What are the best practices for using Prometheus with Node.js?

What are the best practices for using Prometheus with Node.js?

When using Prometheus with Node.js, consider these best practices: 1. Use the official Prometheus client library for Node.js. 2. Expose metrics on a dedicated endpoint, typically '/metrics'. 3. Ensure your application is instrumented properly to capture relevant metrics. 4. Use labels wisely to differentiate between different instances or versions of your application.

Can you explain how to instrument my Node.js application?

To instrument your Node.js application, you can follow these steps: 1. Install the Prometheus client library using npm. 2. Import the library in your application. 3. Create metrics like counters, gauges, or histograms. 4. Use these metrics in your application logic to track events or performance. 5. Set up an endpoint to expose these metrics for Prometheus to scrape.

What metrics should I focus on?

Focus on key metrics such as request latency, error rates, and throughput. Additionally, monitor resource usage metrics like memory and CPU utilization, as well as custom application-specific metrics that reflect your business logic.

How can I visualize the metrics collected?

You can visualize the metrics collected by integrating Prometheus with Grafana. Set up Grafana to connect to your Prometheus data source, and then create dashboards to display your metrics in a visually appealing way.