Hands-On Auto DevOps with GitLab CI - Application Metrics Collection

This video tutorial introduces Prometheus, a popular monitoring tool, and demonstrates how to add a metrics endpoint to a Nodejs application. It covers the setup process, creating a metrics endpoint, and running the application to collect and analyze metrics. The video concludes with a preview of integrating Prometheus with Kubernetes and GitLab for dashboard visualization.

What is the primary function of Prometheus in application monitoring?

• To manage application deployments

• To scrape and store metrics data from service endpoints

• To provide a user interface for application management

• To compile application code

Which package is used in Node.js to collect Prometheus metrics?

• express

• mongoose

• prom-client

• axios

What is the purpose of the '/metrics' endpoint in a Node.js application?

• To expose collected metrics data for Prometheus

• To handle user authentication

• To provide a health check for the application

• To serve the main application page

How can you view raw metrics data from a Node.js application?

• By running a build script

• By using a database query

• By checking the application logs

• By accessing the '/metrics' endpoint in a browser

What tool is used to fetch metrics data from the terminal?

• curl

• ftp

• wget

• scp

What kind of data does Prometheus build over time from the metrics it collects?

• Time series data

• Image data

• Text data

• Binary data

What is the significance of time series data in Prometheus?

• It is used for encrypting data

• It allows for historical analysis and visualization of metrics

• It is used for real-time chat applications

• It helps in compiling application code