Become a GitLab CI/CD Pro — Build real DevOps Pipelines
GitLab CI/CD is one of the most popular CI/CD platforms! More and more companies are adopting it. So, the need for Developers or DevOps engineers, who know how to build complete CI/CD pipelines on GitLab is increasing
So, you'll have built several CI/CD pipelines with real life examples & best practices!
While many GitLab courses teach you only the basics, we will dive into more advanced demos, like implementing dynamic versioning, using cache to speed up the pipeline execution or deploying to a K8s cluster.
As usual you can expect complex topics explained in a simple way, animations to help you understand the concepts better and lots of hands-on demos!
By the end of this course, you'll be able to
Confidently use GitLab CI/CD at your work
Set up self-managed GitLab Runners
Build and deploy containers with Docker Compose
Configure a CI/CD pipeline for a Monorepo Microservice
Configure a CI/CD pipeline for a Polyrepo Microservice
Setup a CI/CD pipeline with best practices
Deploy to a managed Kubernetes cluster
Build a Multi-Stage Pipeline
Course Curriculum
Your Path to become a CI/CD Pro!
Chapter 1:
Introduction to CI/CD and GitLab
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1 - What is CI/CD
2 - Introduction to GitLab CI/CD
3 - How GitLab compares to other CI/CD platforms
Chapter 2:
Core Concepts of GitLab CI/CD
1 - Chapter Introduction
2 - Jobs: Basic Building Blocks of Pipeline
3 - Execute Pipeline
4 - Stages: Group jobs
5 - needs: Dependency between jobs
6 - script: Inline shell commands and executing shell script
7 - only: Specify when job should run
8 - Workflow Rules: Control Pipeline behavior
9 - Trigger Pipeline on Merge Request
10 - Predefined CI/CD Variables in GitLab
11 - Define Custom Variables
Chapter 3:
GitLab Architecture
1 - GitLab Runners for running the jobs
2 - GitLab Executors - Different Executor Types
3 - Job Execution Flow
4 - Docker Executor
5 - Specific Runners: Runner for specific project
6 - Demo Overview: Configure self-managed Runners
7 - Install & Register Local Runner on MacOS
8 - Install & Register Local Runner on Windows
9 - AWS Pre-Requisite
10 - Install & Register an AWS EC2 Runner
11 - Execute jobs on specific Runner (Tags)
12 - Add Docker Runner on EC2 Instance
13 - Group Runners: Runner for a GitLab Group
14 - Self-Managed GitLab Instance
15 - Note on GitLab Runner Versions Compatibility
16 - GitLab Architecture Recap
Chapter 4:
Build a real life CI/CD Pipeline for Node.js Application
1 - Demo Overview & Node.js Project Overview
2 - Run Unit Tests & Collect Test Reports
3 - Build Docker Image & Push to Private Registry
4 - Deploy to DEV Server
5 - GitLab Environments: Describe where code is deployed
6 - Deploy with Docker Compose
Chapter 5:
Optimize CI/CD Pipeline & Configure Multi-Stage Pipeline
1 - Section Overview
2 - Configure Dynamic Versioning for Docker Image
3 - Configure Caching to speed up Pipeline execution
4 - Testing in CI/CD & Configure Security Tests (SAST)
5 - Intro to Multi-Stage Deployments (Multi-Stage Demo - Part 1)
6 - Promote to Staging (Multi-Stage Demo - Part 2)
7 - Reuse pipeline configuration using extends (Multi-Stage Demo - Part 3)
8 - Promote to Production (Multi-Stage Demo - Part 4)
Chapter 6:
CI/CD MicroService Application (Mono and Polyrepo)
1 - What are Microservices?
2 - Monorepo vs Polyrepo
3 - Demo Overview
4 - Monorepo - Start services locally and get to know the Application
5 - Prepare Deployment Server (Monorepo Demo - Part 1)
6 - Build Micro Services (Monorepo Demo - Part 2)
7 - Deploy Micro Services (Monorepo Demo - Part 3)
8 - CI/CD pipeline for Polyrepo
9 - Extract common logic (Job Templates - Part 1)
10 - CI Templates - Library for all projects (Job Templates - Part 2)
Chapter 7:
Deploy Microservices to Kubernetes cluster
1 - Introduction & Demo Overview
1.1 - Pre-Requisite: Kubernetes Crash Course
2 - Create a K8s cluster on LKE
3 - Create GitLab User with restricted Permissions
4 - Deploy to Kubernetes Part 1
5 - Deploy to Kubernetes Part 2
6 - Wrap Up & Delete all cloud resources
Who this course is for:
Software Developers
DevOps Engineers
System Administrators
Especially for people, who have basic IT knowledge and
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want to learn how to set up real life pipelines
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want to learn how to build a CI/CD pipeline with GitLab platform
Pre-Requisities:
Linux Basics (Working with the terminal)
Basics of Git (cloning a repository, commit, push, pull)
Only for the last chapter/demo project, where we deploy to K8s:
Kubernetes Crash Course
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What you’ll learn - Gitlab Concepts
Pipelines, Jobs, Stages
GitLab Runners & Executors
Regular & Secret Variables
GitLab's built-in Docker registry
Workflow Rules
Environments
Everything about Caching
GitLab's Job Templates
Configure Job Artifacts (test report, passing files and env vars)
Reuse pipeline configuration by writing own job ci-templates library
Conditionals
Learn Best Practices & industry insights!
What you’ll learn - Real Life Demos & CI/CD Concepts
Pipeline: Test, Build, Push & Deploy Docker Containers
Configure CI/CD pipelines for Monorepo & Polyrepo Microservices Application
Deploy with Docker Compose
Promote to staging and production
Configure dynamic versioning
Configure local & remote GitLab Runners
Configure caching to speed up job execution
Deploy to a K8s cluster from CI/CD pipeline
Configure security tests (SAST)
Learn Best Practices & industry insights!
Build production-ready DevOps Pipelines with
Docker, Kubernetes & Microservices
Build, Push and deploy Docker containers using Docker Compose
Configure a CI/CD pipeline for Microservices application - both with Monorepo and Polyrepo!
Learn how to deploy to a Kubernetes cluster from the pipeline
Millions of students love the way I explain complex concepts in an easy way!
No rushing through topics or shallow explanations
Instead I explain every concept behind, so you'll have a deep understanding and big picture. You can apply the skills right at your work!
This is the best course I've ever seen. I knew some concepts, but this course is going so deep with all the information and is very well explained. You can't ask more than you will find in the course. For me it was like this...
Nana is the Best Teacher, Step by Step Practical Guide!! Make me run Commands every 5', and Verify Every Step!! QA Teaching 100%
Maximiliano U.
You have very unique teaching skills. You explain complex topics with simplicity n clarity. Fabulous way of organizing and presenting.It has helped me a lot and made my work life easier.Keep up your good work 🙂
Chytra K.
Teaching is an art and you are a genius in that @nana. Thank you so much for such a wonderful and awesome video tutorial! 😊
Syam K.
Nana Janashia
Your Instructor
Hi, my name is Nana. Co-Founder of TechWorld with Nana
I've taught millions of people about Kubernetes and how to become professional DevOps engineers through our DevOps and DevSecOps Bootcamp, Youtube channel and online courses.
Why learn from me
Millions of students love the way how I explain complex concepts in an easy way, so that everyone can understand it
Learn from a CNCF Ambassador, AWS Container Hero and Docker Captain
Have given trainings/talks/workshops @ companies like NASA, Microsoft, Red Hat
Frequently Asked Questions
How long do I have access to the course?
You will have access to the course for 2 years.
What infrastructure we will use and what infrastructure cost to expect
First of all, we are using the free version and features of GitLab.
However, we are using 2 micro EC2 instances in the course for:
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1 server for GitLab Runners and
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1 as a server to deploy applications on it.
On AWS, you pay for instances per hour usage. So depending on how many hours your instances will be running, you can calculate the cost based on this price table: https://aws.amazon.com/ec2/pricing/on-demand/
Note that on AWS, you don’t pay for stopped instance, so you can save infrastructure costs by stopping and restarting the instances between the learning sessions.
You can use any other infrastructure platform or even local machine instead, but following the demos exactly as I show them in the course using the remote machines, will teach you how it is done in real world.
For running a Kubernetes cluster:
We will run the K8s cluster on Linode (LKE), because it's easy and fast to have a K8s cluster up and running, but also have a real-life environment instead of e.g. running it locally. You get 100$ free credit if you create an account for the first time, which is enough for the demo.
However, again you can choose to run your K8s cluster on any other cloud platform or locally via minikube etc.
Because the demo is not specific to Linode's managed cluster!
What if I am unhappy with the course?
Generally if something is unclear or you have problems with the course, we will try to support you immediately to answer all your questions. We are also happy to hear your feedback or criticism immediately, so we can fix it for you.
However, if you are still unsatisfied with your purchase, you can request a refund within the first 30 days. Check out our refund policy here: https://www.techworld-with-nana.com/terms-premium-courses
To ask for a refund, just send us an e-mail at techworld-with-nana@nnsoftware.at
Please include the reason why you're asking for a refund and the email address you use for your course account.
We are always improving the course based also or especially on student's feedback, so we would like to know what we can do better.