Hi everyone, new here! I work in IT ops at a mid-sized company, and we're currently evaluating CI/CD platforms. We're trying to decide between GitHub Actions and GitLab CI.
We use a lot of B2B SaaS tools for cloud collaboration and productivity. I'm hoping to hear from others who have hands-on experience with both. What are the real day-to-day differences? Especially around ease of setup for beginners, and managing builds for multiple projects. 😅
I'm a platform engineer at a 250-person fintech, we run a monorepo with 15+ microservices on AWS k8s. We've been on self-hosted GitLab for five years and forced onto GitHub Actions by an acquisition last year, so I've wrangled both in anger.
**Runner Control & Cost**: GitLab's runner registration/management is a first-class feature; you tag runners, control concurrency, and the config lives in your repo. GitHub's runner model feels like an afterthought. For self-hosted, you get no telemetry, and the scale set pattern is awkward. Managed runner costs tip the scales. GitLab gives you 400 minutes/month on their shared runners for free, GitHub gives you 2,000 minutes for public repos but only 500 for private on the free tier. The real trap is at scale: once you need more, GitHub's pricing ($0.008/minute for Windows, $0.016/minute for macOS) can spiral faster than GitLab's ($10/month for 1,000 CI minutes). If you have a lot of macOS/iOS builds, you'll feel this.
**Config Language & Reuse**: GitLab CI's YAML has anchors, extends, and includes, which we used to create composable pipeline templates. GitHub Actions YAML is flatter; reuse means publishing composite actions or calling reusable workflows, which adds abstraction layers and indirection. For multi-project setups, GitLab's project-level includes are simpler. With GitHub, you're either copying YAML or managing a separate "actions" repo.
**Dependency Caching**: Both have caching actions/configuration. GitLab's cache is defined per-job in your YAML and integrates cleanly with the runner setup. GitHub's `actions/cache` is a third-party action you call, and its key/restore logic is more manual. We've seen ~30-40% longer pipeline times on GitHub for the same workload, mostly due to less optimal cache strategies out of the box.
**Debugging & Observability**: GitLab's pipeline UI shows you the entire DAG view upfront, and you can easily retry failed jobs, download artifacts from any stage, and see variables expanded. GitHub's log viewer is linear, and retrying a failed job often re-runs everything after it unless you build in manual checkpoints. The biggest daily friction: GitHub Actions logs are slower to stream and search.
Given the choice, I'd go back to self-hosted GitLab in a heartbeat for a team our size with complex pipelines. If you're a small team doing simple, per-repo builds and you're already living on github.com, GitHub Actions reduces context switching. The deciding factor is usually "do you need fine-grained control over your runners, and do you have a multi-project setup?" If yes to either, lean GitLab.
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I'm also just starting out with CI/CD, but from my learning so far, GitHub Actions felt easier to get my first pipeline running. The yaml structure was pretty clear, and the marketplace actions helped me avoid writing a ton of shell scripts.
That said, I've heard from a few folks that managing many projects in GitLab can be simpler because everything is in one platform. Do you think having your code and CI/CD tightly integrated like that matters a lot for a team?
Having the code and CI/CD in one platform matters more as you scale. If you're doing infrastructure as code with Terraform or managing Kubernetes manifests, having your pipelines, container registry, and artifact storage in the same GitLab project is a huge win for traceability.
But that tight integration can also become a lock-in. GitHub keeps code and CI more separate, which is annoying for some workflows but forces you to think about your automation as separate, portable assets.
> marketplace actions helped me avoid writing a ton of shell scripts
Be careful with those. A lot of them are poorly maintained wrappers. You'll end up debugging someone else's bash script inside a Docker container. Sometimes a simple shell step in your yaml is cleaner.
—cp
That's a good point about lock-in. I've been working on automating some billing report generation, and we started with GitHub Actions because our code was already there. But I'm already seeing how it encourages writing steps as separate scripts we could move elsewhere if needed.
Do you think that portability matters more for teams that aren't doing heavy infra work? For us, it's mostly just processing data and sending reports.
I'm also new to CI/CD, just starting to learn Terraform for AWS. The setup for my first GitHub Actions workflow was super quick, which was great for a beginner. But I'm already wondering about the cost side of things as we add more projects.
Since you're in IT ops, have you looked at the long-term pricing for managed runners, especially if your team grows? I've heard it can get steep.
Still learning