How Qovery uses Qovery to speed up its AI project

Qovery is utilizing its own platform to accelerate the development of its new AI initiative, the AI DevOps Copilot, which aims to transform developer interactions with infrastructure by resolving operational challenges and enabling focus on strategic tasks. The initiative is led by an AI expert skilled in Large Language Models and data science, who, despite lacking infrastructure expertise, efficiently integrated the AI stack into Qovery without needing to manage CI/CD pipelines, Kubernetes configurations, or deployment management. By employing Qovery’s Helm deployment system and Terraform integration, the team automated complex processes such as deploying vector databases, enabling autoscaling with KEDA, and managing object storage. This allowed the AI lead to autonomously deploy a production-grade system in a single day, complete with features like automatic rollbacks, deterministic builds, and real-time monitoring. The success of this initiative underscores Qovery's philosophy that infrastructure should serve as a lever for innovation, demonstrating the platform's capacity to empower developers and maintain DevOps reliability.

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