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 …

The dependability of cloud computing services is a major concern of cloud providers. In
particular, anomaly detection techniques are crucial to detect anomalous service behaviors …

With emerging container technologies, such as Docker, microservices-based applications
can be developed and deployed in cloud environment much agiler. The dependability of …

Effectively detecting run-time performance anomalies is crucial for clouds to identify
abnormal performance behavior and forestall future incidents. To be used for real-world …

Cloud platforms involve multiple independently developed components, often executing on
diverse hardware configurations and across multiple data centers. This complexity makes …

Cloud services have become the backbone of today's computing world. Runtime incidents,
which adversely affect the expected service operations, are extremely costly in terms of user …

Production incidents in today's large-scale cloud services can be extremely expensive in
terms of customer impacts and engineering resources required to mitigate them. Despite …

Performance and high availability have become increasingly important drivers, amongst
other drivers, for user retention in the context of web services such as social networks, and …

The management of cloud service incidents (unplanned interruptions or outages of a
service/product) greatly affects customer satisfaction and business revenue. After years of …

Container-based microservice architectures are emerging as a new approach for building
distributed applications as a collection of independent services that works together. As a …