Hybrid clouds bring together the advantages of the on-premises, private and public cloud services. Agility, privacy, and regulatory compliance are some of the advantages of hybrid clouds. However, the key characteristics of complex hybrid cloud application such as heterogeneity, reliability, interoperability, scalability and dynamic nature also makes old static approaches brittle. A digital twin can capture real time (meta) data of a hybrid cloud application and supply valuable insights for efficient management of the cloud services and analyzing faults. In this paper, we propose a digital twin assisted approach to analyze the faults, interoperability and reliability issues of a hybrid cloud-based application. We also present some metamorphic relations to analyze the reliability of our twin. Insights from digital twin can assist developers to take proactive measures before a fault occur. The digital twin can also help detect faults and identify the cause and remediation steps through data insights. The key advantage of using digital twin is that it helps detect issues in complex hybrid cloud applications in a holistic way.