Prerequisites

• Create an Amazon Web Services (AWS) account if you don’t have one, and set up your AI services such as Amazon Rekognition, Lex, or Comprehend.

 

• Create a New Relic account and ensure you have the necessary permissions to install agents and configure integrations.

Set Up AWS SDK

• Choose the AWS SDK language that suits your application (e.g., Python, JavaScript, Java).

 

• Install the AWS SDK for your chosen language. Below is an example for Node.js:

npm install aws-sdk

Configure AWS Credentials

• Configure your AWS credentials to allow your application to communicate with AWS services.

 

• Create a new IAM role in AWS with policies that allow access to the AI services you plan to use.

 

• Use environment variables, AWS credentials file, or AWS Secrets Manager to store your credentials securely. Here’s an example using environment variables:

export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key

Integrate Amazon AI into Your Application

• Use the AWS SDK to call AI services. Here’s a JavaScript example for Amazon Rekognition:

const AWS = require('aws-sdk');
const rekognition = new AWS.Rekognition();

const params = {
  Image: {
    S3Object: {
      Bucket: 'your-bucket',
      Name: 'your-image.jpg'
    }
  },
  MaxLabels: 10
};

rekognition.detectLabels(params, (err, data) => {
  if (err) console.log(err, err.stack);
  else     console.log(data);
});

Install New Relic Agent

• Choose the New Relic agent that matches your application stack (e.g., Java, Node.js, Python).

 

• Install the New Relic agent by following the provided documentation. Here’s an example for Node.js:

npm install newrelic

Configure New Relic

• Update the New Relic agent configuration file (e.g., newrelic.js for Node.js). Add your New Relic license key and application name:

exports.config = {
  app_name: ['Your Application'],
  license_key: 'your_new_relic_license_key',
  logging: {
    level: 'info'
  }
}

Instrument Your Application

• Use New Relic's APIs to instrument relevant parts of your code, particularly where you are making AWS SDK calls. In Node.js, start by requiring the New Relic agent at the top of your application:

require('newrelic');

• Add custom metrics or trace information using New Relic’s APIs:

const newrelic = require('newrelic');

newrelic.startBackgroundTransaction('customTransaction', function() {
  // your AWS SDK call
  newrelic.endTransaction();
});

Monitor and Analyze

• Log in to your New Relic account to monitor the performance of AWS AI services integrated into your application.

 

• Create dashboards and alerts to analyze AWS service usage, performance trends, and detect anomalies in real-time.

Maintain and Update

• Regularly update AWS SDK and New Relic agents to their latest versions to ensure optimal compatibility and security.

 

• Refine your monitoring strategy based on the insights gained from New Relic dashboards and reports to enhance system performance.