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GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines 

  • Offered byKodeKloud

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines
 at 
KodeKloud 
Overview

Unlock the full potential of GitLab CI/CD, accelerate software delivery, and achieve continuous innovation within your organization

Duration

13 hours

Mode of learning

Online

Official Website

Go to Website External Link Icon

Credential

Certificate

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines
 at 
KodeKloud 
Highlights

  • Earn a certificate after completion of course
Details Icon

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines
 at 
KodeKloud 
Course details

Skills you will learn
Who should do this course?

Software developers

DevOps engineers

IT professionals seeking to master CI/CD automation with GitLab

What are the course deliverables?

Architecture & Core Concepts

Understanding the principles and components of GitLab CI/CD

Exploring the orchestration of CI/CD processes within GitLab

 

Continuous Integration with GitLab

Automating builds, tests, and code validation

Structuring pipelines and integrating with version control systems

Hands-on Lab: Exploring Pipeline Configuration

Hands-on Lab: Create a Pipeline with Unit testing and Code Coverage

 

Continuous Deployment with GitLab

Automating deployment processes and managing releases

Implementing blue-green deployments, canary releases, and rollback mechanisms

Hands-on Lab: Testing, Artifacts, and Cache

Hands-on Lab: Docker, and Services

Hands-on Lab: K8S - Deploy App to Dev and Staging Environment

 

Optimization, Security, and Monitoring

Fine-tuning performance and resource utilization

Implementing robust security measures and monitoring pipeline health

Hands-on Lab: Optimizing, Securing and Monitoring Pipelines

 

Self-Managed Runners

Customizing CI/CD infrastructure for optimal scalability

Managing resources efficiently with self-managed runners

Hands-on Lab: Install Runner and Execute AWS S3 Jobs

 

Auto DevOps

Streamlining CI/CD automation with GitLab's built-in feature

Simplifying the development lifecycle from code to production

Hands-on Lab: GitLab AutoDevOps

Read more
More about this course

Embark on a comprehensive journey into the heart of GitLab CI/CD with this immersive course, designed to equip you with the knowledge and skills needed to architect, deploy, and optimize efficient pipelines within your projects

From foundational concepts to advanced techniques, dive deep into the world of Continuous Integration and Continuous Deployment with GitLab

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines
 at 
KodeKloud 
Curriculum

Introduction
Course Introduction 

Problem Statement (Meeting with XYZ Team)

Basics of CICD 

Introducing GitLab CICD 

Create GitLab Account 

Join Our Community

Architecture & Core Concepts


GitLab CI CD Core Components

Create and Run a Basic Pipeline 

Types of Runners 

Types of Executors 

GitLab CICD Architecture – SaaS 

Run Jobs with Shared Runners 

Install Third Party Libraries using before_script

Executing Shell Scripts in a Job

Pipeline with Multiple Dependent Jobs )

Using stage vs stages Keyword

Artifacts – Storing Job Data 

Using needs Keyword 

Lab 1 – Exploring Pipeline Configuration Part-1

Feedback: GitLab CI/CD

Working with Variables at different levels 

Masking Variables using Project Settings 

Exploring Predefined CICD Variables 

Intro to Merge Requests 

Raise a Merge Request & Use rules at Job level

Use rules at Workflow Level 

Pipeline Schedules

Resource Groups 

Use Job Timeout

Use Job Images

Parallel Matrix 

Skipping Pipeline Trigger 

Lab 2 – Exploring Pipeline Configuration Part-2

Feedback: GitLab CI/CD


Continuous Integration with GitLab

Project Status Meeting – 1 

NodeJS Application Overview

Run and Test NodeJS App on Local Machine

Understanding XYZ Team DevOps Pipeline

Import Git Repo 

Pipeline – Configure Unit Testing 

Artifacts – Unit Test Reports

Pipeline – Configure Coverage and Archive Reports

Ignoring Job Failure 

Exploring Reports through Merge Request 

Caching Dependencies 

Invalidate Cache 

Project Status Meeting – 2 

Lab 3 – Testing, Artifacts, and Cache

Feedback: GitLab CI/CD

What are Services

Run Unit Testing & Code Coverage Jobs using Services

Docker Build 

Docker Test 

Docker Push 

Publish Image to Gitlab Container Registry 

Project Status Meeting – 3 

Lab 4 – Docker, and Services

Feedback: GitLab CI/CD


Continuous Deployment with GitLab

Understanding Deployment Pipeline 

Kubernetes – A Brief Overview

Exploring Kubernetes Cluster 

Job – Setup Kubectl 

Job – Configuring Kubeconfig file

Job – Replace Placeholders Tokens 

Job – Create Secret and Deploy to K8S Dev Environment 

Job – Fetch Ingress URL & Integration testing 

Understand Gitlab Environments 

Environment and Deployments 

Connecting a Kubernetes cluster with GitLab via agentK 

Configure Gitlab Agent 

Customize Agent Config and Staging Environment 

Manually Promote to Staging Environment via agentK 

Lab 5 – K8S – Deploy App to Dev and Staging Environment

Feedback: GitLab CI/CD


Optimization, Security and Monitoring

Optimize CICD configuration files 

Extends – Reuse Configuration – NodeJS Jobs 

Anchors – Reuse Configuration – Deployment Jobs

Reference Tags – Reuse Configuration – Integration Testing 

Template and Types of Includes 

Component – Code Quality

Template – SAST 

Component – Secret Detection 

Template- Container Scanning 

Slack Channel Notifications 

ChatOps with Slack

Pipeline Monitoring with Prometheus and Grafana

Adding a Pipeline status & Code Coverage Badge 

Lab 6 – Optimizing, Securing and Monitoring Pipelines

Feedback: GitLab CI/CD


Self-Managed Runners

Self-Managed Runners 

Install Project Runner on Linux Machine with Shell Executor 

Run Jobs on the installed Shell Executor 

Install Group Runner on Linux Machine with Docker Executor 

Use Local Template to Upload Reports to AWS/Minio S3 Bucket 

Lab 7 – Install Runner and Execute AWS S3 Jobs

Feedback: GitLab CI/CD


Auto DevOps

What is Auto DevOps

Configuring AutoDevOps 

Raise a Merge Request and Checkout AutoDevOps 

Fixing Issues and Deploying to Review Environment

Automatic Deployment to Production Environment 

Switch to ULTIMATE Tier 

Staging Environment and Canaray Deployment with AutoDevOps part 1 

Staging Environment and Canaray Deployment with AutoDevOps part 2 

Rollback Deployment

AutoDevOps Customization 

Feedback: GitLab CI/CD

Faculty Icon

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines
 at 
KodeKloud 
Faculty details

Barahalikar Siddharth
An educator and innovator, committed to advancing technology through both professional practice and teaching

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