Case Study: Tencent streamlines infrastructure monitoring with SurrealDB

Streamlining infrastructure monitoring

Tencent, a major technology company operating internet-scale cloud and infrastructure services, faced significant challenges with a fragmented infrastructure monitoring stack. The company was using nine different tools, including Elasticsearch, MongoDB, and Dgraph, forcing engineers to first choose the correct system before even beginning an analysis. This complex patchwork of databases and processing layers created operational overhead and slowed down the critical process of real-time incident response and deep system visibility.

By implementing SurrealDB as a unified multi-model database, Tencent consolidated its entire toolchain into a single, scalable platform. The solution leveraged SurrealDB's native graph capabilities to model infrastructure components and their relationships, enabling fast traversal for root cause analysis. The results were substantial: the stack was simplified from nine tools to one, reducing latency and operational burden. The system now handles millions of logs per day and supports over 10,000 queries per second, providing real-time alerts and a unified data layer for much faster incident response.

Tencent