Question 1

Gitlab vs github — both do git, what's actually different?

Accepted Answer

The "both do git" framing is accurate but undersells how different the two platforms are in terms of scope and philosophy, and the right choice between them depends more on what kind of engineering organization you're building than on which has better git functionality.

Git is the underlying version control system, and both GitHub and GitLab use it as the foundation. Where they differ is in how far each platform extends beyond repository hosting. GitHub historically focused on being the best place to host code and collaborate on it, with a strong ecosystem built around pull requests, code review, and open-source community features. GitLab's founding thesis was different: build an integrated DevOps platform where the entire software delivery lifecycle — from writing code to deploying it to monitoring it in production — happens in one application rather than across a collection of separate tools.

That difference in philosophy is visible in what each platform includes by default. GitLab ships with a CI/CD system, container registry, package registry, security scanning tools, release management, infrastructure management features, and a built-in deployment pipeline as part of the core product. GitHub has added many of these capabilities over time (GitHub Actions for CI/CD, GitHub Packages for registry, GitHub Advanced Security for scanning), but its ecosystem is historically more oriented toward integrations with best-of-breed external tools rather than everything being native. GitLab's value proposition is that you can manage the entire workflow without needing to integrate and maintain multiple separate tools.

For open-source projects and developer communities, GitHub has a significant network effect advantage. The vast majority of open-source projects live on GitHub, which means contributors, forks, stars, and community discussions are concentrated there. If you're building something open-source or expect external contributors, GitHub's community infrastructure is meaningfully better.

For private enterprise software development, particularly in organizations that prioritize security, on-premises or self-hosted deployment, and a single-platform DevSecOps approach, GitLab has historically been stronger. GitLab offers a self-managed deployment option that lets organizations run GitLab on their own infrastructure, which matters in regulated industries or environments with strict data residency requirements. GitHub offers GitHub Enterprise, including a self-hosted server option, but GitLab's self-managed offering has been around longer and tends to have more configuration options.

Pricing structure differs as well, and this becomes relevant for larger teams. GitLab's free tier is relatively generous in terms of CI/CD minutes and features compared to some GitHub plan configurations, though the comparison shifts depending on team size and which specific features matter to you. Both platforms have grown their enterprise offerings significantly, so the gap has narrowed from where it stood a few years ago.

If your team is already heavily invested in the GitHub ecosystem — using GitHub Actions, GitHub Packages, and integrations with tools that natively support GitHub — switching has real migration cost. If you're building a new engineering organization from scratch and want to minimize the number of vendor relationships for your delivery pipeline, GitLab's integrated approach may simplify your stack.

Question 2

How does gitlab CI/CD actually work and how hard is it to set up?

Accepted Answer

GitLab CI/CD is one of the more useful parts of the platform once you understand its structure, and the setup complexity depends significantly on what you're trying to accomplish and your starting point.

The core concept is a pipeline defined in a file called `.gitlab-ci.yml` that lives in the root of your repository. This file contains instructions for what should happen when code is pushed — what commands to run, in what order, and under what conditions. GitLab reads this file automatically and executes the pipeline on every push, merge request, or tag depending on how the rules are configured. There is no separate configuration interface to navigate for the basic case; the pipeline lives in the repository alongside the code it builds.

A pipeline in GitLab is organized into stages, which run sequentially, and jobs, which run within stages and can run in parallel if you have multiple runners available. A common basic pipeline has three stages: a test stage that runs your test suite, a build stage that compiles or packages the application, and a deploy stage that pushes the result to wherever it needs to go. Each job specifies the commands to run and the Docker image to run them in, which means you can run your tests in an environment that matches your production dependencies without installing anything on the GitLab infrastructure itself.

GitLab Runners are the compute agents that execute jobs. GitLab provides shared runners on its cloud platform that you can use without any infrastructure setup, and on most tiers you receive a monthly allocation of CI/CD minutes to use against those shared runners. For organizations that need more compute, more control over the environment, or want to keep builds entirely within their own infrastructure, you can register your own runners — either on servers you manage, on Kubernetes, or on cloud VMs — and those run your jobs without consuming the shared quota.

The difficulty level scales with what you're building. A pipeline that runs a test suite and deploys to a single environment is achievable in an afternoon with no prior GitLab CI/CD experience, particularly because GitLab includes a template library for common stacks (Node.js, Python, Go, Docker, Kubernetes, and many others) that gives you a working starting point rather than a blank file. More complex configurations — multiple deployment environments with manual approval gates, matrix testing across multiple runtime versions, dynamic child pipelines, integration with external secrets managers, or multi-project pipeline dependencies — require meaningful investment to set up correctly and need more familiarity with the `.gitlab-ci.yml` schema.

The documentation GitLab provides for its CI/CD system is complete and the keyword reference is well-maintained, which helps when you're troubleshooting a configuration that isn't behaving as expected. The most common initial stumbling point is getting the runner configuration right, particularly for self-managed deployments where network access and Docker permissions need to be set up correctly before the pipeline can execute successfully.

Gitlab discussions

Discussions

Gitlab vs github — both do git, what's actually different?

How does gitlab CI/CD actually work and how hard is it to set up?