The rapid advancement of Artificial Intelligence (AI) has led to its integration into various
areas, especially with Large Language Models (LLMs) significantly enhancing capabilities …

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 …

Log data is a crucial resource for recording system events and states during system
execution. However, as systems grow in scale, log data generation has become increasingly …

In large-scale online service systems, the occurrence of software changes is inevitable and
frequent. Despite rigorous pre-deployment testing practices, the presence of defective …

Logs are imperative in the maintenance of online service systems, which often encompass
important information for effective failure mitigation. While existing anomaly detection …

In online service systems, software changes cause a majority of incidents (ie, unplanned
interruptions and outages). Managing change-induced incidents efficiently is crucial for …

Atomic commit protocols (ACPs) are crucial for ensuring transaction atomicity in distributed
transaction processing. However, existing ACPs, designed specifically for fixed failure …

Software deployment misconfiguration often happens and has been one of the major causes
of deployment failures that give rise to service interruptions. However, there is currently no …

Microservice is a widely-adopted architecture for constructing cloud-native applications. To
test application resiliency, chaos engineering is widely used to inject faults proactively in …

Automated fault localization in large-scale cloud-based applications is challenging because
it involves mining multivariate time series data from large volumes of operational monitoring …