GitLab CI CD Pipeline Udemy Course

In this article we are going to cover GitLab CI CD Pipeline Udemy Course | GitLab CI CD Pipeline Hands On for DevOps | GitLab CI CD Pipeline Hands On for DevOps Engineer | GitLab CI/CD Pipeline Tutorial | End to End CI/CD Pipeline GitLab

Table of Contents

Requirements

GitLab Account
Payment Verified with Credit Card which is free of charge
Basics of YAML, Linux Commands

What is GitLab CI CD?

GitLab CI/CD (Continuous Integration/Continuous Deployment) is a powerful DevOps tool provided by GitLab, a web-based platform for version control, source code management, and CI/CD. It allows you to automate various stages of software development, from building and testing to deploying and monitoring your applications. Here’s an overview of GitLab CI/CD:

Version Control: GitLab provides a built-in version control system, which is usually Git. Developers use Git to manage their source code and collaborate on projects.
GitLab CI/CD Configuration: You define your CI/CD process by creating a .gitlab-ci.yml file in the root of your GitLab repository. This file contains configuration instructions for your CI/CD pipelines.
CI/CD Pipelines: GitLab CI/CD pipelines are a series of automated steps that run whenever changes are pushed to your repository. These pipelines can include the following stages:

Build: Compiling and building your application.
Test: Running tests to ensure code quality and reliability.
Deploy: Deploying your application to a specific environment, such as staging or production.
Monitoring: Setting up monitoring and alerting to track the performance of your deployed application.

Runners: GitLab Runners are agents that execute the jobs defined in your .gitlab-ci.yml file. You can use shared runners provided by GitLab, or you can set up your own runners for more control.
Artifacts: You can define what files should be saved as artifacts after each job. These artifacts can be used in subsequent jobs or downloaded as build outputs.
Environments: GitLab allows you to define environments for your application, such as “staging” or “production.” Each environment can be associated with a specific branch, and you can trigger deployments to these environments automatically.
Manual Approvals: You can configure jobs to require manual approval before they proceed to the next stage. This is useful for ensuring certain actions are validated before deploying to production.
Integration: GitLab CI/CD can be integrated with various tools and services, such as Docker, Kubernetes, and more, to simplify the deployment and management of your applications.
Container Registry: GitLab provides a built-in container registry where you can store Docker images, making it easy to manage and deploy containerized applications.
Monitoring and Security: GitLab also offers built-in monitoring and security features, allowing you to track the performance and security of your applications throughout the CI/CD process.

To get started with GitLab CI/CD, you would typically:

Create a .gitlab-ci.yml file in your repository to define your CI/CD pipeline.
Configure GitLab Runners to execute the pipeline.
Commit code changes and push them to your repository.
GitLab will automatically trigger CI/CD pipelines based on your .gitlab-ci.yml configuration.

This approach streamlines development, testing, and deployment, leading to faster and more reliable software delivery.

Get 44% OFF on GitLab CI/CD Pipeline Tutorial Udemy Course

GitLab Basics Tutorial

What is GitLab | Features of GitLab | GitLab Architecture | What GitLab CI/CD Pipeline
How to create a new project in GitLab
How To Create and Add SSH Key to GitLab
Create Group and Users in GitLab
Jobs in GitLab CI | Stages in GitLab CI Explained
GitLab CI Artifacts Example | How to use artifact in GitLab CI

GitLab Runner Tutorial | Install and Register GitLab Runner

Install GitLab Runner on Ubuntu 22.04 LTS
Install GitLab Runner on Redhat Linux
Install GitLab Runner on Windows

YAML Basis Tutorial with Example

What is YAML, YAML Data types, YAML Indentation

Continuous Integration (CI) with GitLab | GitLab CI

Run your first GitLab CI CD pipeline [2 Steps]
GitLab CI/CD Environment Variables | GitLab Predefined Variables
Build Java Project using Maven in GitLab CI
How to Build Java Project using Gradle in GitLab CI | GitLab CI Java Gradle

JUnit Test with GitLab CI | Junit with GitLab CI Examples

Generate JUnit Reports for Java Maven Project using GitLab CI

Java Code Coverage(JaCoCo) with GitLab CI

Java Code Coverage(JaCoCo) with GitLab CI

SonarQube Integration with GitLab CI

Integrate SonarQube with Java Maven project using GitLab CI
SonarQube Integration for Java Gradle Project using GitLab CI
SonarQube Integration for Node JS Project using GitLab
Sonarqube Integration for Python Project using GitLab CI

Build Docker Image using GitLab CI

How to Push a Dockerized Node.js App to GitLab Container Registry
How to Build and Push Docker Image to AWS ECR | GitLab CI CD Docker AWS
How to Build Docker Image and Push to DockerHub using GitLab CI

Contineous Deployments (CD) with GitLab

Upload file to AWS S3 Bucket using GitLab CI/CD | Upload file to AWS S3
Deploy war file in Tomcat using GitLab CI Pipeline
How to Deploy jar file in tomcat using GitLab CI Pipeline
Integrating AWS EKS with GitLab | Connect AWS Kubernetes Cluster with GitLab
Deploy Node JS App on AWS EKS using GitLab CI CD | Deploy to EKS using GitLab
Deploy Node JS Helm Chart on AWS EKS using GitLab CI CD
Deploy Java Helm Chart on EKS using GitLab CI CD

Who this course is for:

Software Developers and Testers who is learning to build pipeline using GitLab
DevOps Engineer, SRE, IT Admin, IT Professionals

Get 44% OFF on GitLab CI/CD Pipeline Tutorial Udemy Cours

Related Udemy Course:

GitHub Actions Udemy Course for DevOps