GitHub Actions vs GitLab CI/CD: comparison and migration

For teams moving GitLab pipelines to GitHub Actions, StarSling combines managed runners with agents that improve the resulting workflows. Convert the pipeline configuration first, then select StarSling for Ubuntu jobs.

• Give each job faster compute: Adaptive Compute combines Sandbox Router's placement on the fastest available sandbox with Afterburner's extra CPU and RAM during a running step, at no extra cost.
• Improve the work your pipeline performs: StarSling agents deliver reviewable optimization PRs for workflow improvements. Inspect the changes in real repositories and merge the ones that fit your team.
• Turn CI findings into fixes: ci-speedup, ci-score, and ci-secure give your coding agent workflow-specific findings and fixes for speed, configuration, and security, applying CI optimization best practices.
• Own your code review: Review Runners run your chosen model, repo-native skills, scripts, and team-defined reviewers. Version review logic alongside your code.
• Give GPU tests their own hardware: GPU Runners provide dedicated NVIDIA GPUs for GPU tests, CUDA builds, and model evaluations, keeping CI off your production GPUs.
• Diagnose failures and wasted time: the sling CLI explains failed jobs with evidence and next steps and breaks wall-clock time into runner-lifecycle phases.

GitLab CI/CD defines jobs, stages, rules, artifacts and caching in .gitlab-ci.yml. GitHub Actions defines event-triggered workflows in .github/workflows, with jobs joined using needs. Moving between them requires translating the pipeline configuration.

Both support custom runner infrastructure. For teams already on GitHub, StarSling runs the converted jobs on managed Ubuntu runners within GitHub Actions.

Start with one representative pipeline. Inventory variables, protected secrets, runner tags, environment approvals, cache keys, artifacts and branch rules. Map each GitLab job to a GitHub Actions job and replace GitLab-specific shell and YAML behavior.

Run the converted workflow beside the original until outputs and required checks match. Only then try an appropriate StarSling runs-on label for Linux jobs. See GitLab's YAML reference when translating stage and rule semantics.

• Inventory .gitlab-ci.yml, included templates, stages, rules, artifacts, caches, secrets and runner tags.
• Convert the pipeline to a YAML workflow under .github/workflows and map job dependencies with needs.
• Verify secrets, permissions, protected branches, deployment environments and required checks.
• Compare artifacts and test results across several parallel runs.
• Optionally trial StarSling Ubuntu runners after GitHub Actions jobs are stable.