Tuesday, May 30, 2023

DevOps and Industrial Internet of Things (IIoT)

By Nikhil Sonawane - October 31, 2022 3 Mins Read

DevOps-and-Industrial-Internet-of-Things-IIoT

IIoT has revolutionized the manufacturing industry and DevOps have become the key enabler that allows industries to successfully embrace it.

Industry experts are exploring opportunities for IoT in their IT infrastructure to create a virtual network of physical objects seamlessly connected with sensors, applications, and other tools to ensure frictionless interaction to share data across the systems in the network through the internet. Manufacturing businesses can integrate tools that enable them to ensure machine-to-machine (M2M) connectivity, processing big data and machine learning data to improve the efficiency and accuracy of their production floors. There is a surge in the adoption of IIoT in the manufacturing industry because of its ability to enable businesses to scale. Earlier industrial internet of things was capable of enhancing basic production processes, but today it even has the capability to improve supply chain management that contributes to higher conversion rates. IIoT is an effective way that manufacturers can embrace in their tech stack to identify the gaps in their production processes and make strategic changes to add more business value.

Also Read: Addressing The Impact of Quiet Quitting in IT Sector

The need for DevOps for IIoT 

Manufacturing businesses that converge their development and operations teams enables them to improve many internal processes based on the data gathered.

IT business leaders need to establish a DevOps culture that helps them to enhance the efficiency and scalability of their production processes with the industrial internet of things.

This approach enables the production units to deploy and maintain new applications and tools more efficiently without compromising on the code or the application quality. Highly skilled DevOps teams help the industrial units to reduce the time-to-market new applications, and features and eliminate the chances of implementation failures. Furthermore, even if the implementation fails, efficient DevOps will enable organizations to recover faster from their failures. Development and operations teams should develop IIoT devices and implement them into their entire tech stack to monitor energy consumed by every device and spot opportunities to save energy leading to lower operating costs. Here are a few that DevOps teams can leverage to strengthen their Industrial internet of things:

Seamless communication and collaboration

DevOps teams that have seamless collaboration and interaction throughout the organization are one of the most effective ways to strengthen their IoT development and deployment. Enterprises that are able to effectively align their quality assurance, operations, and production unit workforce and processes will enable them to design customized solutions that enhance the customer experience and accomplish the business goals.

Enforce efficient testing processes

Manufacturing DevOps teams can evaluate the efficiency of their production environment by setting effective testing schedules. It is crucial to identify all the dependencies to get actionable insights into the capabilities of the application and make strategic changes based on the results. Enterprises can integrate automated testing tools that help them to design, develop and deploy applications quickly.

Also Read: Decoding Four Major Misconceptions About Low-Code Platforms

Evaluate the analytics and application performance

Rather than gathering data in post-production to evaluate the mistakes, DevOps need to design and deploy analytics algorithms that can predict the quality and organizational challenges before implementation of the industrial internet of things. Development and operations teams that integrate such models in the initial stages of IIoT development will have a higher success rate.

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AUTHOR

Nikhil Sonawane

Nikhil Sonawane is a Tech Journalist with OnDot Media. He has 4+ years of technical expertise in drafting content strategies for Blockchain, Supply Chain Management, Digital Transformation, Artificial Intelligence, Big Data, SaaS, PaaS, cloud computing, Data analytics, Enterprise Resource Planning (ERP) solutions, and other emerging enterprise technologies and trends.With eclectic experience in working and writing about complex enterprise systems, he has an impressive track record of success. Through his specialized knowledge of thoughtful and compelling writing styles, he covers a wide range of topics that delve into organizational effectiveness, successful change, and innovation management.His Commitment to ongoing learning and improvement helps him to deliver thought-provoking insights and analysis on complex technologies and tools that are revolutionizing modern enterprises.He brings his eye for editorial detail and keen sense of language skills to every article he writes. If traveling was free, it would have been difficult to trace him.

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