- automatic code checking, - running tests, - assembling artifacts, - laying out on staging/production, - rollbacks and monitoring after release.
This allows you to deploy updates without failures, manually and at any time, regardless of load and team composition.
What our CI/CD process involves
| Stage | What's going on |
|---|---|
| Code check & lint | Code Style Validation, Formatting, Static Analysis |
| Unit & integration tests | Running Tests and Testing Stability |
| Assembling artifacts | Formation of Docker images, builds, dependencies |
| Deploy | Auto-laying on staging or production by git trigger or schedule |
| Rollback | Rollback on error or alert |
| Monitoring | Logging and alerts after release via Prometheus/Datadog/Sentry |
Tools used
GitHub Actions, GitLab CI/CD, Bitbucket Pipelines
Docker, Kubernetes, Helm
AWS, GCP, DigitalOcean, Cloudflare Pages
Prometheus, Grafana, Sentry, Datadog
Terraform and Ansible for Infrastructure as Code
Business benefits
Fast time-to-market: releases in minutes, not days
Fewer human errors
Easy re-deployment and scaling
Support for multiple environments (dev, staging, prod)
Rollback and rollout capability (canary, blue/green)
Where especially important
Products with frequent releases and updates
APIs in critical areas (finance, logistics, e-commerce)
Commands Running in a Distributed Environment
Architectures with microservices and multiple dependencies
CI/CD is the heart of modern API integration. We will introduce a pipeline that will provide fast delivery, testing and dumping without risk - from the first commit to production.