Gitlab CI: Pipelines, CI/CD and DevOps for Beginners

5h 8m 39s
English
Paid
November 1, 2023

A lot of courses promise you will become an expert. Becoming an expert in any tool comes with time and hard work. It simply does not make sense to promise something like that. It will not be honest. What I will try is to explain to you the basics and offer you enough practice opportunities so that you can apply what you learn easily in your own projects as well. I will show you how to build pipelines with Gitlab CI.

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This course will teach you how to use Gitlab CI for your own projects. You will learn the basics of CI/CD and start building pipelines right from the first lecture.

Some highlights:

- have an overview of the Gitlab architecture

- create a simple pipeline

- learn the CI/CD practice by deploying a simple website

- use Docker images within Gitlab

Requirements:

  • Basic experience with Linux, Linux commands and using the terminal
  • Know how to work with Git (basics like configuring a repository locally, cloning, merge, commit, push)
  • Admin permissions that allow you to install additional tools (Node, npm, Docker, Virtualbox)
  • Optional: some basic experience with Docker will be a bonus

Who this course is for:
  • Software developers learning to build pipelines in order to test & deploy code
  • IT Professionals: Developers, Software Engineers, Application Architects, Infrastructure Architects, and Operations

What you'll learn:

  • What is a pipeline
  • What is Continuous Integration (CI), Continuous Delivery (CD) and Continuous Deployment (CD)
  • Automate your build, test & deployment with Gitlab CI
  • Learn industry "best practices" in building CI/CD pipelines
  • Demonstrate your understanding of building CI/CD pipelines to future employers
  • Automate your builds, tests, and deployments
  • Automatic deployments using AWS
  • Build pipelines with code quality checks, unit tests, API testing
  • Solve problems with hands-on assignments
  • Create Merge Requests and review code
  • Dynamic environments

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# Title Duration
1 Your first pipeline 21:41
2 Gitlab architecture 05:08
3 Why GitLab CI? 02:11
4 How much does Gitlab cost? 02:57
5 About the course 02:05
6 Important skills you need to acquire 03:11
7 Overview 00:28
8 What is CI / CD? 08:09
9 Short introduction to Node.js 01:52
10 Creating a new project 05:09
11 Building the project locally 02:35
12 Short introduction to images and Docker 04:02
13 Building the project using Gitlab CI 10:59
14 Adding a test stage 06:24
15 Running jobs in parallel 05:42
16 Running jobs in the background 08:10
17 Deployment using surge.sh 02:51
18 Using Environment variables for managing secrets 03:34
19 Deploying the project using Gitlab CI 05:00
20 How does Surge.sh know the environment variables? 02:57
21 Overview 02:09
22 Predefined environment variables 07:43
23 Pipeline triggers / Retrying failed jobs / Pipeline schedules 02:51
24 Using caches to optimize the build speed 10:02
25 Cache vs Artifacts 01:53
26 Deployment Environments 07:44
27 Defining variables 05:35
28 Manual deployments / Manually triggering jobs 06:03
29 Merge requests - Using branches 05:26
30 Merge requests - Configuring Gitlab 01:50
31 Merge requests - Your first merge request 06:20
32 Dynamic environments 06:42
33 Destroying environments (Clean-up after the Merge Request) 09:06
34 before_script & after_script configuration 03:24
35 Recap & conclusion 01:59
36 Overview 00:54
37 Understanding YAML 06:41
38 Disabling jobs 01:07
39 Anchors 05:21
40 Creating job templates 08:45
41 Overview 01:59
42 Introduction to the Java application 04:15
43 Calling an API with Postman 02:45
44 Continuous Integration (CI) pipeline overview 00:47
45 Build stage: Building a Java application locally 03:20
46 Build stage: Building a Java application with Gitlab CI 03:03
47 Test stage: Adding a smoke test 06:28
48 CI/CD pipeline recap 02:11
49 Brief introduction to Amazon Web Services (AWS) 03:50
50 Serverless computing with AWS Elastic Beanstalk 01:29
51 How to deploy to AWS (manual upload) 04:02
52 How to deploy to AWS from GitLab CI 01:57
53 Getting started with AWS S3 02:12
54 GitLab Group settings 01:03
55 How to upload a file to AWS S3 from GitLab CI 07:53
56 How to deploy a Java application to AWS Elastic Beanstalk using the AWS CLI 07:44
57 Assignment 00:24
58 Assignment solution 03:19
59 Create an application version 03:57
60 Verify the application version after deployment 05:33
61 Revisiting the CI pipeline 00:52
62 Ensuring coding standards with tools for codestyle checking with PMD 04:12
63 Assignment - Add code quality stage with PMD 00:26
64 Assignment solution - Add code quality stage with PMD 03:11
65 Quick introduction to unit testing in CI pipelines 04:33
66 Unit test stage: Run JUnit tests with GitLab CI 03:58
67 How to structure a CI/CD pipeline in GitLab CI? 02:02
68 API test stage: Run Postman API tests in GitLab CI 10:48
69 GitLab Pages (for publishing HTML reports or dashboards) 03:46

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