CI/CD and DevOps

When deploying is frightening, you deploy rarely; when you deploy rarely, each release carries three months of change, and that is precisely what breaks. Getting out of that loop is mechanical: automate until publishing takes one command. For us, a release starts from a command line, runs the tests, builds the image, deploys it, and rolling back means redeploying the previous version. What that produces, measured over the last thirty days: around 150 production releases a day across 65 projects, with no meeting and no deployment window. That is the pipeline we set up for our clients.

What you get

Deliverables

• check_circleThe build and deployment pipeline in place, triggered automatically
• check_circleSeparate environments: development, staging, production
• check_circleThe release and rollback procedure, on a single page
• check_circleThe history of deployed versions, with what each one contained

Frequently asked questions

We have no tests. Is that a blocker?

No. We install the pipeline first, then add tests on whatever breaks most often — usually calculations and business rules. Waiting for full coverage before automating means never starting.

Kubernetes?

Rarely justified below a certain scale. We run dozens of applications in production on much simpler orchestration that two people can understand entirely. Choosing a tool you do not master moves the risk, it does not reduce it.

Will you work on an existing pipeline?

Yes. GitHub Actions, GitLab CI, Jenkins: the principle is the same. We take over what exists, make it reliable, and only replace it if maintaining it costs more than rebuilding it.