Set Up Meta AI Environment
- Create a Meta AI account and log in to your developer portal.
- Set up a new project or use an existing one where you want to integrate Meta AI services.
- Obtain the necessary API key or client credentials from the Meta AI dashboard to authenticate your applications.
Install New Relic Agent
- Access your server or environment where your Meta AI application is deployed.
- Follow the specific instructions from the New Relic documentation to install the appropriate New Relic Agent for your application (e.g., Node.js, Python, Java).
npm install newrelic --save
Configure New Relic Agent
Integrate Meta AI with New Relic
- Create a monitoring script to track Meta AI operations, such as API calls or model processing times.
- Utilize New Relic's API or tracing libraries to send custom metrics or transaction events related to Meta AI's operations.
const newrelic = require('newrelic');
function monitorMetaAIOperation(){
newrelic.startBackgroundTransaction('MetaAIProcess', function() {
const transaction = newrelic.getTransaction();
// Your Meta AI process code here
// eg. metaAI.process()
transaction.end();
});
}
Test and Validate Integration
- Deploy your application with integrated monitoring and ensure it's running correctly.
- Generate some load or utilize Meta AI processes to ensure that data is being collected by New Relic.
- Log into your New Relic account and validate that your application data is displaying correctly within the platform’s dashboards.
Troubleshoot and Optimize
- If integrations are not displaying expected metrics, review New Relic and Meta AI logs for errors.
- Optimize your monitoring to filter and send relevant data most impactful for diagnosing issues or measuring performance.
- Contact New Relic or Meta AI support if you encounter persistent issues you cannot resolve.