
Master GitLab ci/cd with hands-on modules covering docs deployment, pipeline optimization, and infrastructure ci/cd for Kubernetes using yaml pipelines, locals, includes, bash scripts, and Terraform code.
Explore core GitLab features, from planning with boards and stories to creating repositories, merge requests, and main vs feature branches, then manage container registries and the CI/CD pipeline.
Decide the application and architecture, then test locally. Containerize with Docker, write a Dockerfile, build the image, and run it on your laptop before pushing to GitLab for CI/CD.
Dockerize an MkDocs documentation site by creating a Dockerfile and a docs directory with index.md and mkdocs.yaml. Configure MkDocs with the material plugin and run it on port 8000.
Push your locally built docker images to Docker Hub by logging in, tagging with your Docker Hub username, and then pushing with docker push using the latest tag.
Recap how we created a GitLab module for an mkdocs app, added a Dockerfile, built and deployed the image as a local container, and pushed it to Docker Hub.
Create and sync a local codebase to a GitLab project, then run your first pipeline. Explore secret management, multi-stage pipelines, stages and jobs, and GitLab container registry.
Push your local code to a new GitLab project, set up SSH authentication, initialize the repository, commit changes, and push to master or main to enable a yaml pipeline later.
Learn to set up a GitLab CI pipeline by creating a root gitlab-ci.yml, define a build stage with docker in docker, run docker build, and push to trigger the pipeline.
Demonstrate how to convert a single stage pipeline into a multi-stage GitLab CI/CD workflow with build, tag, and push stages, using docker login, build, tag, and push steps.
Push images through a multi-stage pipeline using the GitLab container registry, inbuilt in GitLab, leveraging built-in variables and Docker login to publish to the registry.
Master Terraform to create AWS infrastructure, deploy AWS ECR, and authenticate AWS with GitLab to enable CI/CD, with conditional rules and needs, reusable Bash scripts, and nested pipelines.
Write Terraform code to create an AWS ECR repository, enable image scanning, apply a public policy, and output the repository URL for use in GitLab CI/CD pipelines.
Use needs and rules in GitLab pipelines to trigger deployments on infra changes, specifically in the ECR folder, and demonstrate automated ECR creation with a shell script to run steps.
Convert a crowded GitLab pipeline into a clean, reusable shell script and call it from your pipeline to automate aws terraform init, plan, apply, and destroy across a defined directory.
Learn to leverage GitLab's predefined templates and include feature to deploy infrastructure with Terraform, using init, plan, apply, and deploy stages to automate AWS resources.
Deploy AWS EKS infrastructure via a GitLab CI/CD pipeline, including an ECS cluster, ECR, and Kubernetes deployment, using Terraform plan and apply, and manage multi-component infrastructure within the pipeline.
Troubleshoot EKS deployment in a GitLab pipeline by extending the terraform build for ECR and X, using GUI edits, and TF_ROOT variables to ensure resources deploy.
Mastering GitLab Pipelines from Scratch to Expert: A Comprehensive Guide to CI/CD with GitLab
Unlock the full potential of GitLab CI/CD in this all-inclusive course that covers everything from the basics to advanced features. Designed for developers, DevOps engineers, and tech teams, this course offers practical skills, real-world applications, and the expertise to become a GitLab CI/CD maven.
Dive deep into the world of Continuous Integration and Continuous Deployment with GitLab. Starting from the basics, learn how to write Dockerfiles for MKDocs, set up your first pipeline, manage secrets, and push code seamlessly from local to GitLab.
Advance your skills with multi-stage and multi-job pipelines, managing dependencies effectively, and understanding the game-changing 'reference' feature in GitLab for reusable code across multiple use cases.
But we don't stop there. The course also covers integrating your GitLab pipelines with Terraform to handle AWS infrastructure, creating conditions in your pipeline using 'Rules' and 'Needs,' and even guides you through nested pipelines.
Why Choose This Course?
In-depth, step-by-step explanations
Real-world examples
Comprehensive coverage of GitLab features
Immediate applicability to daily tasks
GitLab Basics
Introduction - Understand What You'll Deploy
Crafting a Dockerfile for MKDocs
Build and Deploy Applications Locally
How to Push Docker Images to GitLab Container Registry
Advanced GitLab - Module 2
Initializing a Project and Code Pushing
Your First GitLab Pipeline - Building MKDocs
Secrets Management in GitLab
Understanding Multi-Stage Pipelines
Advanced Container Management with GitLab Registry
Mastering Multi-Stage, Multi-Job Pipelines and Dependency Management
Reusable Code Snippets using 'Reference' in GitLab
GitLab with Terraform - Module 3
Create AWS Infrastructure using Terraform
Authenticating AWS through GitLab
Using 'Rules' and 'Needs' for Conditional Pipelines
Integrate Reusable Bash Scripts in GitLab Pipelines
Nested Pipelines with 'include_local' File in GitLab
Key Takeaways:
Understand GitLab's role in CI/CD and how to exploit its features for an efficient workflow.
Master the craft of writing Dockerfiles, managing secrets, and using GitLab's container registry.
Get hands-on experience with advanced pipeline configurations, including multi-stage and multi-job setups.
Discover how to integrate GitLab with AWS infrastructure using Terraform.
Learn how to create conditional pipelines and use reusable code snippets to make your pipeline more efficient.
By the end of this course, you will have the knowledge and skills to navigate GitLab's CI/CD environment with ease, boosting your productivity and marketability in the DevOps landscape. Don't miss this chance to advance your career with 'Mastering GitLab Pipelines from Scratch to Expert.'