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