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On this page
  • Overview
  • Key Features
  • Real-Life Scenarios
  • Enterprise Migration Case Study
  • Startup Scale-Up Scenario
  • Installation Guide
  • Linux Installation (Ubuntu/Debian)
  • Windows Subsystem for Linux (WSL)
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  • GitLab vs GitHub
  • GitLab vs Azure DevOps
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Edit on GitHub
  1. CI/CD & GitOps
  2. CI/CD Platforms - Tool selection and implementation

GitLab

Overview

GitLab is an end-to-end DevOps platform that combines source control management, CI/CD, security scanning, package registry, and more in a single application. As of 2025, GitLab has evolved into a comprehensive DevSecOps lifecycle tool with advanced AI capabilities and improved scalability.

Key Features

  • Source Control Management: Git repository management with advanced branch protection and merge request workflows

  • CI/CD Pipelines: Built-in continuous integration and deployment with auto-scaling runners

  • Container Registry: Private container registry with vulnerability scanning

  • Security Scanning: SAST, DAST, dependency scanning, and container scanning

  • Issue Tracking: Agile project management with epics, issues, and milestones

  • Wiki & Documentation: Built-in documentation system with markdown support

  • Value Stream Analytics: Metrics and insights for the entire DevOps lifecycle

  • Infrastructure as Code: Terraform integration and infrastructure management

  • AI-Powered Features: Automated code review, security scanning, and merge request analysis

Real-Life Scenarios

Enterprise Migration Case Study

Company: Global Financial Services ProviderChallenge: Migrate from multiple disparate tools to a unified DevOps platformSolution: GitLab Premium self-hosted deployment

Implementation Steps:

  1. Set up high-availability GitLab installation across multiple data centers

  2. Migrated 5000+ repositories from various sources (GitHub, Bitbucket, SVN)

  3. Implemented custom CI/CD templates for standardization

  4. Integrated with existing LDAP and SSO systems

Results:

  • 40% reduction in tool maintenance costs

  • 60% faster deployment cycles

  • Improved security compliance with built-in scanning

  • Standardized DevOps practices across 200+ teams

Startup Scale-Up Scenario

Company: AI/ML Platform ProviderChallenge: Need for rapid scaling with limited DevOps resourcesSolution: GitLab Ultimate Cloud (SaaS)

Implementation:

  1. Utilized Auto DevOps for automatic CI/CD configuration

  2. Implemented container scanning and dependency tracking

  3. Set up review apps for feature branch testing

  4. Integrated with cloud Kubernetes clusters

Results:

  • Zero-touch deployment pipeline for 100+ microservices

  • 90% reduction in security vulnerabilities

  • Automated compliance reporting

  • 3x faster onboarding for new developers

Installation Guide

Linux Installation (Ubuntu/Debian)

# Add GitLab repository
curl -s https://packages.gitlab.com/install/repositories/gitlab/gitlab-ee/script.deb.sh | sudo bash

# Install GitLab
sudo EXTERNAL_URL="https://gitlab.example.com" apt-get install gitlab-ee

# Configure and start GitLab
sudo gitlab-ctl reconfigure

Windows Subsystem for Linux (WSL)

# Update WSL system
sudo apt update && sudo apt upgrade -y

# Install prerequisites
sudo apt install -y curl openssh-server ca-certificates tzdata perl

# Add GitLab repository
curl -s https://packages.gitlab.com/install/repositories/gitlab/gitlab-ee/script.deb.sh | sudo bash

# Install GitLab
sudo EXTERNAL_URL="http://localhost" apt-get install gitlab-ee

# Configure and start GitLab
sudo gitlab-ctl reconfigure

NixOS Installation

# In configuration.nix
{ config, pkgs, ... }:

{
  services.gitlab = {
    enable = true;
    port = 80;
    host = "gitlab.example.com";
    https = true;
    initialRootPassword = "file:/var/keys/gitlab/root_password";
    
    # Configure backup
    backup = {
      enable = true;
      path = "/var/backup/gitlab";
      interval = "daily";
    };
    
    # Configure SMTP
    smtp = {
      enable = true;
      address = "smtp.example.com";
      port = 587;
    };
    
    # Extra configuration
    extraConfig = {
      gitlab = {
        email_from = "gitlab@example.com";
        email_display_name = "GitLab";
      };
    };
  };

  # Open firewall ports
  networking.firewall.allowedTCPPorts = [ 80 443 ];
}

Pros and Cons

Advantages

  1. Complete DevOps Platform

    • Single application for entire DevOps lifecycle

    • Reduced tool integration complexity

    • Unified authentication and authorization

  2. Self-Hosted Option

    • Complete control over data and infrastructure

    • Customizable to specific requirements

    • Air-gapped installation support

  3. Built-in CI/CD

    • No third-party CI/CD tools needed

    • Native container registry integration

    • Auto DevOps capability

  4. Security Features

    • Comprehensive security scanning

    • Container vulnerability analysis

    • Compliance management

  5. Value Stream Analytics

    • End-to-end DevOps metrics

    • Team productivity insights

    • Release analytics

Disadvantages

  1. Resource Requirements

    • Higher system requirements for self-hosted

    • Significant maintenance overhead

    • Complex HA setup

  2. Learning Curve

    • Complex configuration options

    • Extensive feature set to master

    • Regular updates to keep up with

  3. Cost

    • Higher pricing for premium features

    • Self-hosted infrastructure costs

    • Storage costs for large repos

Comparison with Alternatives

GitLab vs GitHub

Feature
GitLab
GitHub

Source Control

Native Git

Native Git

CI/CD

Built-in

GitHub Actions

Container Registry

Included

Included

Issue Tracking

Comprehensive

Basic

Wiki

Built-in

Built-in

Self-Hosted

Yes

Yes (Enterprise)

Free Tier

More features

Limited features

Community

Smaller

Larger

Package Registry

Comprehensive

Basic

Security Scanning

Built-in

Marketplace apps

GitLab vs Azure DevOps

Feature
GitLab
Azure DevOps

Source Control

Native Git

Git/TFVC

CI/CD

Built-in

Azure Pipelines

Artifact Storage

Built-in

Azure Artifacts

Work Items

Issues/Epics

Rich work item types

Test Management

Basic

Comprehensive

Cloud Integration

Multi-cloud

Azure-focused

Scaling

Manual/Auto

Auto-scaling

Cost Model

User-based

User/Parallel job

Release Management

Built-in

Comprehensive

Security

Built-in

Azure Security

Best Practices

  1. Repository Management

    • Use merge request templates

    • Implement branch protection rules

    • Regular repository maintenance

  2. CI/CD Configuration

    • Use include templates

    • Implement caching strategies

    • Optimize pipeline performance

  3. Security

    • Enable all security scanners

    • Regular security policy updates

    • Implement role-based access

  4. Performance

    • Regular instance tuning

    • Implement Geo replication

    • Monitor system resources

  5. Backup and Recovery

    • Regular backup testing

    • Implement HA where needed

    • Document recovery procedures

Related Topics

PreviousGitHub ActionsNextGitLab Runner

Last updated 1 day ago

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