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.
Modern runners and caching strategies significantly reduce build times
SAST, DAST, and dependency scanning included by default
Pipeline configuration lives in Git, versioned and reviewable
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.
Create a comprehensive inventory including:
How many pipelines? Simple builds or complex multi-stage deployments?
Git webhooks, scheduled jobs, manual triggers, API calls?
Docker registries, artifact repositories, secret managers, notification systems
Kubernetes, EC2, Lambda, on-prem servers
Groovy scripts, custom plugins, proprietary tooling
Our assessment revealed:
Choosing between GitLab CI, GitHub Actions, and CircleCI depends on your specific needs. Here's how they compare:
We chose GitLab CI for:
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.
Migrate 3-5 low-risk pipelines to validate approach and tooling
Run new and old pipelines side-by-side, migrate 50% of pipelines
Complete migration, decommission legacy system
Start with low-risk pipelines to validate your migration approach, tooling, and team readiness. Choose pipelines that represent different patterns you'll encounter.
Choose pipelines that cover different scenarios:
Basic CI workflow to validate core functionality
Test container registry integration
Validate deployment automation and secrets management
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'
}
}
}
}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: manualRun both old and new pipelines simultaneously to build confidence before fully committing. This gives you an escape hatch if issues arise.
Configure Git webhooks to trigger both Jenkins and GitLab CI
Validate that both systems produce identical artifacts
Track build times, success rates, and reliability
Developers get hands-on experience with new system
Running parallel pipelines temporarily doubles your CI/CD costs. Budget for this during the transition period:
With confidence built from parallel running, switch fully to the new platform and decommission the legacy system.
100% of production pipelines must be operational
Developer guides, runbooks, incident response procedures
Prevent accidental triggers of legacy system
Keep backups for 90 days before deletion
Shut down old Jenkins servers, reduce costs
Zero downtime during entire migration
Average build time reduction
Reduced infrastructure and maintenance
After completing 200+ pipeline migrations, here are the key lessons we learned:
Building confidence early accelerated later phases
Custom scripts converted 60% of basic Jenkins pipelines automatically
Designated GitLab experts in each team smoothed adoption
Detailed migration logs helped troubleshoot issues quickly
Secret rotation took 2x longer than expected—plan accordingly
Legacy Groovy scripts required complete rewrites, not simple ports
Provision 30% more runner capacity than calculated—queue times matter
Weekly migration updates kept stakeholders informed and reduced anxiety
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