Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system

A large quantity of statistics is generated each day using DevOps techniques from many sources; inclusive of sensors, internet site utilization, gadget activities, and so on. This sparkling waft of activities have to be treated through modern packages. Occasion Micro-offerings enable structures extract beneficial statistics from those occurrences and help customers in making important commercial enterprise choices. In this work, an Event Driven Architecture is presented for Message Streaming data driven Microservices systems residing in distributed version control system. Processing of Messages and Stream Processing have been considered in this work. Latency in Event driven messaging system has been calculated by taking few cases of software projects. Finally, a brief overview has been given for Event-driven architecture versus message-driven architecture.