Abstract: The invention proposes a method and system for deriving real-time insights about heterogeneous infrastructure by allowing a user to post a natural language query. A natural language processing (NLP) engine converts the natural language query into a computer identifiable query. A query engine (QE), based on the computer identifiable query, predicts diverse infrastructure-specific commands. The QE utilizes Machine Learning (ML) models to understand the intent of the natural language query and predict the diverse infrastructure-specific commands. The QE transforms and forwards the infrastructure-specific commands to corresponding components of the heterogeneous infrastructure. One or more sensors integrated with the components of the heterogeneous infrastructure receive query from the QE and respond to the queries in real-time. An interpreter module converts the responses received from the sensors into a common data format and derives insights from the converted responses and transmits them to the user device.