Regal Swiss established a comprehensive DevOps pipeline for a pre-launch learning platform, emphasizing automation and reliability. Using Jenkins and Docker, we configured CI/CD workflows for code integration, automated testing, and deployment to staging environments. Key elements included infrastructure as code with Terraform for cloud provisioning and monitoring with Prometheus for performance insights. We incorporated security scans and rollback mechanisms for safe iterations. This setup supports rapid feature releases, aligning with agile development in edtech. By automating processes, it minimizes errors and downtime, enabling the startup to iterate quickly on AI features and user feedback. Ideal for dynamic platforms, our solution fosters efficient scaling and collaboration, positioning the platform for a successful launch with robust operational foundations.
Futura Valley
Jenkins, Docker, Terraform, Prometheus, SonarQube, GitHub Actions
Project duration not specified
Regal Swiss development team
Automating tests for AI-dependent educational features
Managing multi-environment deployments pre-launch
Integrating security checks without slowing pipelines
Handling team collaboration in distributed DevOps setups
Set up Jenkins for orchestrated CI/CD automation
Applied Terraform for consistent infrastructure management
Embedded SonarQube for code quality and security scans
Used GitHub Actions for collaborative workflow triggers
Accelerated release cycles by 65%, aiding pre-launch agility
Reduced deployment errors by 55% through automation
Enhanced team productivity with streamlined processes
Improved system monitoring, preventing potential issues