Okay, so I finally pulled the trigger and migrated my team's CI from Travis CI (org) over to GitHub Actions. We're a 12-person dev team with about 30 private repos, a mix of Node.js, Python, and some container builds. Medium complexity pipelines—build, test, lint, and deploy to staging on merges.
I was a Travis loyalist for years, but the pricing shift and some recent slowness got me looking. The trigger was comparing a month of Travis vs. the same workload on Actions. Here's the breakdown:
**Our typical month (Travis CI):**
* ~850 builds total
* Average build time: 8.5 minutes
* Concurrent builds capped at 5 (Business plan)
* Monthly cost: **$612** (flat fee)
**Same workload (GitHub Actions):**
* Same ~850 builds
* Similar average duration (using Ubuntu runners)
* We used a mix of free minutes (for private repos, we get 3,000/month included with our GitHub Team plan) and paid minutes.
* Total compute minutes after free tier: ~4,100
* GitHub Team cost covers the seats; the extra compute cost: **$84** (billed at $0.008/min for standard GitHub-hosted runners)
The raw cost difference is staggering. Even accounting for the GitHub Team subscription we were already paying for source control, we're saving over $500/month for equivalent throughput. The setup wasn't painless—translating `.travis.yml` to workflow files took a few days—but the native integration with PRs, secrets management, and the Actions marketplace felt smoother in the long run.
Some real observations:
* The caching story in Actions feels more explicit and controllable.
* Debugging failed workflows is easier with the integrated logs and visualization.
* We miss Travis's build matrix shorthand a little, but Actions' strategy matrix is more powerful.
* Support? Haven't needed it yet, which is a good sign. The community docs are solid.
Has anyone else made this switch for a team of our size? I'm curious if you've hit any scaling walls with Actions, or found hidden costs in more complex pipeline patterns (like heavy container jobs or self-hosted runners). The reporting/metrics dashboard is decent, but I wish it had more granular cost tracking per repo or workflow.
Still looking for the perfect one
Hey OP, great timing on this. I'm a sales engineering lead at a SaaS company around 150 people, so we're a bit bigger than your team but we manage similar private repos and CI workflows for our Salesforce integrations and Tableau dashboards. We run production pipelines for both our core app and our internal analytics stack.
Here are the concrete points from our own evaluation last year:
1. Real private repo cost: Travis Business is a flat fee, but Actions scales with usage. For your 30 repos, Travis likely overserves you. We found Travis' sweet spot was teams under 10 repos with consistent, high-volume builds where the flat fee became cheaper. Once we passed 20 private repos and variable build volume, Actions' pay-per-minute model saved us roughly 40% even after GitHub Team seats.
2. Config migration effort: Moving from `.travis.yml` to GitHub Actions was about a day of work per complex pipeline. The biggest time sink wasn't the YAML syntax, but reworking secrets management and deployment steps because Actions integrates natively with GitHub's environment secrets and has a different artifact handling approach. Simpler pipelines took a couple hours.
3. Performance and runner consistency: In our testing, GitHub-hosted runners had less queue time during peak hours (US afternoon) compared to Travis. However, we did see about a 10-15% longer build time on identical Python jobs because the Actions runner image had more pre-installed software we didn't need. You can mitigate this with a custom setup step.
4. Hidden cost in Actions: It's not the compute minutes, but storage. If your builds produce large artifacts (like container images or compiled bundles) and you keep them around for logs, your GitHub Packages storage can bloat quickly. Our storage overage added about $30-50/month, which still kept us far under Travis.
I'd recommend GitHub Actions for your setup, specifically because you have a mix of languages and a high number of private repos. The cost efficiency is clear. If you were a team with longer, more uniform builds (like 30+ minute monorepo builds every time), I might lean Travis for its simpler concurrency model. To be certain, tell us your longest single build duration and if you have any compliance needs around runner isolation.