The proliferation of services and service interactions within microservices and cloud-native
applications, makes it harder to detect failures and to identify their possible root causes …

Cloud applications are increasingly shifting from large monolithic services to complex
graphs of loosely-coupled microservices. Despite the advantages of modularity and …

Most cloud applications use a large number of smaller sub-components (called
microservices) that interact with each other in the form of a complex graph to provide the …

Driven by the emerging business models (eg, digital sales) and IT technologies (eg, DevOps
and Cloud computing), the architecture of software is shifting from monolithic to microservice …

An increasing number of Internet applications are applying microservice architecture due to
its flexibility and clear logic. The stability of microservice is thus vitally important for these …

Anomaly detection is a critical task for maintaining the performance of a cloud system. Using
data-driven methods to address this issue is the mainstream in recent years. However, due …

With the advantages of flexible scalability and fast delivery, microservice has become a
popular software architecture in the modern IT industry. However, the explosion in the …

For large-scale distributed systems, it is crucial to efficiently diagnose the root causes of
incidents to maintain high system availability. The recent development of microservice …

Availability issues of industrial microservice systems (eg, drop of successfully placed orders
and processed transactions) directly affect the running of the business. These issues are …

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