Kubernetes is the leading cluster management platform, and within Kubernetes, an operator is an application-specific program that leverages the Kubernetes API to automate operation tasks for managing an application deployed on a Kubernetes cluster. Users can declare a desired state for the managed cluster, specifying their configuration preferences. The operator program is responsible for reconciling the cluster's actual state to align with the desired state. However, the complex, dynamic, and distributed nature of the overall system can introduce operator bugs, and lead to severe consequences, e.g., outages and undesired cluster state. In this paper, we conduct the first comprehensive study on 210 operator bugs from 36 Kubernetes operators. For all the studied bugs, we investigate their root causes, manifestations, impacts and fixing. Our study reveals many interesting findings that can guide the detection and testing of operator bugs, as well as the development of more reliable operators.

Built on the WeChat social platform, WeChat Mini-Programs are widely used by more than 400 million users every day. Consequently, the reliability of Mini-Programs is particularly crucial. However, WeChat Mini-Programs suffer from various bugs related to execution environment, lifecycle management, asynchronous mechanism, etc. These bugs have seriously affected users' experience and caused serious impacts.