Case Study: Qovery achieves real-time DevOps automation with Qdrant

Qovery scales to 100,000+ vectors with Qdrant

Qovery, a DevOps automation platform trusted by over 200 companies, sought to enhance developer autonomy by building an AI-powered DevOps Copilot. The challenge was to reduce reliance on specialized DevOps engineers by enabling developers to manage infrastructure through natural language, which required a highly accurate and scalable vector database to handle their large, continuously growing dataset. They selected Qdrant Cloud to serve as the backbone for this solution.

The solution implemented by Qdrant provided a seamless integration with minimal operational overhead, enabling real-time indexing and low-latency queries. This allowed Qovery to rapidly scale their capabilities, reducing infrastructure-related tasks from hours or days to seconds. Managing over 100,000 vectors and scaling towards 500,000, Qdrant delivered the performance and stability that empowered Qovery to accelerate innovation and improve the developer experience for their customers.

Qovery