CI/CD pipelines - shipping safely, consistently, without fear
Automated testing, deployment workflows, preview environments, and rollback systems for teams that ship regularly and cannot afford manual deployment mistakes.
How we use it
We use GitHub Actions as our default CI/CD platform. Pipelines run TypeScript type checks, ESLint, unit tests, Lighthouse CI, and Docker image builds. Production deployments use blue-green or rolling strategies with automatic rollback on health check failure.
Best fit for
Elite engineering teams with mature CI/CD pipelines deploy 208 times more frequently and recover from incidents 2,604 times faster than low-performing teams (DORA State of DevOps 2024 Report). GitHub Actions now processes over 1 billion workflow runs per month. Despite the availability of these tools, most small and mid-sized engineering teams still deploy via manual SSH commands, FTP uploads, or clicking a button in a platform dashboard - creating compounding operational risk with every release. A single failed manual deployment that takes down production for an hour costs more in lost revenue and team time than a properly set-up CI/CD pipeline costs to build.
What's included
Capabilities
Deployment architecture & IaC (Terraform)
CI/CD pipeline setup & automation
Monitoring, alerting & observability
Backup, rollback & disaster recovery planning
Cost review & right-sizing
Fit analysis
Is this right for you?
Honest breakdown of where CI/CD Pipelines shines — and where it doesn't. Pick the right tool.
When to choose this
Right fit scenarios
Your team deploys manually and a single bad release has previously taken your site or application down or broken a critical user flow in production
You have multiple environments - development, staging, production - and need a reliable, repeatable way to promote code through each stage with automated checks at every gate
Your team ships more than once per week and manual deployment steps are creating bottlenecks, introducing human error, or generating deployment anxiety that slows down product velocity
You want automated type checks, lint enforcement, and test runs on every pull request - so broken code cannot be merged to main without failing the pipeline
You are growing your engineering team and need deployment processes that new developers can follow without needing institutional knowledge or direct access to production servers
When to choose this
Right fit scenarios
Your team deploys manually and a single bad release has previously taken your site or application down or broken a critical user flow in production
You have multiple environments - development, staging, production - and need a reliable, repeatable way to promote code through each stage with automated checks at every gate
Your team ships more than once per week and manual deployment steps are creating bottlenecks, introducing human error, or generating deployment anxiety that slows down product velocity
You want automated type checks, lint enforcement, and test runs on every pull request - so broken code cannot be merged to main without failing the pipeline
You are growing your engineering team and need deployment processes that new developers can follow without needing institutional knowledge or direct access to production servers
Honest limitations
Not the best fit if…
Solo developers shipping infrequently to a stable, simple application - the setup investment is not justified for monthly deployments
Static websites where Vercel or Netlify's Git integration already provides automatic deployments without a custom pipeline
Projects in early proof-of-concept phase where the codebase changes daily and automated tests do not yet exist
Teams that are not yet doing code review or version control discipline - CI/CD amplifies good processes but cannot substitute for them