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 …

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Software architecture is undergoing a transition from monolithic architectures to
microservices to achieve resilience, agility and scalability in software development …

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 …

The complexity and dynamism of microservices pose significant challenges to system
reliability, and thereby, automated troubleshooting is crucial. Effective root cause localization …

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 …

Microservice architecture is applied by an increasing number of systems because of its
benefits on delivery, scalability, and autonomy. It is essential but challenging to localize root …

The high complexity and dynamics of the microservice architecture make its application
diagnosis extremely challenging. Static troubleshooting approaches may fail to obtain …