DevOps & GitOps

From Legacy Scripts to a Unified CI/CD Platform: A Practical Migration Playbook

Migrate from Jenkins, CircleCI, or custom scripts to modern GitLab CI or GitHub Actions without breaking deployments.
17 min
Expert Guide
Updated Nov 2025
Table of Contents

Why Migrate CI/CD Platforms?

Many engineering organizations find themselves trapped with legacy CI/CD systems that have become maintenance nightmares. Whether it's Jenkins instances requiring constant plugin updates, custom shell scripts scattered across repositories, or CircleCI configurations that no one dares to touch, the pain is real and growing.

Modern CI/CD platforms like GitLab CI and GitHub Actions offer compelling advantages: native Git integration, declarative pipeline definitions, built-in security scanning, and significantly lower operational overhead. But migration isn't trivial—especially when you're managing 50+ pipelines supporting production deployments.

This playbook documents the successful migration of 200+ Jenkins pipelines to GitLab CI over 12 weeks, with zero production incidents and minimal disruption to development teams. We'll share the strategy, tooling, and lessons learned.

70% Faster Builds

Modern runners and caching strategies significantly reduce build times

10-30 min → 3-9 min
Built-in Security

SAST, DAST, and dependency scanning included by default

100% coverage
GitOps-Native

Pipeline configuration lives in Git, versioned and reviewable

Zero drift

Current State Assessment

Before migrating a single pipeline, conduct a thorough assessment of your current CI/CD landscape. Understanding what you have is critical to planning what you need.

Inventory Your Pipelines

Create a comprehensive inventory including:

Real Example: 200-Pipeline Assessment

Our assessment revealed:

  • • 212 total pipelines across 85 repositories
  • • 45% simple build-test-deploy (good candidates for Phase 1)
  • • 35% complex multi-stage with manual approvals
  • • 20% legacy scripts with hard-coded secrets (required refactoring)
  • • 12 custom Groovy scripts (needed rewriting)

Target Platform Selection

Choosing between GitLab CI, GitHub Actions, and CircleCI depends on your specific needs. Here's how they compare:

GitLab CI
  • Best for: Teams already using GitLab or wanting complete DevOps platform
  • Pros: Integrated security scanning, built-in container registry, powerful auto-DevOps features
  • Cons: Steeper learning curve for .gitlab-ci.yml syntax, self-hosted runners require maintenance

GitHub Actions
  • Best for: GitHub-hosted repositories, rapid prototyping, extensive marketplace
  • Pros: Huge action marketplace, simple YAML syntax, tight GitHub integration
  • Cons: Limited free minutes for private repos, less enterprise features than GitLab

CircleCI
  • Best for: Docker-first workflows, mature performance optimization features
  • Pros: Excellent caching, fast execution, good VCS integration
  • Cons: Higher cost, less integrated than GitLab/GitHub solutions
Our Choice: GitLab CI

We chose GitLab CI for:

  • • Unified platform: source control + CI/CD + security + registry
  • • Self-hosted runners: complete control over build environment
  • • Cost-effective: unlimited minutes on self-hosted runners
  • • Compliance: air-gapped runners for regulated workloads

Migration Strategy: Gradual vs Big Bang

You have two approaches: migrate everything at once (big bang) or gradually migrate pipeline by pipeline. For most organizations, gradual migration is the safer choice.

Big Bang Migration
When to use:
  • • Small teams (<10 pipelines)
  • • Greenfield projects
  • • Mandated deadline
Risks:
  • • High chance of production impact
  • • Team overwhelm
  • • Difficult rollback
Gradual Migration (Recommended)
When to use:
  • • Large pipeline inventory (50+)
  • • Production-critical systems
  • • Learning curve needed
Benefits:
  • • Learn and improve iteratively
  • • Easy rollback per pipeline
  • • Team ramps up gradually
Recommended: 3-Phase Approach
  • Phase 1: Proof of Concept (Weeks 1-3)

    Migrate 3-5 low-risk pipelines to validate approach and tooling

  • Phase 2: Parallel Running (Weeks 4-8)

    Run new and old pipelines side-by-side, migrate 50% of pipelines

  • Phase 3: Full Cutover (Weeks 9-12)

    Complete migration, decommission legacy system


Phase 1: Proof of Concept (3-5 Pipelines)

Start with low-risk pipelines to validate your migration approach, tooling, and team readiness. Choose pipelines that represent different patterns you'll encounter.

Select Your POC Pipelines

Choose pipelines that cover different scenarios:

Example: Jenkins to GitLab CI Migration

Before: Jenkinsfile
pipeline {
  agent any
  stages {
    stage('Build') {
      steps {
        sh 'npm install'
        sh 'npm run build'
      }
    }
    stage('Test') {
      steps {
        sh 'npm test'
      }
    }
    stage('Deploy') {
      when { branch 'main' }
      steps {
        sh './deploy.sh production'
      }
    }
  }
}
After: .gitlab-ci.yml
stages:
  - build
  - test
  - deploy

variables:
  NODE_VERSION: "18"

build:
  stage: build
  image: node:${NODE_VERSION}
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 hour
  cache:
    paths:
      - node_modules/

test:
  stage: test
  image: node:${NODE_VERSION}
  script:
    - npm ci
    - npm test
  coverage: '/All files[^|]*\|[^|]*\s+([\d\.]+)/'

deploy:
  stage: deploy
  image: alpine:latest
  script:
    - apk add --no-cache bash
    - ./deploy.sh production
  only:
    - main
  environment:
    name: production
    url: https://app.example.com
  when: manual
Key Improvements in GitLab CI Version
  • • Explicit caching of node_modules (faster subsequent runs)
  • • Artifact preservation between stages
  • • Built-in coverage parsing
  • • Environment tracking for deployments
  • • Manual approval gate for production

Phase 2: Parallel Running

Run both old and new pipelines simultaneously to build confidence before fully committing. This gives you an escape hatch if issues arise.

Implementation Strategy

Cost Consideration

Running parallel pipelines temporarily doubles your CI/CD costs. Budget for this during the transition period:

  • • Estimated duration: 4-6 weeks
  • • Additional cost: ~$2,000-5,000 depending on scale
  • • Worth it: Eliminates risk of production breakage

Phase 3: Full Cutover

With confidence built from parallel running, switch fully to the new platform and decommission the legacy system.

Cutover Checklist

0

Production Incidents

Zero downtime during entire migration

70%

Faster Builds

Average build time reduction

$3.2K

Monthly Savings

Reduced infrastructure and maintenance


Lessons Learned & Common Pitfalls

After completing 200+ pipeline migrations, here are the key lessons we learned:

What Worked Well
  • Start with Simple Pipelines

    Building confidence early accelerated later phases

  • Automated Conversion Tools

    Custom scripts converted 60% of basic Jenkins pipelines automatically

  • Team Champions

    Designated GitLab experts in each team smoothed adoption

  • Comprehensive Logging

    Detailed migration logs helped troubleshoot issues quickly

Common Pitfalls to Avoid
  • Underestimating Secrets Migration

    Secret rotation took 2x longer than expected—plan accordingly

  • Ignoring Custom Scripts

    Legacy Groovy scripts required complete rewrites, not simple ports

  • Insufficient Runner Capacity

    Provision 30% more runner capacity than calculated—queue times matter

  • Poor Communication

    Weekly migration updates kept stakeholders informed and reduced anxiety

Final Recommendations
  • • Allocate 20% buffer time for unexpected issues
  • • Invest in automated testing for pipeline configurations
  • • Document everything—future you will thank present you
  • • Celebrate milestones to maintain team morale
  • • Keep legacy system running for 30 days post-migration

Ready to Modernize Your CI/CD Platform?

Get expert guidance on migrating your pipelines with zero downtime

Need Help with Your CI/CD Migration?

Our platform engineering experts have migrated 100+ teams to modern CI/CD systems
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