Why companies choose GitLab
1. Single application
Why companies choose GitLab
1. Single application
Replaces GitHub + Jenkins + Jira + Nexus
Instead of:
GitHub → Source Code
Jenkins → CI/CD
Jira → Project Tracking
Nexus → Artifact Repository
You can use:
GitLab
Benefits
- One login
- One user management system
- One API
- Less integration work
2. Self-hosted & data control
You install GitLab on your own servers.
Your Server
↓
GitLab
Your code never leaves your organization.
Useful for
- Banks
- Government agencies
- Defense organizations
- Companies with strict compliance requirements
Air-gapped
Means no internet connection required.
Internet ❌
Internal Network
↓
GitLab
3. Built-in security (DevSecOps)
GitLab can automatically scan code for security issues.
SAST
Scans source code.
Source Code
↓
SAST
↓
Find insecure code
DAST
Scans running applications.
Running Website
↓
DAST
↓
Find security holes
Dependency Scanning
Checks third-party libraries.
Spring Boot App
↓
Log4j Vulnerability Found
Secret Detection
Finds passwords and API keys accidentally committed.
AWS_SECRET_KEY=xxxx
↓
Detected
No extra plugins needed.
4. Free & Open Source (CE)
CE = Community Edition
GitLab CE is free.
Cost = $0
You can host:
5 Users
50 Users
500 Users
5000 Users
without paying per user.
5. Native Kubernetes Support
GitLab works directly with Kubernetes.
Developer
↓
Git Push
↓
GitLab Pipeline
↓
Kubernetes
GitLab Agent
GitLab doesn’t push into the cluster.
Instead:
GitLab
↑
GitLab Agent
↑
Kubernetes Cluster
The cluster pulls updates securely.
This is called GitOps.
6. MR = CI + Review in One Screen
MR = Merge Request
When you open an MR, you see:
Code Changes
Pipeline Status
Security Results
Test Results
Coverage
Review Comments
all in one place.
Example:
Feature Branch
↓
Merge Request
↓
✓ Build Passed
✓ Tests Passed
✓ Security Scan Passed
✓ Approved
↓
Merge
No need to switch between multiple tools.
7. DORA Metrics Built In
DORA metrics measure DevOps performance.
Deployment Frequency
How often you deploy.
10 Deployments / Day
Lead Time
How long code takes to reach production.
Code Commit
↓
Production
Change Failure Rate
How many deployments fail.
100 Deployments
5 Failed
Failure Rate = 5%
MTTR
Mean Time To Recovery
How quickly you fix production issues.
Incident
↓
Fix
GitLab calculates these automatically from your pipelines and deployments.
DORA is a DevOps research framework that defines four key metrics — Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time To Recovery (MTTR) — to measure software delivery performance and operational reliability.
One-line Summary
GitLab is popular because it combines source control, CI/CD, project management, security scanning, artifact storage, Kubernetes deployment, and DevOps metrics into a single self-hosted platform.
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