Most startups either have no CI/CD pipeline or one that took two weeks to configure and breaks every other deploy. There is a middle ground, a startup CI/CD pipeline that is lean enough to maintain but robust enough to handle everything you need for the next 18 months.
We have set up deployment infrastructure for products serving 100K+ users. The pattern is the same every time: start simple, automate the painful parts, and only add complexity when the pain is real and measurable.
Here is the exact setup we use and recommend for every early stage product.
The Minimum Viable Pipeline
Your CI/CD pipeline needs to do exactly four things:
1. Run tests on every pull request
2. Build the application and catch compilation errors
3. Deploy automatically when code merges to main
4. Roll back quickly when something breaks
That is it. Not blue green deployments. Not canary releases. Not a Kubernetes cluster with Helm charts and ArgoCD. Four things.
If your pipeline does these four things reliably, you are ahead of 90% of startups. Most are still deploying by SSHing into a server and running `git pull`.
GitHub Actions + Vercel: The Stack That Just Works
For web applications, this is the only deployment infrastructure you need:
GitHub Actions for CI, running tests, linting, type checking. It is free for public repos and the free tier is generous for private ones. The YAML is not beautiful, but it works, and every engineer knows how to read it.
Vercel for CD, automatic preview deployments on every PR, production deploys on merge to main, instant rollbacks, edge network distribution, and zero configuration for Next.js apps. When we deployed Traderly's web platform, Vercel handled the deployment infrastructure while we focused on building the product. No Dockerfiles. No Nginx configs. No load balancer tuning.
Supabase for the database layer, managed PostgreSQL with automated backups, branching for preview environments, and migrations that run as part of your deploy pipeline.
This stack gets you from push to production in under 3 minutes. It costs under $50/month for most startups. And it scales to hundreds of thousands of users without changing a single config file.
What to Automate First
Do not try to automate everything on day one. Start with the things that hurt most when done manually:
Type checking and linting. TypeScript catches entire categories of bugs at compile time. ESLint catches the rest. If these run on every PR, you eliminate 80% of "it works on my machine" issues.
Tests that matter. Not 100% code coverage, that is a vanity metric. Write tests for payment flows, authentication, data mutations, and anything where a bug costs you money or users. Skip tests for UI layout, copy changes, and CRUD endpoints with no business logic. Testing for GameLootBoxes focused entirely on the provably fair algorithm and payment processing, the two things that absolutely could not break. Everything else was covered by TypeScript and manual QA.
Preview deployments. Every PR should generate a live URL. Designers review without running code locally, QA tests without setting up a dev environment, stakeholders see progress without scheduling a demo. Vercel does this automatically. It is the highest ROI automation you will set up.
Database Migrations: The Part Everyone Forgets
Your CI/CD pipeline is only as good as your database migration strategy. Code deploys in seconds. A bad migration can lock your production database for minutes.
Rules we follow on every project:
- Every schema change is a migration file. No manual ALTER TABLE in production. Ever.
- Migrations must be backward compatible. Old code and new code should both work with the new schema during the deploy window. Add columns before using them. Remove usage before removing columns.
- Test migrations against production sized data. A migration that takes 50ms on your dev database with 100 rows might take 10 minutes on production with 5 million rows. Use `CREATE INDEX CONCURRENTLY`. Add columns as nullable first, backfill, then add constraints.
This is where most startups get burned. Not the CI/CD pipeline itself, the database decisions that run alongside it. Bad ones often force a rebuild vs refactor decision later.
Monitoring: Know If Your Deploy Worked
Deploying without monitoring is driving with your eyes closed. You will find out something went wrong, just not on your terms.
The minimum monitoring stack:
- Error tracking (Sentry): captures every unhandled exception with full stack traces, user context, and the deploy that introduced it. Set up Slack alerts for new errors.
- Uptime monitoring (Vercel Analytics or Checkly): pings your critical endpoints every minute. Alerts you before users notice.
- Core Web Vitals (Vercel Speed Insights): tracks real user performance metrics. Catches performance regressions that tests miss.
Set these up before your first production deploy. Not after. The pattern we have seen repeatedly: startup deploys, something breaks, no one notices for 6 hours, users churn. A $0-20/month monitoring stack prevents this entirely.
When to Level Up
You do not need Kubernetes. You do not need Terraform. You do not need a dedicated DevOps engineer. Not yet.
You need those things when:
- Multiple services need independent deployment schedules
- Compliance requirements demand infrastructure as code audit trails (SOC 2, HIPAA)
- Traffic patterns require auto scaling beyond what your platform provides
- Your team is large enough (10+ engineers) that deployment coordination becomes a bottleneck
For most startups, that is 12-24 months after launch. Until then, the lean stack saves you weeks of configuration and thousands in infrastructure costs. When the time comes to level up, proper cloud and DevOps engineering pays for itself, migrating from simple to scalable without breaking what already works.
Ship Code, Not Config Files
Your CI/CD pipeline should take an afternoon to set up, not a sprint. If it is more complicated than push → test → deploy → monitor, you are over engineering it.
Start with GitHub Actions, Vercel, and basic monitoring. Get it running today. Add complexity only when you have outgrown it, you will know because the pain will be specific and measurable, not theoretical.