Hands-On Auto DevOps with GitLab CI - DevOps with Zero Configuration

The video explores GitLab CI's Auto DevOps feature, demonstrating how it automates the deployment process without requiring a GitLab CI YAML file. It covers setting up a Kubernetes cluster, enabling Auto DevOps, and executing a pipeline with stages like build, test, and production. The video also discusses managing environments, deploying review apps, and monitoring applications using Prometheus.

What additional service is important for the Auto DevOps process in GitLab CI?

• Terraform

• Helm

• Docker

• Jenkins

What is the primary purpose of enabling Auto DevOps in GitLab CI?

• To manually configure build scripts

• To automate the deployment process

• To disable continuous integration

• To create a GitLab CI YAML file

Which file is NOT required when using GitLab CI's Auto DevOps?

• README file

• GitLab CI YAML file

• Dockerfile

• Makefile

What stages are automatically generated by GitLab CI's Auto DevOps?

• Design, Develop, Test, Deploy

• Deploy, Monitor, Operate, Manage

• Plan, Code, Build, Release

• Build, Test, Production, Performance

What tool does GitLab CI use for monitoring in its Auto DevOps feature?

• Zabbix

• Grafana

• Nagios

• Prometheus

What is the role of the Ingress controller in the GitLab CI Auto DevOps setup?

• To configure network firewalls

• To provide an entry point for external traffic

• To handle user authentication

• To manage database connections

What concept allows for testing new deployments in separate branches in GitLab CI?

• Code Splitting

• Feature Flags

• Review Apps

• Continuous Integration