DevOps Developer with GitLab CI/CD Salary in 2024

Where is GitLab CI/CD used?

Automating the Robot Overlords

• Gone are the days of manual labor in code deployment; GitLab CI/CD tirelessly automates this with robotic precision, freeing human devs for coffee breaks.

Bug Squasher 3000

• It swoops in like a superhero, running automated tests to crush code bugs before they hatch into software gremlins, ensuring a smoother user experience!

Operation Merge Conflict Avoidance

• This crafty tool uses continuous integration to keep code versions in harmonious symphony, preventing the dreaded "mergepocalypse."

The DevOps Speedster

• Zooming past traditional software processes, GitLab CI/CD slashes time to market with its blazing-fast pipelines, thrilling stakeholders with speedy delivery.

GitLab CI/CD Alternatives

Jenkins

An open-source automation server enabling developers to reliably build, test, and deploy their software. Supports various SCMs like Git, SVN.

pipeline {
    agent any
    stages {
        stage('Build') {
            steps {
                echo 'Building...'
            }
        }
        stage('Test') {
            steps {
                echo 'Testing...'
            }
        }
        stage('Deploy') {
            steps {
                echo 'Deploying...'
            }
        }
    }
}

• Vast plugin ecosystem


• Highly configurable and extensible


• Steep learning curve


• Risk of configuration drift


• Requires maintenance of Jenkins servers


• Strong community support

GitHub Actions

CI/CD platform that automates workflows in response to events within GitHub repositories.

name: CI

on: [push]

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2
    - name: Run a one-line script
      run: echo Hello, world!
    - name: Run a multi-line script
      run: |
        echo Add other actions to build,
        echo test, and deploy your project.

• Integrated with GitHub repositories


• Free minutes for public repositories


• Limited build minutes for private repos


• Dependent on GitHub platform


• Easier starter for GitHub users


• Communal marketplace for actions

CircleCI

A cloud-based system for running automated tests and deploying code with integration to VCS like GitLab and GitHub.

version: 2.1
jobs:
  build:
    docker:
      - image: cimg/base:stable
    steps:
      - checkout
      - run: echo "Hello, World!"
      - run:
          name: Build Application
          command: make build

• Quick setup with YAML configuration


• Parallel job execution


• Free tier has limited build capacity


• Complex pricing for larger teams


• Optimized for high-velocity teams


• Strong Docker support

Quick Facts about GitLab CI/CD

GitLab CI/CD: A Symphony of Automated Steps

Once upon a time in 2011, Dmitriy Zaporozhets and Valery Sizov conjured GitLab, but it wasn't until 2015 that they waved their magic wands to add CI/CD powers. This feature turned every push into a domino chain reaction, where code leaps and pirouettes through automated tests and deploys like an elegant ballet.

YAML Spells and Pipelines

In the wizardry world of GitLab CI/CD, the spellbook is a YAML file. Write your incantations in '.gitlab-ci.yml' and voilà, pipelines spring to life, herding codes through testing to production. Watch in awe as 'stages' and 'jobs' dance in sequence, proving that choreography isn't just for Broadway. Here's a glimpse:

stages:
  - test
  - deploy

job1:
  stage: test
  script: echo "Running tests..."

job2:
  stage: deploy
  script: echo "Deploying application..."

From Solo to Ensemble - Merge Trains

Imagine a train where each carriage is a merge request, all lined up, waiting for the baton to pass down. In GitLab land, they called it a "Merge Train", introduced in 2019. It's a grand parade of code, each piece waiting its turn to merge into the main act - the 'master' branch, reducing the chaos and ensuring that the show goes on without a hitch.

What is the difference between Junior, Middle, Senior and Expert GitLab CI/CD developer?

Top 10 GitLab CI/CD Related Tech

1. 
   

   YAML: The Puppeteer's Script

   
   

   
   Imagine controlling the strings of your software puppet with the finesse of a maestro. That's YAML in GitLab CI/CD – a text-based format where you scribe the incantations (read: configurations) that bring your pipeline to life. You'll conjure up stages, jobs, and steps, declaring each act of the CI/CD ballet simply and clearly. It's prose, but for code automation! Get it wrong, and it's less 'Swan Lake' and more 'Robot Chicken.' Remember, indentation is the rhythm of this dance.
   

   
   stages:
     - build
     - test
     - deploy
   

   
   
   
   


2. 
   

   Docker: The Shapeshifting App Conjurer

   
   

   
   Dare to encapsulate your applications into mystical containers with Docker, the sorcery that GitLab CI/CD adepts use for creating predictable environments faster than you can say "abracadabra"! Spin up containers for every build, test, or deploy with only a Dockerfile and sheer will (plus some CI configs). It's like summoning genies that already know what to do: build here, run tests there, deploy everywhere. And the best part? If a genie goes rogue, just banish it with a flick of the CLI!
   

   
   image: docker:19.03.12
   
   services:
     - docker:dind
   
   before_script:
     - docker info
   

   
   
   
   


3. 
   

   Git: The Time-Traveler's Toolbox

   
   

   
   With Git, you're the master of time for your codebase. Revert, branch, merge – it's like hopping timelines without creating paradoxes (mostly). GitLab CI/CD harnesses Git's powers to trigger pipelines on commits, merges, tags – you name it. Tread carefully, for with great power comes great responsibility. Beware the wrath of the merge conflict, the scourge of repositories everywhere.
   

   
   git checkout -b new-feature-branch
   git add .
   git commit -m "Adding a new feature"
   git push origin new-feature-branch
   

   
   
   
   


4. 
   

   Bash/Shell Scripting: The Software Enchanter's Spellbook

   
   

   
   Unleash your inner wizard with Bash, the ancient tongue spoken by shells everywhere. Using mere words, you can summon files, banish processes, and even conjure complex enchantments (scripts!) to bend the fabric of the server realm to your indomitable will. In GitLab CI/CD, a sprinkle of Bash spells in your `.gitlab-ci.yml` can transmute leaden commands into CI gold.
   

   
   before_script:
     - echo "Prepare the arcane artifacts!"
     - chmod +x ./myscript.sh
   
   script:
     - ./myscript.sh deploy
   

   
   
   
   


5. 
   

   Kubernetes: The Cloud Tamer

   
   

   
   Soar above the clouds on the back of Kubernetes, the dragon every GitLab CI/CD knight should tame. Control entire fleets of containers with kubectl as your lance, orchestrating deployments, managing scaling, and healing your services like a medic on wheels. It's the noble steed in the race to scalability and high availability, so strap on your helmet; it's going to be a wild ride.
   

   
   deploy_to_kubernetes:
     script:
       - kubectl apply -f deployment.yaml
   

   
   
   
   


6. 
   

   Ansible: The No-Touch Puppet Master

   
   

   
   With Ansible, you need not soil your royal hands in the mire of configurations. Dispatch your orders through playbooks and watch your servers dance to your tune, all without a single agent spying on your estate. It's the gentle whisper in the ear of your infrastructure, convincing it to configure itself, deploy your app, and even manage its secrets, all orchestrated within the halls of GitLab CI/CD.
   

   
   deploy_to_server:
     script:
       - ansible-playbook -i inventory deployment.yml
   

   
   
   
   


7. 
   

   Terraform: The Landscape Artist

   
   

   
   If Kubernetes is the cloud tamer, then Terraform is the cloud sculptor, terraforming the raw ether of cloud services into exquisite structures of your design. Declare your desired state, and Terraform carves it out of nothingness, like an artist committed to "infrastructure as code". Use it within GitLab CI/CD to ensure that each environment matches your grand vision to the last subnet.
   

   
   terraform_apply:
     script:
       - terraform init
       - terraform apply -auto-approve
   

   
   
   
   


8. 
   

   Ruby/Go/Python: The CI/CD Triumvirate

   
   

   
   These three languages are like the three musketeers of GitLab CI/CD, ready to slice through any task with agility and finesse. Use Ruby for its scripting charm, Go for its concurrency swordplay, or Python for its scripting and automation guile. They’re the trusty sidekicks on your CI/CD quest, whichever be your chosen grail.
   

   
   script:
     - echo "All for one (codebase) and one for all (tasks)!"
   

   
   
   
   


9. 
   

   JUnit/NUnit: The Quality Crusaders

   
   

   
   When your code goes to battle, you'll want the assurance that it won't trip over the first bug. Enter JUnit for Java and NUnit for .NET – your trusty squires that ensure your code's mettle is proven through tests. Their detailed reports are like tales of valor, regaling the brave deeds of your code against the vile insurgents of buggery, all presented in neat, parsable XML scrolls.
   

   
   test:
     script:
       - ./gradlew test
     artifacts:
       reports:
         junit: output/*.xml
   

   
   
   
   


10. 
    

    SLF4J/Logback: The Chroniclers

    
    

    
    In the echoing halls of development, let not a single event pass unnoticed. SLF4J and Logback stand as the chroniclers, inscribing every deed and mishap into the annals of logs. Should your pipeline falter, turn to your logs as a source of ancient wisdom, recounting tales of what has passed to guide you on the path of debugging. After all, those who do not learn from their CI/CD history are doomed to redeploy it.
    

    
    job:
      script:
        - java -Dlogback.configurationFile=logback.xml -jar my-app.jar