Git Advanced: Monorepo, Submodules & Workflows · Pelajaran

GitLab Flow dan Manajemen Rilis

Pelajari GitLab Flow dengan berfokus pada integrasinya dengan integrasi berkelanjutan/pengiriman berkelanjutan (CI/CD) dan praktik manajemen rilis yang efisien.

Pelajaran 2 dari 411 langkah

GitLab Flow dan Manajemen Rilis adalah pelajaran Git Advanced: Monorepo, Submodules & Workflows gratis di CoddyKit. Ini adalah pelajaran 2 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Git Advanced: Monorepo, Submodules & Workflows, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Git Advanced: Monorepo, Submodules & Workflows mencakup 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

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.

Gratis untuk memulai

Belajar Git Advanced: Monorepo, Submodules & Workflows dengan tutor AI — gratis

Tulis dan jalankan kode asli di browser kamu, dapatkan bantuan instan dari tutor AI 24/7, dan lanjutkan di mana kamu tinggalkan di web atau aplikasi.

Kursus
12
Pelajaran
48

Pertanyaan yang Sering Diajukan

Apakah pelajaran “GitLab Flow dan Manajemen Rilis” gratis?

Ya — teks lengkap “GitLab Flow dan Manajemen Rilis” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Git Advanced: Monorepo, Submodules & Workflows, upgrade ke CoddyKit PRO. Kursus Git Advanced: Monorepo, Submodules & Workflows mencakup 4 pelajaran total.

Apa yang akan aku pelajari di “GitLab Flow dan Manajemen Rilis”?

Pelajari GitLab Flow dengan berfokus pada integrasinya dengan integrasi berkelanjutan/pengiriman berkelanjutan (CI/CD) dan praktik manajemen rilis yang efisien. Kamu berlatih Git Advanced: Monorepo, Submodules & Workflows dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.

Apakah aku perlu pengalaman untuk memulai Git Advanced: Monorepo, Submodules & Workflows?

Tidak diperlukan pengalaman sebelumnya. Git Advanced: Monorepo, Submodules & Workflows di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 2 dari 4.

Berapa lama pelajaran “GitLab Flow dan Manajemen Rilis” memakan waktu?

Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.

Bisakah aku menulis dan menjalankan kode dalam pelajaran Git Advanced: Monorepo, Submodules & Workflows ini?

Ya. Setiap pelajaran Git Advanced: Monorepo, Submodules & Workflows menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.

Semua pelajaran dalam kursus ini

  1. Git Flow vs. GitHub Flow
  2. GitLab Flow dan Manajemen Rilis
  3. Percabangan Fitur dan Perbaikan Mendesak
  4. Pengembangan Berbasis Trunk dan Integrasi Berkelanjutan
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