Tata Consultancy Services Limited

Surath Kumar Dey

Swarup Chatterjee

Tanmaya Tewari

Pritha Mitra

The present subject matter relates to monitoring of an environment using data trend analysis. The method comprises obtaining at least one data trend pertaining to at least one data stream for a pre-defined period of time. The at least one data trend is indicative of a pattern followed by the at least one data stream. Further, at least one delta value pertaining to the at least one data stream may be computed, the at least one delta value being indicative of a deviation in the at least one data stream with respect to the at least one data trend at a specific time instance. Furthermore, at least one relationship between a plurality of data streams is identified based on the at least one data trend and identity metadata associated with each data stream. Based on the at least one delta value and the at least one relationship, at least one rule is generated.

Automated generation and dynamic update of rules

A method and system for monitoring performance of network transactions is described herein. According to the present invention, in a testing environment, transaction flow signatures representing a hierarchical flow of sub-transactions constituting the said network transactions are generated and stored for monitoring and analysis of the network transactions. In a real-time environment, the sub-transactions are identified through the stored transaction flow signatures for a particular network transaction and the identified sub-transactions are then monitored by metrics analysis engine to determine the performance of the network.

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Kolkata, India

Surath Kumar Dey