How to Integrate Google Cloud AI with New Relic

Set Up Google Cloud AI Credentials

• Navigate to the Google Cloud Console: Google Cloud Console

 

• Enable the APIs you need, such as the Cloud Vision API, Natural Language API, or others.

 

• Go to "Credentials" and select "Create credentials" to set up a new service account key. Be sure to download the JSON key file as you will need this for accessing the API.

Install Required Libraries

• Ensure you have Python installed as we will be using Python for demonstration. Use the following command to install the necessary Google Cloud library:

pip install google-cloud

Create a New Relic Account and Set it Up

• Sign up for a New Relic account if you do not have one: New Relic Registration.

 

• Install the New Relic agent appropriate for your platform, be it for applications, server environment, or infrastructure monitoring.

 

• Follow the installation instructions specific to your setup. For a simple Python application, you might do:

pip install newrelic

Configure New Relic

• Use your New Relic license key to configure your applications. Modify the configuration file (usually `newrelic.ini`) with your application name and license key:

[common]
app_name = My Application Name
license_key = YOUR_NEW_RELIC_LICENSE_KEY

Integrate Google Cloud AI with New Relic

• Create a script or service to interact with Google Cloud AI APIs using the credentials JSON key you downloaded earlier.

 

• Import the needed libraries and set up the service as follows for a Python application:

from google.cloud import vision
import newrelic.agent

newrelic.agent.initialize('newrelic.ini')

def detect_text(image_path):
    client = vision.ImageAnnotatorClient.from_service_account_json('path/to/your/credentials.json')
    with open(image_path, 'rb') as image_file:
        content = image_file.read()
    image = vision.Image(content=content)
    response = client.text_detection(image=image)
    annotations = response.text_annotations
    return annotations

Send Custom Events or Metrics to New Relic

• Create custom events in New Relic to monitor specific data points from Google Cloud AI services:

def report_custom_event(annotations):
    # This function logs custom events to New Relic
    for annotation in annotations:
        newrelic.agent.record_custom_event('GoogleCloudAI', {
            'description': annotation.description,
            'vertices': annotation.bounding_poly.vertices
        })

Deploy & Monitor

• Deploy your integration to your environment.

 

• Monitor how data flows from Google Cloud AI to New Relic by checking the New Relic dashboard for custom events or metrics.

 

• Refine based on insights and any bottlenecks or anomalies.