Real time processing is possible by growth of Internet of Things(IOT). Industrial operations and procedures how to work together explore in this article. IOT has played a key role by making real-time data collection, predictive maintenance and continuous monitoring possible. With a high volume of data generated through these devices, they need stronger processing and analytical capabilities. This would be carried out on far-off cloud servers, thereby creating latency detrimental to industrial applications running in real time. That's where Edge Computing comes into the picture. The reduction in latency, decrease in bandwidth requirements, and faster decision-making ability are the main advantages achieved by positioning data processing near the network's edge or near the source of the data. Applications that rely on real-time analytics, such as autonomous robotic operations, safety systems, and quality checks at a moment in time, can be developed by integrating Edge Computing with industrial systems’ IoT devices to support local data processing and rapid actuation. This chapter addresses architectural foundations, benefits, and difficulties associated with this integration. It elaborates on use developments that show some significant improvements. It offers detailed examples of use that illustrate significant productivity, dependability, and efficiency gains in a wide variety of industrial industries. The study finds that IoT and Edge Computing are a paradigm shift that will completely transform industrial automation and digital transformation in the future, rather than just a technical development.