endpoint, which is every 5 minutes in this example.
    • locations_publics indicates where the checks come from. New Relic has a list of locations you can specify.
    • The verify_ssl property is a boolean indicating whether or not to verify the SSL certificate of the endpoint.
    • The status of "ENABLED" means the monitor will start running checks as soon as it's created.
    • Optionally, if you have an endpoint that requires custom headers, you can uncomment and configure the custom_headers setting.
    • Finally, we use pulumi.export to output the ID of the monitor, which can be useful for referencing in other parts of your infrastructure code.

    Why Use Pulumi with New Relic Synthetics:

    Using Pulumi to manage New Relic Synthetics configurations allows you to store your monitoring setup as code. This means your monitoring configuration can be versioned, reviewed, and managed just like any other codebase. It also makes it easier to replicate or update configurations across different environments or New Relic accounts.

    Make sure you have the pulumi_newrelic plugin installed in your Pulumi setup to use New Relic resources.

    To run this Pulumi program, you'll need to have the New Relic provider configured with your New Relic account details. This setup typically involves setting up API keys and other necessary authentication within the configuration of the Pulumi New Relic provider. You can find more details about this in the Pulumi New Relic provider documentation.


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