Online Multi-modal Root Cause Identification in Microservice Systems

Understand

Root Cause Analysis (RCA) is essential for pinpointing the root causes of failures in microservice systems.

• Traditional data-driven RCA methods are typically limited to offline applications due to high computational demands, and existing online RCA methods handle only single-modal data, overlooking complex interactions in multi-modal systems.
• In this paper, we introduce OCEAN, a novel online multi-modal causal structure learning method for root cause localization.
• OCEAN employs a dilated convolutional neural network to capture long-term temporal dependencies and graph neural networks to learn causal relationships among system entities and key performance indicators.