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Git Advanced: Monorepo, Submodules & Workflows · Aula

GitLab Flow e gerenciamento de versões

Explore o GitLab Flow, com foco na integração com CI/CD e em práticas eficientes de gerenciamento de versões.

GitLab Flow e gerenciamento de versões é uma aula grátis de Git Advanced: Monorepo, Submodules & Workflows no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Git Advanced: Monorepo, Submodules & Workflows, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Git Advanced: Monorepo, Submodules & Workflows inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

What is GitLab Flow?

The GitLab Flow is a streamlined Git workflow that combines feature-driven development with release management and CI/CD integration.

It's designed to be simple, effective, and to work seamlessly with GitLab's built-in features like Merge Requests and pipelines.

Main Branch & Environments

At its heart, GitLab Flow uses a single main branch (often named main or master) as the source of truth.

  • Feature branches: All new work happens here.
  • Environment branches: Dedicated branches (e.g., pre-production, production) track deployed code.
  • CI/CD: Heavily integrated to automate testing and deployments.

Developing New Features

When starting new work, you'll create a feature branch directly from the main branch. This keeps your main branch stable.

Naming conventions are key, like feature/add-user-profile or bugfix/fix-login-error.

Here's how you might start a new feature:

git checkout main
git pull origin main
git checkout -b feature/new-dashboard

Code Review with MRs

Once your feature is complete on its branch, you open a Merge Request (MR) to merge it back into main.

MRs are central to GitLab Flow:

  • They trigger CI/CD pipelines for testing.
  • They facilitate code review by your teammates.
  • They track discussions and approvals.

Deploying to Staging

After a feature branch is merged into main, the main branch itself is often deployed to a staging environment automatically by CI/CD.

This allows for final testing in an environment that closely mirrors production before the code goes live.

The main branch is always deployable.

The Production Branch

For production deployments, GitLab Flow often uses a dedicated production branch. This branch only contains code that has been successfully deployed to the live environment.

When main is ready for production, you merge main into production, which triggers a production deployment.

git checkout production
git pull origin production
git merge main
git push origin production

Marking Releases with Tags

When a deployment to production is successful, it's good practice to create a Git tag on the production branch.

Tags act as permanent markers for specific release versions (e.g., v1.0.0, v1.0.1). They help you easily refer back to a released state.

git checkout production
git tag -a v1.0.0 -m "Release version 1.0.0"
git push origin v1.0.0

Handling Hotfixes

If a critical bug is found in production, a hotfix is needed. In GitLab Flow, hotfixes are typically handled by creating a branch directly from the production branch.

Once fixed, it's merged back into production (triggering redeploy) and then also merged into main to ensure main is up-to-date.

CI/CD at its Core

The true power of GitLab Flow comes from its tight integration with CI/CD pipelines.

  • Automated Tests: Every push to a feature branch runs tests.
  • Deployment Automation: Merges to main or production can automatically deploy.
  • Quality Gates: Pipelines can prevent merges if tests fail or code quality is low.

GitLab Flow Check

Consider the typical structure of GitLab Flow.

Recap: GitLab Flow

You've explored the GitLab Flow, a robust workflow for continuous integration and delivery.

  • It uses a stable main branch.
  • Feature development happens on separate branches.
  • Merge Requests drive code review and CI/CD.
  • Dedicated environment branches (like production) ensure smooth releases.
  • Hotfixes are handled by branching from production.

This flow is ideal for teams leveraging GitLab's full suite of features.

Perguntas Frequentes

A aula “GitLab Flow e gerenciamento de versões” é grátis?

Sim — o texto completo de “GitLab Flow e gerenciamento de versões” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Git Advanced: Monorepo, Submodules & Workflows, atualize para CoddyKit PRO. O curso de Git Advanced: Monorepo, Submodules & Workflows inclui 4 aulas no total.

O que vou aprender em “GitLab Flow e gerenciamento de versões”?

Explore o GitLab Flow, com foco na integração com CI/CD e em práticas eficientes de gerenciamento de versões. Você pratica Git Advanced: Monorepo, Submodules & Workflows com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Git Advanced: Monorepo, Submodules & Workflows?

Nenhuma experiência prévia é necessária. Git Advanced: Monorepo, Submodules & Workflows no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.

Quanto tempo leva a aula “GitLab Flow e gerenciamento de versões”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Git Advanced: Monorepo, Submodules & Workflows?

Sim. Cada aula de Git Advanced: Monorepo, Submodules & Workflows inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.

Todas as aulas deste curso

  1. Git Flow versus GitHub Flow
  2. GitLab Flow e gerenciamento de versões
  3. Ramificações de funcionalidades e correções urgentes
  4. Desenvolvimento baseado no trunk e integração contínua
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