GitLab CI A Complete Hands-On for CICD Pipelines DevOps

GitLab CI – A Complete Hands-On for CI/CD Pipelines & DevOps, available at $89.99, has an average rating of 4.46, with 81 lectures, 3 quizzes, based on 3300 reviews, and has 21733 subscribers.

You will learn about Learn Full In & Out of GitLab CI/CD with proper HANDS-ON examples from scratch. Crash Course on DevOps and CI/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) Concept. GitLab core concepts – Pipeline, Stages, Jobs, Artifacts, Runners, Variables, Environments and many more.. ADVANCE GitLab CI/CD concepts, the explanation to which is not very clear even in GitLabs Official Documentation. Create complete GitLab CI CD, DevOps pipelines to automate the build, test and deploy phases. A Real-Time industry standard GitLab CICD pipeline for Continuous Integration, Continuous Delivery, Deployment of the Employee Portal Python web application. Deploy GitLab CI pipelines on Heroku Cloud. Codes and Data-sets are available in resources tab. This course is ideal for individuals who are DevOps Engineers who want to add GitLab CI tool in their DevOps tool stack. or Engineers who want to learn building of Continuous Integration, Continuous Delivery, Continuous Deployment pipelines with GitLab. or Techies who want to start their career in DevOps. It is particularly useful for DevOps Engineers who want to add GitLab CI tool in their DevOps tool stack. or Engineers who want to learn building of Continuous Integration, Continuous Delivery, Continuous Deployment pipelines with GitLab. or Techies who want to start their career in DevOps.

Enroll now: GitLab CI – A Complete Hands-On for CI/CD Pipelines & DevOps

Summary

Title: GitLab CI – A Complete Hands-On for CI/CD Pipelines & DevOps

Price: $89.99

Average Rating: 4.46

Number of Lectures: 81

Number of Quizzes: 3

Number of Published Lectures: 81

Number of Published Quizzes: 3

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Full In & Out of GitLab CI/CD with proper HANDS-ON examples from scratch.

Crash Course on DevOps and CI/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) Concept.

GitLab core concepts – Pipeline, Stages, Jobs, Artifacts, Runners, Variables, Environments and many more..

ADVANCE GitLab CI/CD concepts, the explanation to which is not very clear even in GitLabs Official Documentation.

Create complete GitLab CI CD, DevOps pipelines to automate the build, test and deploy phases.

A Real-Time industry standard GitLab CICD pipeline for Continuous Integration, Continuous Delivery, Deployment of the Employee Portal Python web application.

Deploy GitLab CI pipelines on Heroku Cloud.

Codes and Data-sets are available in resources tab.

Who Should Attend

DevOps Engineers who want to add GitLab CI tool in their DevOps tool stack.

Engineers who want to learn building of Continuous Integration, Continuous Delivery, Continuous Deployment pipelines with GitLab.

Techies who want to start their career in DevOps.

Target Audiences

DevOps Engineers who want to add GitLab CI tool in their DevOps tool stack.

Engineers who want to learn building of Continuous Integration, Continuous Delivery, Continuous Deployment pipelines with GitLab.

Techies who want to start their career in DevOps.

GitLab CI/CD is a trending and the most admired tool to build CI CD pipelines for DevOps.

Since GitLab is a self-contained platform that supports the DevOps lifecycle, that is why it is getting traction in the CI/CD landscape from mass companies including the big ones. The demand of GitLab CI CD tool in real-time projects is growing exponentially and DevOps engineers, architects are preferring to use GitLab as a CI/CD tool over other available options in the market.

What’s included in the course?

Complete GitLab CI/CD concepts explained from Scratch to ADVANCE with Real-Time implementation.

Concise crash course on Continuous Integration, Continuous Delivery, Continuous Deployment (CICD) and the DevOps concept.

Each and every GitLab CI CD concept is explained with HANDS-ON examples.

Includes each and every, even thin detail of GitLab CI/CD.

For every concept, first, we will cover its theoretical stuff, followed by their running example.

Learn the CI CD workflow, by deploying a complete Python website on to Heroku.

Technicalities

Basics – Git Commands, Setup GitLab account, GitLab CI/CD UI Tour, Docker, adding SSH keys.

Core concepts – Pipeline, Jobs, Stages, Artifacts, Custom and Secret Variables, Runners and many more.

How to build GitLab CI CD pipelines with Docker.

Advance Concepts – Optimizing the Pipeline, Keywords, Environments, Static & Dynamic environments, Teardown the environments etc.

Industry standard Real-time Python web application deployed automatically on Heroku with GitLab CI/CD pipeline.

After completing this course, you can start working on any real-time DevOps GitLab CI/CD project with full confidence.

Course Curriculum

Chapter 1: Crash Course on CI/CD concept

Lecture 1: What is CI/CD?

Lecture 2: CI/CD terms Unwrapped

Lecture 3: Software Development Lifecycle (SDLC)

Lecture 4: Conventional SDLC approach (without CI/CD)

Lecture 5: Drawbacks of Conventional SDLC approach

Lecture 6: Adapting CI/CD work culture

Chapter 2: Getting Started with GitLab

Lecture 1: What is GitLab

Lecture 2: Create first Project

Lecture 3: GitLab UI Tour

Lecture 4: Virtual Machine Installation

Chapter 3: Create First Pipeline

Lecture 1: Setting up Git Branches – Part 1

Lecture 2: Setting up Git Branches – Part 2

Lecture 3: What is Pipeline?

Lecture 4: Write First Pipeline

Lecture 5: Pipeline Execution Logs Explained

Chapter 4: Artifacts with Nodejs Application

Lecture 1: Creating Nodejs Application

Lecture 2: Writing GitLab Pipeline

Lecture 3: Stage & Stages in a Pipeline

Lecture 4: Writing GitLab Pipeline Continued

Lecture 5: Running Jobs in Background

Lecture 6: Optimizing the Pipeline

Chapter 5: GitLab Runners and Installation

Lecture 1: Introduction to GitLab Runners

Lecture 2: Shared GitLab Runners

Lecture 3: Installing GitLab Runner (Things to keep in mind)

Lecture 4: Install GitLab Runner in Local Machine?

Chapter 6: Run Pipelines using Local Runners

Lecture 1: Create Python App & Dockerfile

Lecture 2: Write GitLab Pipeline

Lecture 3: Run the Pipeline locally

Lecture 4: Improvising the Pipeline

Chapter 7: Variables in GitLab CI/CD

Lecture 1: What are GitLab CI/CD Variables?

Lecture 2: Predefined GitLab Variables

Lecture 3: Create Custom Variables

Lecture 4: Secret Variables in GitLab

Lecture 5: Pipeline Continued

Chapter 8: Project – Requirements & Setup (Python Application)

Lecture 1: Project Requirements

Lecture 2: Designing Project Workflow

Lecture 3: How to add SSH keys in GitLab

Lecture 4: Create Model for Python App

Lecture 5: Create Front-end for Python App

Lecture 6: Writing the Application Logic

Chapter 9: Project – Create GitLab CI Pipeline

Lecture 1: Lint Tests with Flake8

Lecture 2: Add Lint Tests in Pipeline

Lecture 3: Write Smoke Tests using pytest

Lecture 4: Write Unit Tests using pytest

Lecture 5: Add Testing Stage in Pipeline

Lecture 6: Add On: Extensions for Linting

Lecture 7: Writing Dockerfile to Build Project Image

Lecture 8: Adding Build Stage in Pipeline

Lecture 9: Push Docker Image to GitLab Container Registry

Chapter 10: Project – Create GitLab CD Pipeline (Deployment to Heroku)

Lecture 1: Different Deployment Options

Lecture 2: Getting Started with Heroku

Lecture 3: Deploy to Staging Environment

Lecture 4: Deploy to Staging Environment Continued

Lecture 5: Automated Testing in Pipeline

Lecture 6: Assignment

Lecture 7: Deploy to Production Environment

Lecture 8: Controlling the Production Deployments

Lecture 9: Running the Final CI/CD Pipeline

Chapter 11: Static Environments in GitLab CI/CD

Lecture 1: Enhancing the Pipeline Workflow

Lecture 2: What are Environments & Deployments in GitLab

Lecture 3: Adding Static Environments in Pipeline

Lecture 4: Rollback Deployments

Chapter 12: Dynamic Environments in GitLab CI/CD

Lecture 1: Adding Dynamic Environments in Pipeline

Lecture 2: GitLab Variables issue and its Workaround

Lecture 3: Run the Pipeline

Lecture 4: Trigger for Manual Production Deployment

Chapter 13: Stop Dynamic Environments

Lecture 1: Creating Teardown Job

Lecture 2: When to run the Stop job?

Lecture 3: Dynamic Environments Teardown LIVE

Chapter 14: Job Templating

Lecture 1: Idea behind Job Templating

Lecture 2: YAML Anchors Explained

Lecture 3: Implement Job Templates in Project Code

Lecture 4: Run Job Template Pipeline

Chapter 15: Miscellaneous

Lecture 1: CI Lint Tool in GitLab

Lecture 2: How to Schedule Pipelines?

Lecture 3: Timeout in GitLab

Chapter 16: Additional Learnings

Lecture 1: Install Git on Windows

Lecture 2: What is Docker & its Installation on Windows

Instructors

A to Z Mentors
Online Instructors

Rating Distribution

1 stars: 31 votes

2 stars: 51 votes

3 stars: 317 votes

4 stars: 1271 votes

5 stars: 1630 votes

Frequently Asked Questions

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