Hands-On Auto DevOps with GitLab CI - Application Monitoring with Prometheus

The video tutorial covers the use of Prometheus for application monitoring, focusing on configuring Prometheus scraping in Kubernetes, viewing metrics in the Prometheus dashboard, and integrating with GitLab CI. It explains how to annotate services for Prometheus to scrape metrics and demonstrates the use of the Prometheus dashboard to visualize data. The tutorial also highlights the benefits of using GitLab CI for deploying Prometheus and concludes with a preview of the next section on custom CI infrastructure.

What is the primary focus of the video tutorial?

• Database management with SQL

• Application development with Nodejs

• Application monitoring with Prometheus

• Cloud deployment with AWS

How does Prometheus know where to find application endpoints in Kubernetes?

• By using a default configuration

• Through manual input by the user

• By querying the Kubernetes API server

• By scanning all available services

What is the purpose of adding annotations to the Kubernetes service metadata?

• To enable Prometheus to scrape metrics

• To reduce deployment time

• To enhance security

• To improve application performance

Where is the Prometheus server deployed in the Kubernetes cluster?

• In the default namespace

• In the GitLab managed apps namespace

• In a custom namespace

• In the kube-system namespace

What kind of data can be visualized in the Prometheus dashboard?

• Network traffic

• Database queries

• Memory usage over time

• User activity logs

What additional tool can be used alongside Prometheus for visualizing metrics?

• Kibana

• Grafana

• Splunk

• Tableau

What feature does GitLab CI provide to help monitor application performance?

• Database optimization

• Automated code deployment

• Real-time user feedback

• Metrics visualization and alerts