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

CI/CD

Git

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

Architect GitLab CI/CD pipeline. Build workflows, continuous integration, deployment (Docker/K8s/AgentK), self-managed runners, and Auto DevOps for end-to-end automation.

Barahalikar Siddharth

Technical Architect and Educator

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

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Lessons

Challenges

107

Topics

What you’ll learn

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Description

Ever wondered what sets KodeKloud apart from the rest? Let's dive in and explore the unique feature that make learning with us an exceptional experience.

We're thrilled to introduce you to our browser-based hands-on labs. Here's where accessibility and convenience meet. With these labs, learning becomes not just informative, but interactive and practical. Explore, experiment, and confidently deploy solutions directly within your browser.

What is the scope of this course and labs?

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.

• 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

Who Should Attend:

Software developers
DevOps engineers
IT professionals seeking to master CI/CD automation with GitLab

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

About the instructor

Barahalikar Siddharth is not just a technologist but also an educator and innovator, committed to advancing technology through both professional practice and teaching.

With over 8 years of experience in DevSecOps, MuleSoft, Kubernetes, Apigee, Istio, and GCP, he is a Technical Architect known for his innovative approach to technology solutions. His expertise spans API development and management, utilizing platforms like Google Apigee, Mulesoft, and Kubernetes.

As an instructor, Siddharth shares his deep knowledge in Kubernetes, and DevSecOps, providing practical and comprehensive learning experiences. His academic contributions include papers on extending microservices using Istio Service Mesh and the management of microservices with DevOps tools.

Siddharth's career began at HCL Technologies, evolving from a Software Developer to a Technical Architect.His accolades include multiple Infinity League recognitions and a CKAD: Certified Kubernetes Application Developer certification.

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Course Content

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Introduction

Topics

Lesson Content

Course Introduction (03:40)

Problem Statement (Meeting with XYZ Team) (06:23)

Basics of CICD (08:26)

Introducing GitLab CICD (08:12)

Create GitLab Account (04:28)

Join Our Community

Architecture & Core Concepts

Topics

Lesson Content

GitLab CI CD Core Components (06:41)

Create and Run a Basic Pipeline (12:46)

Types of Runners (02:52)

Types of Executors (07:00)

GitLab CICD Architecture – SaaS (06:11)

Run Jobs with Shared Runners (10:10)

Install Third Party Libraries using before_script (06:26)

Executing Shell Scripts in a Job (06:14)

Pipeline with Multiple Dependent Jobs (04:08)

Using stage vs stages Keyword (07:58)

Artifacts – Storing Job Data (08:40)

Using needs Keyword (14:08)

Lab 1 – Exploring Pipeline Configuration Part-1

Feedback: GitLab CI/CD

Working with Variables at different levels (08:51)

Masking Variables using Project Settings (06:49)

Exploring Predefined CICD Variables (09:24)

Intro to Merge Requests (01:04)

Raise a Merge Request & Use rules at Job level

Use rules at Workflow Level (12:22)

Pipeline Schedules (04:39)

Resource Groups (06:40)

Use Job Timeout (02:44)

Use Job Images (10:05)

Parallel Matrix (09:45)

Skipping Pipeline Trigger (02:12)

Lab 2 – Exploring Pipeline Configuration Part-2

Feedback: GitLab CI/CD

Continuous Integration with GitLab

Topics

Lesson Content

Project Status Meeting – 1 (00:45)

NodeJS Application Overview (02:48)

Run and Test NodeJS App on Local Machine (08:23)

Understanding XYZ Team DevOps Pipeline (02:56)

Import Git Repo (02:09)

Pipeline – Configure Unit Testing (09:33)

Artifacts – Unit Test Reports (06:47)

Pipeline – Configure Coverage and Archive Reports (09:33)

Ignoring Job Failure (05:10)

Exploring Reports through Merge Request (11:02)

Caching Dependencies (14:13)

Invalidate Cache (05:35)

Project Status Meeting – 2 (02:03)

Lab 3 – Testing, Artifacts, and Cache

Feedback: GitLab CI/CD

What are Services (07:24)

Run Unit Testing & Code Coverage Jobs using Services (10:21)

Docker Build (08:48)

Docker Test (09:28)

Docker Push (05:09)

Publish Image to Gitlab Container Registry (12:19)

Project Status Meeting – 3 (00:30)

Lab 4 – Docker, and Services

Feedback: GitLab CI/CD

Continuous Deployment with GitLab

Topics

Lesson Content

Understanding Deployment Pipeline (01:22)

Kubernetes – A Brief Overview (04:27)

Exploring Kubernetes Cluster (04:53)

Job – Setup Kubectl (06:02)

Job – Configuring Kubeconfig file (06:16)

Job – Replace Placeholders Tokens (15:42)

Job – Create Secret and Deploy to K8S Dev Environment (10:24)

Job – Fetch Ingress URL & Integration testing (09:18)

Understand Gitlab Environments (05:54)

Environment and Deployments (14:52)

Connecting a Kubernetes cluster with GitLab via agentK (07:13)

Configure Gitlab Agent (08:23)

Customize Agent Config and Staging Environment (14:40)

Manually Promote to Staging Environment via agentK (18:38)

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

Feedback: GitLab CI/CD

Optimization, Security and Monitoring

Topics

Lesson Content

Optimize CICD configuration files (08:45)

Extends – Reuse Configuration – NodeJS Jobs (10:53)

Anchors – Reuse Configuration – Deployment Jobs (13:19)

Reference Tags – Reuse Configuration – Integration Testing (06:23)

Template and Types of Includes (07:47)

Component – Code Quality (19:15)

Template – SAST (13:24)

Component – Secret Detection (11:12)

Template- Container Scanning (18:06)

Slack Channel Notifications (05:55)

ChatOps with Slack (08:26)

Pipeline Monitoring with Prometheus and Grafana (21:50)

Adding a Pipeline status & Code Coverage Badge (05:25)

Lab 6 – Optimizing, Securing and Monitoring Pipelines

Feedback: GitLab CI/CD

Self-Managed Runners

Topics

Lesson Content

Self-Managed Runners (07:33)

Install Project Runner on Linux Machine with Shell Executor (15:42)

Run Jobs on the installed Shell Executor (17:31)

Install Group Runner on Linux Machine with Docker Executor (06:19)

Use Local Template to Upload Reports to AWS/Minio S3 Bucket (17:01)

Lab 7 – Install Runner and Execute AWS S3 Jobs

Feedback: GitLab CI/CD

Auto DevOps

Topics

Lesson Content

What is Auto DevOps (07:16)

Configuring AutoDevOps (19:51)

Raise a Merge Request and Checkout AutoDevOps (20:36)

Fixing Issues and Deploying to Review Environment (20:30)

Automatic Deployment to Production Environment (08:30)

Switch to ULTIMATE Tier (08:53)

Staging Environment and Canary Deployment with AutoDevOps part 1 (22:59)

Staging Environment and Canary Deployment with AutoDevOps part 2 (19:44)

Rollback Deployment (06:10)

AutoDevOps Customization (23:33)

Feedback: GitLab CI/CD

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