At one client every new software release was an event: 40 minutes of manual steps, one person who "knows how" and frequent errors after deployment. So releases were rare, and changes were big and risky.
The problem
- deploys took about 40 minutes,
- steps were manual and differed from person to person,
- tests were run manually, when someone remembered,
- rolling back was slow and stressful.
Our approach
- A GitLab CI pipeline with parallel stages: build, tests and checks run simultaneously.
- Automated tests before merge: code that fails tests cannot reach the main branch.
- Docker containers: the same environment on laptops, test and production, configured through environment variables.
- Ansible for infrastructure: servers configured as code.
- Health checks and automatic rollback: if a new version misbehaves, the previous one comes back by itself.
Results
- average deploy: about 3 minutes,
- several releases a day instead of one a week,
- fewer post-release incidents and faster recovery.
Value for the client
Less risk, faster bug fixes and a team focused on features instead of procedures. We apply the same principle, removing manual steps and measuring, to business processes through business process improvement.
If your team spends hours on releases, send an inquiry.
Frequently asked questions
Is DevOps worth it for small teams?
Yes. Small teams lose the most to manual steps. A basic CI/CD pipeline takes days to set up and pays back in the first month.
What is automatic rollback?
A mechanism that automatically restores the previous version when a new release fails its health checks, without manual intervention.
Tell us what slows you down
We reply within one business day. The first call and the estimate are free.
Send inquiry
