What do you consider when choosing CI/CD tools?

04 Tem 18:37

Different teams have different needs, so choosing a CI/CD tool is like picking a toolbox for a project—it all depends on what you're building. When I'm deciding on a CI/CD solution, I usually filter my options based on three main criteria: **ecosystem size, scalability, and ease of debugging**. For example, when working on microservices projects running on Kubernetes-managed clusters, I prefer GitLab CI. Why? Because you can natively deploy the CI/CD runners directly to your Kubernetes cluster, and you can manage cluster-specific changes in a single pipeline file—especially with `.gitlab-ci.yml`. This way, you can coordinate build/release processes and infrastructure changes within the same workflow, giving you a seamless "Integrated CI/CD" experience. Of course, the learning curve here is steep; concepts like `DAG` vs. `needs:` syntax can be confusing at first glance. But once you get the hang of it, you can set up pipelines in minutes—even for new projects—just by copying and pasting. For simpler, monolithic Node.js or Python projects, I switch to GitHub Actions. Why? Because the configuration file `.github/workflows/deploy.yml` can be set up in just a few lines, and plugins like `actions/checkout`, `docker/build-push-action`, or even cache plugins offered by VS Code can be added almost plug-and-play. Plus, GitHub’s secrets management lets you store credentials at the repo level and map them to environments—making it super easy to switch between staging and production credentials with just a click. Performance-wise, Actions’ global runners usually start jobs in 1-2 minutes, and with Docker layer caching, it feels almost like running things locally in your dev environment.

04 Tem 19:30

I prefer GitHub Actions whenever I need CI/CD in projects. It has nine native integrations with GitHub and lets you set up workflows quickly. I don’t have any special reason to switch to another tool either.