Context: Due to the continuous updates and complex dependencies of microservices, the
probability of a fault occurrence and the difficulty of doing a diagnosis have increased …

AI-based monitoring has become crucial for cloud-based services due to its scale. A
common approach to AI-based monitoring is to detect causal relationships among service …

Storage, as a core function and fundamental component of computers, provides services for
saving and reading digital data. The increasing complexity of data operations and storage …

Modern cloud services are prone to failures due to their complex architecture, making
diagnosis a critical process. Site Reliability Engineers (SREs) spend hours leveraging …

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

Detecting anomalies and the corresponding root causes in multivariate time series plays an
important role in monitoring the behaviors of various real-world systems, eg, IT system …

Cloud-native is an innovative technology and methodology that is necessary to realize the
digital transformation of enterprises. Promoting the wide adoption of cloud-native in cloud …

Maintenance is a vital aspect of ensuring the reliability, availability, and safety of machinery
and systems. Traditional maintenance approaches, such as corrective and preventive …

Fault localization in online microservices is a challenging task due to the vast amount of
monitoring data, diversity of types and events, and complex interdependencies among …

Explainability can help cyber-physical systems alleviating risk in automating decisions that
are affecting our life. Building an explainable cyber-physical system requires deriving …