A microservice system in industry is usually a large-scale distributed system consisting of
dozens to thousands of services running in different machines. An anomaly of the system …

In microservice systems, the identification of root causes of anomalies is imperative for
service reliability and business impact. This process is typically divided into two phases:(i) …

Root cause analysis (RCA) in large-scale microservice systems is a critical and challenging
task. To understand and localize root causes of unexpected faults, modern observability …

Modern microservice systems have gained widespread adoption due to their high
scalability, flexibility, and extensibility. However, the characteristics of independent …

Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of
microservice systems. However, performing RCA on modern microservice systems can be …

Automatic failure diagnosis is crucial for large microservice systems. Currently, most failure
diagnosis methods rely solely on single-modal data (ie, using either metrics, logs, or traces) …

Intensive monitoring and anomaly diagnosis have become a knotty problem for modern
microservice architecture due to the dynamics of service dependency. While most previous …

Detecting failures and identifying their root causes promptly and accurately is crucial for
ensuring the availability of microservice systems. A typical failure troubleshooting pipeline …

Today many web applications in the cloud (apps) are built based on microservices.
However, as the anomaly propagates in a highly dynamic and complex way, troubleshooting …

This study demonstrates the salient facts and challenges of host failure operations in
hyperscale data centers. A host incident can involve hundreds of distinct host-level metrics …