Baidu Game Microservice Monitoring Practice: System Design and Evolution

Background: Rapid growth of game services led developers to maintain multiple microservices, exposing the need for efficient monitoring to quickly detect and resolve issues during holidays and high‑traffic periods.

Initial Exploration: Early monitoring relied on Argus, Monitor, and SIA platforms but suffered from fragmented coverage, lack of business integration, and slow problem localization.

Systematic Design: A comprehensive monitoring system was built, focusing on risk control, intelligent monitoring, smart alerting, and efficient fault localization. Risk control reduced over 95% of release issues; intelligent monitoring combined logs, metrics, and business data for anomaly detection; smart alerting introduced hierarchical, filtered, and auto‑escalating notifications; and trace‑based alerts enabled rapid pinpointing of root causes.

Evolution: Monitoring expanded to cover four quadrants, providing full‑scene coverage, multi‑dimensional visualization, and custom alert content. Tools such as Argus, SIA, and trace middleware were integrated to achieve low‑latency data indexing and automated alert routing.

Summary and Outlook: The systematic monitoring approach achieved timely detection, high coverage, and efficient issue resolution, while future work aims to automate fault handling and resource scaling for improved system maintainability and availability.