Deutsch

CI/CD & DevOps Automation

Transformation of manual release processes into fully automated pipelines using Docker and Kubernetes.

  • GitHub Actions
  • GitLab CI
  • Docker
  • Kubernetes

The Challenge

Before introducing DevOps practices, deployments were often characterized by manual steps ("copy-paste deployment"), inconsistencies between development and production environments ("it works on my machine"), and long downtimes. This led to slow release cycles and frustration within the development team.

The Solution

Implementation of a strict "Infrastructure as Code" (IaC) strategy and containerization of all services.

Stack Analysis

  • Containerization: Packaging all applications in Docker containers to guarantee identical runtime environments across all stages (Dev/Test/Prod).
  • Orchestration: Using Kubernetes for resilience, load balancing, and rolling updates.
  • Pipeline: Definition of multi-stage pipelines in GitHub Actions and GitLab CI.

Key Features

  • Automated Testing: No code reaches the master branch without passing unit and integration tests.
  • Preview Environments: Automatic creation of temporary test environments for every Pull Request.
  • Blue-Green Deployment: New versions are deployed alongside old ones; the traffic switch happens only after a successful health check.

The Result

Deployment time was reduced from hours to minutes. The error rate for releases dropped to near zero. Developers can now focus on feature development instead of manually configuring servers.