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. So, you’ll have built several CI/CD pipelines with real life examples & best practices!
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
Build a Multi-Stage Pipeline
Configure a CI/CD pipeline for a Monorepo Microservice
Configure a CI/CD pipeline for a Polyrepo Microservice
Deploy to a managed Kubernetes cluster
Setup a CI/CD pipeline with best practices
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
Configure Job Artifacts (test report, passing files and env vars)
GitLab’s Job Templates
Reuse pipeline configuration by writing own job ci-templates library
Conditionals
needs, dependencies, extends, only et
What you’ll learn – Real Life Demos & CI/CD Concepts
Pipeline: Test, Build, Push & Deploy Docker Containers
Deploy with Docker Compose
Configure dynamic versioning
Configure caching to speed up job execution
Configure security tests (SAST)
Configure CI/CD pipelines for Monorepo & Polyrepo Microservices Application
Promote to staging and production
Configure local & remote GitLab Runners
Deploy to a K8s cluster from CI/CD pipeline
Learn Best Practices & industry insights!
